System and method for providing depth adaptive video conferencing

Information

  • Patent Grant
  • 8896655
  • Patent Number
    8,896,655
  • Date Filed
    Tuesday, August 31, 2010
    13 years ago
  • Date Issued
    Tuesday, November 25, 2014
    9 years ago
Abstract
A method is provided in one example and includes capturing panoramic image data through a first camera in a camera cluster, and capturing close-up image data through a second camera included as part of a spaced array of cameras. The presence of a user in a field of view of the second camera can be detected. The close-up image data and the panoramic image data can be combined to form a combined image. In more specific embodiments, the detecting includes evaluating a distance between the user and the second camera. The combined image can reflect a removal of a portion of panoramic image data associated with the user in a video conferencing environment.
Description
TECHNICAL FIELD

This disclosure relates in general to the field of video-conferencing and, more particularly, to providing depth adaptive video conferencing.


BACKGROUND

Video services have become increasingly important in today's society. In certain architectures, service providers may seek to offer sophisticated video conferencing services for their end users. The video conferencing architecture can offer an “in-person” meeting experience over a network. Video conferencing architectures can deliver real-time, face-to-face interactions between people using advanced visual, audio, and collaboration technologies. Some issues have arisen in video conferencing scenarios where a group, rather than just an individual, needs to be clearly presented. Also, if participants are not tied to a desk or a conferencing table, but rather are free to stand and walk around, problems surface in choosing a suitable camera perspective. Deficient camera arrangements can lead to distorted or incomplete video images being sent to participants in a video conference. Hence, the ability to optimize cameras and video images provides a significant challenge to system designers, device manufacturers, and participants of video conferences.





BRIEF DESCRIPTION OF THE DRAWINGS

To provide a more complete understanding of the present disclosure and features and advantages thereof, reference is made to the following description, taken in conjunction with the accompanying figures, wherein like reference numerals represent like parts, in which:



FIG. 1 is a simplified schematic diagram illustrating a system for providing depth adaptive video conferencing in accordance with one embodiment of the present disclosure;



FIG. 2 is a simplified schematic diagram illustrating a cluster of cameras associated with the depth adaptive video conferencing system in accordance with one embodiment of the present disclosure;



FIG. 3 is a simplified schematic diagram illustrating a spaced array of cameras associated with the depth adaptive video conferencing system in accordance with one embodiment of the present disclosure;



FIG. 4 is a simplified schematic diagram illustrating a video conference participant at lifesize distance from the spaced array cameras in accordance with one embodiment of the present disclosure;



FIG. 5 is a simplified schematic diagram illustrating a video conference participant at a greater than lifesize distance from the spaced array cameras in accordance with one embodiment of the present disclosure;



FIG. 6 is a simplified schematic diagram illustrating a video conference participant at a lifesize distance from the spaced array cameras after the cameras' field of view has been adjusted; and



FIG. 7 is a simplified flow diagram illustrating potential operations associated with the system.





DETAILED DESCRIPTION OF EXAMPLE EMBODIMENTS
Overview

A method is provided in one example and includes capturing panoramic image data through a first camera in a camera cluster, and capturing close-up image data through a second camera included as part of a spaced array of cameras. A presence of a user in a field of view of the second camera can be detected. The close-up image data and the panoramic image data can be combined to form a combined image. In more specific embodiments, the detecting includes evaluating a distance between the user and the second camera. The combined image can reflect a removal of a portion of panoramic image data associated with a user in a video conferencing environment.


In other embodiments, the method can include communicating the combined image over a network connection to a remote location. The remote location can receive and display the combined image. The method can also include dynamically scaling the close-up image data based on a distance between a user in a video conferencing environment and the second camera. The field of view of the second camera can be adjusted based on a detected distance of the user from the second camera. The field of view of the second camera can be adjusted by adjusting a zoom of the second camera.


Example Embodiments

Turning to FIG. 1, FIG. 1 is a simplified schematic diagram of a system 10 for providing depth adaptive video conferencing. FIG. 1 includes ROOM 1 in a first location and ROOM 2 (separate from ROOM 1) in a remote location. ROOM 1 may include an image display wall (e.g., a Telepresence wall) that includes a plurality of display panels 11a-11d. Mounted on each display panel 11a-11d is a spaced array arrangement of cameras 12a-12d. In addition, in the middle of the top of the image display wall is a camera cluster 16 of four area cameras in this particular example. A participation area 18, in which teleconference participants 20, 22 can freely move, is defined outward from the image display wall. System 10 may further include a server 40 for managing images from the cameras. Server 40 can include a processor 42a, a memory element 44a, and a view synthesis module 46a.


ROOM 1 is connected to ROOM 2 via a network connection 41 in this particular example. ROOM 2 may be setup similar to ROOM 1 with a corresponding image display wall having a plurality of display panels 31a-31d, a set of cameras 32a-32d, and a camera cluster 36 of four area cameras in this example. Note that in particular implementations, camera clusters 16 and 36 can be panoramic and angled to cover an entire room in a non-overlapping manner. Hence, the panoramic cameras can be centered, stacked (vertically or horizontally), angled, and/or provisioned in the center of a given wall display. A participation area 38 is also included in ROOM 2 and, further, is spaced outward from the image display wall for use by a participant 30 of ROOM 2 (e.g., during a conference). The network connection couples server 40 to server 48. Server 48 includes a processor 42b, a memory element 44b, and a view synthesis module 46b, where server 48 can readily interact with (and understand communications from) server 40.


In operation of an example associated with FIG. 1, each of display panels 11a-11d and 31a-31d can be large (e.g., 65-inch) plasma displays mounted on a wall and, further, subsequently turned 90° to offer a portrait style image. In most mountings, where the displays would be offset from the ground by several inches, the panel configuration is similar in size to a full-length mirror. The image display walls of FIG. 1 reflect a row of four of these displays: covering 10-15 feet of a wall. This deployment allows people to sit, stand, or walk around their respective rooms, where their image data is still captured by the image display walls. In a general sense, system 10 acts as a virtual portal (i.e., a window) between the two rooms utilizing two distinct modes: a whole-room mode and a face-to-face mode.


In a first mode, the participation areas 18, 38 can be imaged in a whole-room mode to offer suitable depth to the image data. Each respective set of display panels 11a-11d, 31a-31d can show a cohesive view of the entire room and, further, the people in the room. Note that in order to capture an entire room with a coherent perspective, a single viewpoint is preferred. Either a fish-eye lens or a cluster of co-located (i.e., panoramic) cameras can accomplish this objective. However, this single view alone creates a problem because, as participants approach the image display wall, particularly closer to either end of the image display wall, the panoramic camera captures their image data from a side view rather than from a frontal view.


In a second mode, participation areas 18, 38 can be imaged in a face-to-face mode. When people are in a deliberate (e.g., more intimate) conversation, they typically stand closer to each other. In videoconferencing scenarios, the tendency is to walk up closer to the image display wall and, further, attempt to maintain consistent eye contact with the counterparty. In order to get near-correct eye-gaze in a face-to-face video conference, the camera should be mounted close to (usually directly above) the image of the far-end person. Since the users are free to stand in front of any part (i.e., any panel) of the video wall, this would require a group of cameras: distributed across the face of the display wall. However, a group of such cameras can present an inconsistent picture of a room. Objects in the back of the room appear in several cameras, as the fields of view overlap there. An array of cameras can produce a number of images of the same scene from different viewpoints. They cannot be combined or stitched into one coherent picture.


In accordance with certain teachings of the present disclosure, system 10 can utilize a varying combination of panoramic images from the whole-room mode with close-up images from the face-to-face mode. Cluster systems 16, 36 of cameras mounted in the middle of the top of the respective image display wall can effectively capture the panoramic image of the entire room. Operationally, the video images emanating from the combination of the panoramic cameras and the close-up cameras can be combined in an intelligent manner to create the video images (i.e., combined images) that are transmitted to a distant endpoint. In particular, when a person is close to the image display wall, the close-up camera nearest to him can be activated, where that image is transmitted to a corresponding panel at the distant endpoint. In other instances, when no person is close to the wall, the panoramic image of the room is displayed across all the panels of the distant endpoint. Hence, system 10 is configured to intelligently support two modes of image capture (e.g., whole room and face-to-face). This can be accomplished by leveraging two different camera configurations: panoramic and face-to-face (close-up). The respective video images can be combined digitally in a way that adapts to the presence and, further, the location of people in the conferencing room.


In terms of its potential physical deployment, system 10 can include a wall display with two groups of cameras: panoramic cameras and close-up cameras. A panoramic camera cluster can be mounted in a central location (e.g., about 6.5 feet from the floor on the display wall, capturing most of the room). The display wall can be divided into a number of panels approximately (e.g., three feet in width). Each panel can be provisioned with a close-up camera directly over it. An algorithm for combining video images (e.g., provided by view synthesis modules 46a-b) can intuitively render accurate image data to corresponding participants. More specifically, the location of the people in the room can be tracked visually. As a person approaches one of the display panels (e.g., a selected distance [such as within 6 feet of one of the panels]), a personal view is selected for the video stream corresponding to that panel, which is the video stream being sent to the far location of the video conference.


When a personal view is selected, the image of the person in the corresponding personal camera is segmented: removing the background imagery (e.g., from the panoramic image data) and leaving the foreground (i.e., the person). The image of the person can be scaled according to their physical distance from the camera in such a way as to make them approximately lifesize. The image of the person can subsequently be matted on top of the image from the panoramic camera, corresponding to that panel. In regards to the far endpoint, the corresponding users would see a coherent panoramic view of the room, spread across their video wall: except in one panel. In that panel, they see an intelligent rendering of their counterparty, as viewed from the close-up camera with the panoramic room behind them.


In essence, system 10 can leverage two sets of cameras with overlapping field of view coverage. System 10 switches (i.e., adaptively) between cameras based on the position of the people within the imaging environment. The architecture can use cameras distributed across the surface of a display wall for tracking people proximate to the display wall. It can also use centrally co-located cameras for tracking people that are farther from the wall.


Note that system 10 stands in contrast to camera systems that independently switch when a person is in view, or when that person is detected. The architecture of system 10 can use a cluster of co-located cameras to maintain a consistent perspective view of the room across the entire display surface. Operationally, the close-up cameras can be positioned, assigned to the display surface, and/or switched in a way to maintain (as much as possible) the coherent perspective. The close-up cameras can achieve a face-to-face image with superior eye contact, which would be otherwise impossible with only co-located cameras.


In the most basic system, the close-up view is simply switched into the video stream: replacing the panoramic view. This action can be triggered by the detection of a person in the close-up region. In a more particular embodiment, enhanced processing can occur to produce the video image when the close-up up camera is engaged. The image of the person can be isolated using foreground/background separation processing. In the case of image segmentation, the image of the person may be superimposed on an image of the background scene from the perspective of the panoramic camera cluster. Again, enhanced processing can occur to produce the video image when the close-up up camera is engaged. The images of the person can be scaled dynamically according to their distance from the display wall. In this way their image does not become overly magnified, as they move closer to the display wall.


In one implementation, servers 40 and 48 include software to achieve (or to foster) the intelligent depth adaptive functions (and the field of view enhancements), as outlined herein in this Specification. Note that in one example, each of these elements can have an internal structure (e.g., a processor, a memory element, etc.) to facilitate some of the operations described herein. In other embodiments, these depth adaptive functions (and the field of view enhancements) may be executed externally to these elements, or included in some other network element to achieve this intended functionality. Alternatively, servers 40 and 48 and/or cameras 12a-d, cameras 32a-d (and any camera within camera cluster 16 and 36) may include this software (or reciprocating software) that can coordinate with other network elements in order to achieve the operations, as outlined herein. In still other embodiments, one or several devices may include any suitable algorithms, hardware, software, components, modules, interfaces, or objects that facilitate the operations thereof.


Referring now to FIG. 2, a simplified schematic diagram of camera cluster 16 is provided in accordance with one embodiment of the present disclosure. For illustration purposes in this schematic, camera cluster 16 is shown separated from display panels 11a-11d; however, the cameras of camera cluster 16 can be mounted on the front of display panels 11a-11d, as depicted in FIG. 1. Each camera of camera cluster 16 can be positioned to capture images of a certain part of participation area 38. This is represented in a hashed area 50, where each of the cameras of camera cluster 16 (e.g., from top to bottom) are positioned to capture the corresponding top-to-bottom area defined within hashed area 50. These images can be continuously fed to a server, as discussed in detail below. Before turning to additional operations associated with system 10, a brief discussion is provided about the possible infrastructure that may be provisioned in conjunction with the present disclosure.


In one particular example, cameras 12a-12d, 32a-d (and the additional cameras of camera clusters 16, 36) are video cameras configured to capture, record, maintain, cache, receive, and/or transmit image data. This could include transmitting packets over network 41 to any suitable next destination. The captured/recorded image data could be stored in the individual cameras, or be provided in some suitable storage area (e.g., a database, a server, etc.). In one particular instance, cameras 12a-12d, 32a-d (and the additional cameras of camera clusters 16, 36) can be their own separate network device and have a separate IP address. Cameras 12a-12d, 32a-d (and the additional cameras of camera clusters 16, 36) could be wireless cameras, high-definition cameras, or any other suitable camera device configured to capture image data. In terms of their physical deployment, in one particular implementation, cameras 12a-12d, 32a-32d are close-up cameras, which are mounted near the top (and at the center of) display panels 11a-11d and 31a-31d. One camera can be mounted to each display. Other camera arrangements and camera positioning is certainly within the broad scope of the present disclosure.


Cameras 12a-12d, 32a-d (and the additional cameras of camera clusters 16, 36) may interact with (or be inclusive of) devices used to initiate a communication for a video session, such as a switch, a console, a proprietary endpoint, a microphone, a dial pad, a bridge, a telephone, a smartphone (e.g., Google Droid, iPhone, etc.), an iPad, a computer, or any other device, component, element, or object capable of initiating video, voice, audio, media, or data exchanges within system 10. Cameras 12a-12d, 32a-d (and the additional cameras of camera clusters 16, 36) can also be configured to include a receiving module, a transmitting module, a processor, a memory, a network interface, a call initiation and acceptance facility such as a dial pad, one or more speakers, one or more displays, etc. Any one or more of these items may be consolidated, combined, or eliminated entirely, or varied considerably and those modifications may be made based on particular communication needs.


Note that in one example, cameras 12a-12d, 32a-d (and the additional cameras of camera clusters 16, 36) can have internal structures (e.g., with a processor, a memory element, etc.) to facilitate some of the operations described herein. In other embodiments, these video image enhancements features may be provided externally to these cameras or included in some other device to achieve this intended functionality. In still other embodiments, cameras 12a-12d, 32a-d (and the additional cameras of camera clusters 16, 36) may include any suitable algorithms, hardware, software, components, modules, interfaces, or objects that facilitate the operations thereof.


Note that the term ‘camera cluster’ is not intended to require a certain number or type of cameras be utilized. Rather, a camera cluster simply identifies two or more cameras used to capture image data. For example, a first camera cluster for capturing a panoramic image could be one camera with a fish-eye type lens, and/or four separate cameras capturing the same viewing angles as could be captured by the fish-eye type camera. Additionally, as used herein in this Specification, ‘panoramic image data’ is a broad term meant to connote video data of a given area or environment, whereas the term ‘up-close image data’ is similarly broad and representative of video data that may be associated with objects somewhat closer to a given camera (or wall). Hence, up-close image data and panoramic image data are broad terms that in some instances, may share some overlapping coverage, video data, etc., or be separated.


In operational terms, close-up camera switching may be controlled by various mechanisms, depending on the environment and desired complexity. These can include face detection that operates on the close-up cameras video signal. These mechanisms can also include depth sensors at the display surface (e.g., a time-of-flight depth camera). These mechanisms can also include floor sensors, position sensing using overhead cameras, or any other suitable mechanism to achieve this objective. In terms of the dynamic field of view, the close-up cameras can be provisioned in an array across the top of a display wall. In one particular instance, these can be spaced apart (e.g., approximately three feet apart, or any other suitable distance), where each camera can be centrally located over a flat-panel display mounted portrait style. The field of view (FOV) of these cameras is important and, further, in a particular instance the FOV can be equivalent to magnification or zoom. Other examples may include different provisioning arrangements for the FOV.


Displays 11a-11d and 31a-31d are screens at which video data can be rendered for the end user. Note that as used herein in this Specification, the term ‘display’ is meant to connote any element that is capable of delivering image data (inclusive of video information), text, sound, audiovisual data, etc. to an end user. This would necessarily be inclusive of any panel, plasma element, television, monitor, computer interface, screen, TelePresence devices (inclusive of TelePresence boards, panels, screens, surfaces, etc.) or any other suitable element that is capable of delivering/rendering/projecting such information. Note also that the term ‘image data’ is meant to include any type of media or video (or audio-video) data applications (provided in any protocol or format) that could operate in conjunction display panels 11a-11d and 31a-31d.


Network 41 represents a series of points or nodes of interconnected communication paths for receiving and transmitting packets of information that propagate through system 10. Network 41 offers a communicative interface between any of the components of FIG. 1 and remote sites, and may be any local area network (LAN), wireless local area network (WLAN), metropolitan area network (MAN), wide area network (WAN), virtual private network (VPN), Intranet, Extranet, or any other appropriate architecture or system that facilitates communications in a network environment. Note that in using network 41, system 10 may include a configuration capable of transmission control protocol/internet protocol (TCP/IP) communications for the transmission and/or reception of packets in a network. System 10 may also operate in conjunction with a user datagram protocol/IP (UDP/IP) or any other suitable protocol, where appropriate and based on particular needs.


Servers 40, 48 are configured to receive information from cameras 12a-12d, 32a-d, and camera clusters 16, 36 (e.g., via some connection that may attach to an integrated device (e.g., a set-top box, a proprietary box, etc.) that sits atop the display and that includes [or that may be part of] cameras 12a-12d, 32a-d and camera clusters 16, 36). Servers 40, 48 may also be configured to control compression activities, or additional processing associated with data received from the cameras (inclusive of the camera clusters). Alternatively, the actual integrated device can perform this additional processing before image data is sent to its next intended destination. Servers 40, 48 can also be configured to store, aggregate, process, export, and/or otherwise maintain image data and logs in any appropriate format, where these activities can involve respective processors 42a-b, memory elements 44a-b, and view synthesis modules 46a-b. Servers 40, 48 are network elements that facilitate data flows between endpoints and a given network. As used herein in this Specification, the term ‘network element’ is meant to encompass routers, switches, gateways, bridges, loadbalancers, firewalls, servers, processors, modules, or any other suitable device, component, element, or object operable to exchange information in a network environment. This includes proprietary elements equally.


Servers 40, 48 may interface with the cameras and the camera clusters through a wireless connection, or via one or more cables or wires that allow for the propagation of signals between these two elements. These devices can also receive signals from an intermediary device, a remote control, etc. and the signals may leverage infrared, Bluetooth, WiFi, electromagnetic waves generally, or any other suitable transmission protocol for communicating data (e.g., potentially over a network) from one element to another. Virtually any control path can be leveraged in order to deliver information between servers 40, 48 and the cameras and the camera clusters. Transmissions between these two sets of devices can be bidirectional in certain embodiments such that the devices can interact with each other (e.g., dynamically, real-time, etc.). This would allow the devices to acknowledge transmissions from each other and offer feedback, where appropriate. Any of these devices can be consolidated with each other, or operate independently based on particular configuration needs.


Referring now to FIG. 3, a simplified schematic diagram of the arrangement of close-up cameras 12a-12d is illustrated in accordance with one embodiment of the present disclosure. For illustration purposes, cameras 12a-12d are shown separated from the display panels 11a-11d. Cameras 12a-12d are arranged so that each camera can capture images of the area in front of each respective camera. Each camera 12a-12d has a corresponding field of view, which has been depicted as a hashed line triangle 60a-60d for each respective camera.


In particular implementations, the images from each of close-up cameras 12a-12d may be sent to server 40, which may include a proximity detection mechanism in order to identify when a person comes within a certain designated distance (for example, six feet) of a particular camera. When the system recognizes that a person has entered this zone, that particular image is then utilized and, further, combined with the panoramic image to form the combined image of ROOM 1. It should be noted that the configuration of system 10 can utilize any appropriate mechanism for determining if a person/user is within a certain distance of a camera. For example, depth sensors (e.g., such as a time-of-flight depth cameras), at the display surface could be utilized. Alternatively, floor sensors could be mounted in participation area 18 to detect the location of people in the room. Another option would be utilizing a position sensing system of overhead cameras. Any such permutations are clearly within the broad scope of the present disclosure.


Referring now to FIG. 4, a simplified schematic diagram is shown, illustrating a video conference participant 72 at a distance from spaced array cameras 12a-12d. As depicted, each field of view 60a-60d has portions that overlap other triangles, and portions that do not. Note that the lifesize distance identifies the distance from cameras 12a-12d, where the respective fields of view 60a-60d converge. This is represented in FIG. 4 as a hashed line 74. When participant 72 stands at a lifesize distance in front of a single camera 12c, only that camera's signal would be intelligently combined with the panoramic image data.


However, when participant 72 moves, the process can become more complex. Referring now to FIG. 5, participant 72 is shown moving to the area where the fields of view 60c, 60d of two cameras 12c, 12d overlap each other. Therefore, at least some of the same portions of the participant can appear in the image captured by both cameras 12c, 12d: making the image of participant 72 appear distorted in the combined image. For example, in the example of FIG. 5, it appears that 100% of participant 72 is in field of view 60c and about 75% of participant 72 is in field of view 60d. This would mean that 175% of participant 72 would show up in the corresponding displays of the remote room (e.g., ROOM 2 of FIG. 1). To compensate for this problematic issue, system 10 can adjust fields of view 60a-60d of cameras 12a-12d.


Referring now to FIG. 6, modified fields of view are shown, where a modified lifesize distance is also shown. FIG. 6 further includes an image of what the end display in ROOM 2 would render. System 10 is able to utilize the distance information discussed above to identify the distance between the associated cameras and the targeted participant. The zoom of the corresponding camera can then be adjusted automatically to narrow or to expand the fields of view, as needed to place the lifesize distance at the same distance from the cameras as the participant. It may be that this zoom adjust occurs simultaneously and equally in all four close-up cameras in particular implementations. This can result in the participant being represented on the displays in the remote room (e.g., ROOM 2) as accurately as possible.



FIG. 7 is a simplified flow diagram illustrating one potential operation associated with the present disclosure. The flow may begin at step 110, where camera cluster 16 receives an image of a participation area of a first room, and sends this image to server 40. At step 112, the close-up cameras receive images of their respective areas, and send those close-up images to a server (e.g., server 40). View synthesis module 46a can examine the close-up images to determine if there are any people present at step 114. If there are no users present, the panoramic image becomes the combined image at step 116. That combined image is then ready to be transmitted to the second room at step 118, and appropriately displayed on displays of the second room.


Alternatively, if individuals are detected by view synthesis module 46a, the distance from the camera to the respective person can subsequently be determined at step 120. If a person is outside of the designated distance, the panoramic image can become the combined image at step 116. That combined image is then ready to be transmitted to the second room at step 118, and suitably displayed on displays of the second room. However, if a person is within the designated distance, the distance to the person can be compared to the current lifesize distance in step 122. Then, in step 124, if the lifesize distance is not equal to the distance to the person, the fields of view of the close-up cameras can be adjusted to make those distances equal. Subsequently, a new image is taken by the close-up cameras, and received by server 40 in step 126. The lifesize distance is then compared again at step 122. If the lifesize distance and distance to the person are equal, the background can be removed from the close-up image (e.g., by view synthesis module 46a) at step 128.


At this juncture, the close-up image consists simply of the foreground of that original image (i.e., the person). In step 130, this image can be scaled to make it appear (approximately) life sized. In step 132, the system can remove the close up person's image pixels from the panoramic camera image. At step 134, the system can replace the removed pixels with pixels from the historic background and/or pixels that were discarded previously (e.g., in step 128). At step 136, a combined image is created after optionally blurring the background image. That combined image is then ready to be transmitted to the second room at step 118. The combined image can be rendered on the displays of the second room. A similar (reciprocal) process can be occurring in the second room. This could involve operations being performed by server 48 (e.g., with the assistance of view synthesis module 46b). The combined image from that process can be suitably transmitted to the first room for rendering on displays provisioned in the first room.


Note that in certain example implementations, the field of view adjustment functions (and the intelligent depth adaptive activities) outlined herein may be implemented by logic encoded in one or more tangible media (e.g., embedded logic provided in an application specific integrated circuit [ASIC], digital signal processor [DSP] instructions, software [potentially inclusive of object code and source code] to be executed by a processor, or other similar machine, etc.). In some of these instances, a memory element [as shown in FIG. 1] can store data used for the operations described herein. This includes the memory element being able to store software, logic, code, or processor instructions that are executed to carry out the activities described in this Specification. A processor can execute any type of instructions associated with the data to achieve the operations detailed herein in this Specification. In one example, the processor [as shown in FIG. 1] could transform an element or an article (e.g., data) from one state or thing to another state or thing. In another example, the activities outlined herein may be implemented with fixed logic or programmable logic (e.g., software/computer instructions executed by a processor) and the elements identified herein could be some type of a programmable processor, programmable digital logic (e.g., a field programmable gate array [FPGA], an erasable programmable read only memory (EPROM), an electrically erasable programmable ROM (EEPROM)) or an ASIC that includes digital logic, software, code, electronic instructions, or any suitable combination thereof.


In one example implementation, servers 40 and 48 and/or cameras 12a-12d, 32a-32d (inclusive of any camera within the aforementioned clusters) can include software in order to achieve the field of view adjustment functions (and the intelligent depth adaptive activities) outlined herein. This can be provided through instances of view synthesis modules 46a, 46b. Additionally, each of these devices may include a processor that can execute software or an algorithm to perform the depth adaptive (and field of view enhancement) activities, as discussed in this Specification. These devices may further keep information in any suitable memory element [random access memory (RAM), ROM, EPROM, EEPROM, ASIC, etc.], software, hardware, or in any other suitable component, device, element, or object where appropriate and based on particular needs. Any of the memory items discussed herein (e.g., database, table, cache, key, etc.) should be construed as being encompassed within the broad term ‘memory element.’ Similarly, any of the potential processing elements, modules, and machines described in this Specification should be construed as being encompassed within the broad term ‘processor.’ Each of synthesis modules 46a, 46b and cameras 12a-12d, 32a-32d (inclusive of any camera within the aforementioned clusters) can also include suitable interfaces for receiving, transmitting, and/or otherwise communicating data or information in a network environment.


Note that with the example provided above, as well as numerous other examples provided herein, interaction may be described in terms of two or three components. However, this has been done for purposes of clarity and example only. In certain cases, it may be easier to describe one or more of the functionalities of a given set of flows by only referencing a limited number of components. It should be appreciated that system 10 (and its teachings) are readily scalable and can accommodate a large number of components, participants, rooms, endpoints, sites, etc., as well as more complicated/sophisticated arrangements and configurations. Accordingly, the examples provided should not limit the scope or inhibit the broad teachings of system 10 as potentially applied to a myriad of other architectures.


It is also important to note that the steps in the preceding flow diagrams illustrate only some of the possible conferencing scenarios and patterns that may be executed by, or within, system 10. Some of these steps may be deleted or removed where appropriate, or these steps may be modified or changed considerably without departing from the scope of the present disclosure. In addition, a number of these operations have been described as being executed concurrently with, or in parallel to, one or more additional operations. However, the timing of these operations may be altered considerably. The preceding operational flows have been offered for purposes of example and discussion. Substantial flexibility is provided by system 10 in that any suitable arrangements, chronologies, configurations, and timing mechanisms may be provided without departing from the teachings of the present disclosure.


For example, although cameras 12a-12d, 32a-d, and camera clusters 16, 36 have been described as being mounted in a particular fashion, these cameras could be mounted in any suitable manner in order to capture image data from an effective viewpoint. Other configurations could include suitable wall mountings, aisle mountings, furniture mountings, cabinet mountings, etc., or arrangements in which cameras and/or optics element would be appropriately spaced or positioned to perform its functions. Additionally, system 10 can have direct applicability in TelePresence environments (both large and small [inclusive of consumer applications]) such that quality image data can be appropriate managed during video sessions. Moreover, although system 10 has been illustrated with reference to particular elements and operations that facilitate the communication process, these elements and operations may be replaced by any suitable architecture or process that achieves the intended functionality of system 10.

Claims
  • 1. A method, comprising: capturing panoramic image data through a first camera in a camera cluster, wherein the camera cluster includes the first camera and a plurality of close-up cameras, wherein the panoramic image data includes background imagery, wherein the camera cluster is located on a display wall that includes a plurality of display panels, wherein a close-up region is associated with each display panel in the plurality of display panels, wherein each display panel includes at least one close-up camera from the plurality of close-up cameras to capture close-up image data of the close-up region associated with the display panel when a presence of a user is detected in the close-up region;capturing close-up image data through a second camera associated with a first display panel when the presence of the user is detected in a close-up region associated with the first display panel, wherein the background imagery is removed from the close-up image data, wherein the second camera is included in the plurality of close-up cameras;scaling the close-up image data based on a distance between the user and the second camera; andcombining the close-up image data and the panoramic image data to form a combined image.
  • 2. The method of claim 1, wherein the user is detected in the close-up region by at least evaluating a distance between the user and the second camera.
  • 3. The method of claim 1, wherein the combined image reflects a matting of the close-up image data onto the panoramic image data.
  • 4. The method of claim 1, further comprising: communicating the combined image over a network connection to a remote location, wherein the remote location receives and displays the combined image.
  • 5. The method of claim 1, further comprising: adjusting a field of view of the second camera based on a detected distance of the user from the second camera.
  • 6. The method of claim 5, wherein the field of view of the second camera is adjusted by adjusting a zoom of the second camera.
  • 7. Logic encoded in one or more non-transitory tangible media that includes code for execution and when executed by a processor operable to perform operations comprising: capturing panoramic image data through a first camera in a camera cluster, wherein the camera cluster includes the first camera and a plurality of close-up cameras, wherein the panoramic image data includes background imagery, wherein the camera cluster is located on a display wall that includes a plurality of display panels, wherein a close-up region is associated with each display panel in the plurality of display panels, wherein each display panel includes at least one close-up camera from the plurality of close-up cameras to capture close-up image data of the close-up region associated with the display panel when a presence of a user is detected in the close-up region;capturing close-up image data through a second camera associated with a first display panel when the presence of the user is detected in a close-up region associated with the first display panel, wherein the background imagery is removed from the close-up image data, wherein the second camera is included in the plurality of close-up cameras;scaling the close-up image data based on a distance between the user and the second camera; andcombining the close-up image data and the panoramic image data to form a combined image.
  • 8. The logic of claim 7, wherein the user is detected in the close-up region by at least evaluating a distance between the user and the second camera.
  • 9. The logic of claim 7, wherein the combined image reflects a matting of the close-up image data onto the panoramic image data.
  • 10. The logic of claim 7, the operations further comprising: communicating the combined image over a network connection to a remote location, wherein the remote location receives and displays the combined image.
  • 11. The logic of claim 7, the operations further comprising: adjusting a field of view of the second camera based on a detected distance of the user from the second camera.
  • 12. An apparatus, comprising: a memory element configured to store data,a processor operable to execute instructions associated with the data, anda view synthesis module, the apparatus being configured to: capture panoramic image data through a first camera in a camera cluster, wherein the camera cluster includes the first camera and a plurality of close-up cameras, wherein the panoramic image data includes background imagery, wherein the camera cluster is located on a display wall that includes a plurality of display panels, wherein a close-up region is associated with each display panel in the plurality of display panels, wherein each display panel includes at least one close-up camera from the plurality of close-up cameras to capture close-up image data of the close-up region associated with the display panel when a presence of a user is detected in the close-up region;capture close-up image data through a second camera associated with a first display panel when the presence of the user is detected in a close-up region associated with the first display panel, wherein the background imagery is removed from the close-up image data, wherein the second camera is included in the plurality of close-up cameras;scale the close-up image data based on a distance between the user and the second camera; andcombine the close-up image data and the panoramic image data to form a combined image.
  • 13. The apparatus of claim 12, wherein the user is detected in the close-up region by at least evaluating a distance between the user and the second camera.
  • 14. The apparatus of claim 12, wherein the combined image reflects a matting of the close-up image data onto the panoramic image data.
  • 15. The apparatus of claim 12, the apparatus being further configured to: communicate the combined image over a network connection to a remote location, wherein the remote location receives and displays the combined image.
  • 16. The method of claim 1, where a field of view of each camera in the camera cluster does not overlap with another field of view of another camera in the camera cluster.
  • 17. The method of claim 1, wherein the close-up image data captures a standing image of the user.
  • 18. The method of claim 1, wherein the combined image includes a consistent perspective view of a room that includes the plurality of display panels.
  • 19. The method of claim 1, wherein the plurality of display panels includes the first display panel and a second display panel and the method further comprises: capturing close-up image data through a third camera associated with the second display panel when the presence of a second user is detected in a close-up region associated with the second display panel, wherein the background imagery is removed from the close-up image data.
US Referenced Citations (623)
Number Name Date Kind
2911462 Brady Nov 1959 A
D212798 Dreyfuss Nov 1968 S
3793489 Sank Feb 1974 A
3909121 De Mesquita Cardoso Sep 1975 A
D270271 Steele Aug 1983 S
4400724 Fields Aug 1983 A
4473285 Winter Sep 1984 A
4494144 Brown Jan 1985 A
4750123 Christian Jun 1988 A
4815132 Minami Mar 1989 A
4827253 Maltz May 1989 A
4853764 Sutter Aug 1989 A
4890314 Judd et al. Dec 1989 A
4961211 Tsugane et al. Oct 1990 A
4994912 Lumelsky et al. Feb 1991 A
5003532 Ashida et al. Mar 1991 A
5020098 Celli May 1991 A
5033969 Kamimura Jul 1991 A
5136652 Jibbe et al. Aug 1992 A
5187571 Braun et al. Feb 1993 A
5200818 Neta et al. Apr 1993 A
5243697 Hoeber et al. Sep 1993 A
5249035 Yamanaka Sep 1993 A
5255211 Redmond Oct 1993 A
D341848 Bigelow et al. Nov 1993 S
5268734 Parker et al. Dec 1993 A
5317405 Kuriki et al. May 1994 A
5337363 Platt Aug 1994 A
5347363 Yamanaka Sep 1994 A
5351067 Lumelsky et al. Sep 1994 A
5359362 Lewis et al. Oct 1994 A
D357468 Rodd Apr 1995 S
5406326 Mowry Apr 1995 A
5423554 Davis Jun 1995 A
5446834 Deering Aug 1995 A
5448287 Hull Sep 1995 A
5467401 Nagamitsu et al. Nov 1995 A
5495576 Ritchey Feb 1996 A
5502481 Dentinger et al. Mar 1996 A
5502726 Fischer Mar 1996 A
5506604 Nally et al. Apr 1996 A
5532737 Braun Jul 1996 A
5541639 Takatsuki et al. Jul 1996 A
5541773 Kamo et al. Jul 1996 A
5570372 Shaffer Oct 1996 A
5572248 Allen et al. Nov 1996 A
5587726 Moffat Dec 1996 A
5612733 Flohr Mar 1997 A
5625410 Washino et al. Apr 1997 A
5666153 Copeland Sep 1997 A
5673401 Volk et al. Sep 1997 A
5675374 Kohda Oct 1997 A
5689663 Williams Nov 1997 A
5708787 Nakano et al. Jan 1998 A
5713033 Sado Jan 1998 A
5715377 Fukushima et al. Feb 1998 A
D391558 Marshall et al. Mar 1998 S
D391935 Sakaguchi et al. Mar 1998 S
D392269 Mason et al. Mar 1998 S
5729471 Jain et al. Mar 1998 A
5737011 Lukacs Apr 1998 A
5745116 Pisutha-Arnond Apr 1998 A
5748121 Romriell May 1998 A
D395292 Vu Jun 1998 S
5760826 Nayar Jun 1998 A
D396455 Bier Jul 1998 S
D396456 Bier Jul 1998 S
5790182 Hilaire Aug 1998 A
5796724 Rajamani et al. Aug 1998 A
D397687 Arora et al. Sep 1998 S
D398595 Baer et al. Sep 1998 S
5815196 Alshawi Sep 1998 A
D399501 Arora et al. Oct 1998 S
5818514 Duttweiler et al. Oct 1998 A
5821985 Iizawa Oct 1998 A
5825362 Retter Oct 1998 A
D406124 Newton et al. Feb 1999 S
5889499 Nally et al. Mar 1999 A
5894321 Downs et al. Apr 1999 A
D409243 Lonergan May 1999 S
D410447 Chang Jun 1999 S
5929857 Dinallo et al. Jul 1999 A
5940118 Van Schyndel Aug 1999 A
5940530 Fukushima et al. Aug 1999 A
5953052 McNelley et al. Sep 1999 A
5956100 Gorski Sep 1999 A
5996003 Namikata et al. Nov 1999 A
D419543 Warren et al. Jan 2000 S
D420995 Imamura et al. Feb 2000 S
6069648 Suso et al. May 2000 A
6069658 Watanabe May 2000 A
6088045 Lumelsky et al. Jul 2000 A
6097390 Marks Aug 2000 A
6097441 Allport Aug 2000 A
6101113 Paice Aug 2000 A
6124896 Kurashige Sep 2000 A
6137485 Kawai et al. Oct 2000 A
6148092 Qian Nov 2000 A
D435561 Pettigrew et al. Dec 2000 S
6167162 Jacquin et al. Dec 2000 A
6172703 Lee Jan 2001 B1
6173069 Daly et al. Jan 2001 B1
D438873 Wang et al. Mar 2001 S
D440575 Wang et al. Apr 2001 S
6211870 Foster Apr 2001 B1
6226035 Korein et al. May 2001 B1
6243130 McNelley et al. Jun 2001 B1
6249318 Girod et al. Jun 2001 B1
6256400 Takata et al. Jul 2001 B1
6259469 Ejima et al. Jul 2001 B1
6266082 Yonezawa et al. Jul 2001 B1
6266098 Cove et al. Jul 2001 B1
D446790 Wang et al. Aug 2001 S
6285392 Satoda et al. Sep 2001 B1
6292188 Carlson et al. Sep 2001 B1
6292575 Bortolussi et al. Sep 2001 B1
D450323 Moore et al. Nov 2001 S
D453167 Hasegawa et al. Jan 2002 S
D454574 Wasko et al. Mar 2002 S
6356589 Gebler et al. Mar 2002 B1
6380539 Edgar Apr 2002 B1
6396514 Kohno May 2002 B1
6424377 Driscoll, Jr. Jul 2002 B1
D461191 Hickey et al. Aug 2002 S
6430222 Okadia Aug 2002 B1
6459451 Driscoll et al. Oct 2002 B2
6462767 Obata et al. Oct 2002 B1
6493032 Wallerstein et al. Dec 2002 B1
D468322 Walker et al. Jan 2003 S
6507356 Jackel et al. Jan 2003 B1
D470153 Billmaier et al. Feb 2003 S
6515695 Sato et al. Feb 2003 B1
D474194 Kates et al. May 2003 S
6573904 Chun et al. Jun 2003 B1
6577333 Tai et al. Jun 2003 B2
6583808 Boulanger et al. Jun 2003 B2
6590603 Sheldon et al. Jul 2003 B2
6591314 Colbath Jul 2003 B1
6593955 Falcon Jul 2003 B1
6593956 Potts et al. Jul 2003 B1
D478090 Nguyen et al. Aug 2003 S
D478912 Johnson Aug 2003 S
6611281 Strubbe Aug 2003 B2
D482368 den Toonder et al. Nov 2003 S
6680856 Schreiber Jan 2004 B2
6693663 Harris Feb 2004 B1
6694094 Partynski et al. Feb 2004 B2
6704048 Malkin et al. Mar 2004 B1
6710797 McNelley et al. Mar 2004 B1
6751106 Zhang et al. Jun 2004 B2
D492692 Fallon et al. Jul 2004 S
6763226 McZeal Jul 2004 B1
6768722 Katseff et al. Jul 2004 B1
D494186 Johnson Aug 2004 S
6771303 Zhang et al. Aug 2004 B2
6774927 Cohen et al. Aug 2004 B1
D495715 Gildred Sep 2004 S
6795108 Jarboe et al. Sep 2004 B2
6795558 Matsuo et al. Sep 2004 B2
6798834 Murakami et al. Sep 2004 B1
6801637 Voronka et al. Oct 2004 B2
6806898 Toyama et al. Oct 2004 B1
6807280 Stroud et al. Oct 2004 B1
6809724 Shiraishi et al. Oct 2004 B1
6831653 Kehlet et al. Dec 2004 B2
6844990 Artonne et al. Jan 2005 B2
6850266 Trinca Feb 2005 B1
6853398 Malzbender et al. Feb 2005 B2
6867798 Wada et al. Mar 2005 B1
6882358 Schuster et al. Apr 2005 B1
6888358 Lechner et al. May 2005 B2
D506208 Jewitt et al. Jun 2005 S
6909438 White et al. Jun 2005 B1
6911995 Ivanov et al. Jun 2005 B2
6917271 Zhang et al. Jul 2005 B2
6922718 Chang Jul 2005 B2
6925613 Gibson Aug 2005 B2
6963653 Miles Nov 2005 B1
D512723 Wirz Dec 2005 S
6980526 Jang et al. Dec 2005 B2
6985178 Morita et al. Jan 2006 B1
6989754 Kisacanin et al. Jan 2006 B2
6989836 Ramsey Jan 2006 B2
6989856 Firestone et al. Jan 2006 B2
6990086 Holur et al. Jan 2006 B1
7002973 MeLampy et al. Feb 2006 B2
7023855 Haumont et al. Apr 2006 B2
7028092 MeLampy et al. Apr 2006 B2
7030890 Jouet et al. Apr 2006 B1
7031311 MeLampy et al. Apr 2006 B2
7036092 Sloo et al. Apr 2006 B2
D521521 Jewitt et al. May 2006 S
7043528 Schmitt et al. May 2006 B2
7046862 Ishizaka et al. May 2006 B2
D522559 Naito et al. Jun 2006 S
7057636 Cohen-Solal et al. Jun 2006 B1
7057662 Malzbender Jun 2006 B2
7058690 Maehiro Jun 2006 B2
7061896 Jabbari et al. Jun 2006 B2
D524321 Hally et al. Jul 2006 S
7072504 Miyano et al. Jul 2006 B2
7072833 Rajan Jul 2006 B2
7080157 McCanne Jul 2006 B2
7092002 Ferren et al. Aug 2006 B2
7095455 Jordan et al. Aug 2006 B2
7111045 Kato et al. Sep 2006 B2
7126627 Lewis et al. Oct 2006 B1
7131135 Virag et al. Oct 2006 B1
7136651 Kalavade Nov 2006 B2
7139767 Taylor et al. Nov 2006 B1
D533525 Arie Dec 2006 S
D533852 Ma Dec 2006 S
D534511 Maeda et al. Jan 2007 S
D535954 Hwang et al. Jan 2007 S
D536001 Armstrong et al. Jan 2007 S
7158674 Suh Jan 2007 B2
7161942 Chen et al. Jan 2007 B2
7164435 Wang et al. Jan 2007 B2
D536340 Jost et al. Feb 2007 S
D539243 Chiu et al. Mar 2007 S
7197008 Shabtay et al. Mar 2007 B1
D540336 Kim et al. Apr 2007 S
D541773 Chong et al. May 2007 S
D542247 Kinoshita et al. May 2007 S
7221260 Berezowski et al. May 2007 B2
D544494 Cummins Jun 2007 S
D545314 Kim Jun 2007 S
D547320 Kim et al. Jul 2007 S
7239338 Krisbergh et al. Jul 2007 B2
7246118 Chastain et al. Jul 2007 B2
D548742 Fletcher Aug 2007 S
7254785 Reed Aug 2007 B2
D550635 DeMaio et al. Sep 2007 S
D551184 Kanou et al. Sep 2007 S
D551672 Wirz Sep 2007 S
7269292 Steinberg Sep 2007 B2
7274555 Kim et al. Sep 2007 B2
D554664 Van Dongen et al. Nov 2007 S
D555610 Yang et al. Nov 2007 S
D559265 Armstrong et al. Jan 2008 S
D560225 Park et al. Jan 2008 S
D560681 Fletcher Jan 2008 S
D561130 Won et al. Feb 2008 S
7336299 Kostrzewski Feb 2008 B2
D563965 Van Dongen et al. Mar 2008 S
D564530 Kim et al. Mar 2008 S
D567202 Rieu Piquet Apr 2008 S
7352809 Wenger et al. Apr 2008 B2
7353279 Durvasula et al. Apr 2008 B2
7353462 Caffarelli Apr 2008 B2
7359731 Choksi Apr 2008 B2
7399095 Rondinelli Jul 2008 B2
D574392 Kwag et al. Aug 2008 S
7411975 Mohaban Aug 2008 B1
7413150 Hsu Aug 2008 B1
7428000 Cutler et al. Sep 2008 B2
D578496 Leonard Oct 2008 S
7440615 Gong et al. Oct 2008 B2
D580451 Steele et al. Nov 2008 S
7450134 Maynard et al. Nov 2008 B2
7471320 Malkin et al. Dec 2008 B2
D585453 Chen et al. Jan 2009 S
7477322 Hsieh Jan 2009 B2
7477657 Murphy et al. Jan 2009 B1
7480870 Anzures et al. Jan 2009 B2
D588560 Mellingen et al. Mar 2009 S
D589053 Steele et al. Mar 2009 S
7505036 Baldwin Mar 2009 B1
D591306 Setiawan et al. Apr 2009 S
7518051 Redmann Apr 2009 B2
D592621 Han May 2009 S
7529425 Kitamura et al. May 2009 B2
7532230 Culbertson et al. May 2009 B2
7532232 Shah et al. May 2009 B2
7534056 Cross et al. May 2009 B2
7545761 Kalbag Jun 2009 B1
7551432 Bockheim et al. Jun 2009 B1
7555141 Mori Jun 2009 B2
D595728 Scheibe et al. Jul 2009 S
D596646 Wani Jul 2009 S
7575537 Ellis Aug 2009 B2
7577246 Idan et al. Aug 2009 B2
D602033 Vu et al. Oct 2009 S
D602453 Ding et al. Oct 2009 S
D602495 Um et al. Oct 2009 S
7607101 Barrus Oct 2009 B1
7610352 AlHusseini et al. Oct 2009 B2
7610599 Nashida et al. Oct 2009 B1
7616226 Roessler et al. Nov 2009 B2
D608788 Meziere Jan 2010 S
7646419 Cernasov Jan 2010 B2
D610560 Chen Feb 2010 S
7661075 Lahdesmaki Feb 2010 B2
7664750 Frees et al. Feb 2010 B2
D612394 La et al. Mar 2010 S
7676763 Rummel Mar 2010 B2
7679639 Harrell et al. Mar 2010 B2
7692680 Graham Apr 2010 B2
7707247 Dunn et al. Apr 2010 B2
D615514 Mellingen et al. May 2010 S
7710448 De Beer et al. May 2010 B2
7710450 Dhuey et al. May 2010 B2
7714222 Taub et al. May 2010 B2
7715657 Lin et al. May 2010 B2
7716283 Thukral May 2010 B2
7719605 Hirasawa et al. May 2010 B2
7719662 Bamji et al. May 2010 B2
7720277 Hattori May 2010 B2
7725919 Thiagarajan et al. May 2010 B1
D617806 Christie et al. Jun 2010 S
D619608 Meziere Jul 2010 S
D619609 Meziere Jul 2010 S
D619610 Meziere Jul 2010 S
D619611 Meziere Jul 2010 S
7752568 Park et al. Jul 2010 B2
D621410 Verfuerth et al. Aug 2010 S
D626102 Buzzard et al. Oct 2010 S
D626103 Buzzard et al. Oct 2010 S
D628175 Desai et al. Nov 2010 S
7839434 Ciudad et al. Nov 2010 B2
D628968 Desai et al. Dec 2010 S
7855726 Ferren et al. Dec 2010 B2
7861189 Watanabe et al. Dec 2010 B2
D631891 Vance et al. Feb 2011 S
D632698 Judy et al. Feb 2011 S
7889851 Shah et al. Feb 2011 B2
7890888 Glasgow et al. Feb 2011 B2
7894531 Cetin et al. Feb 2011 B1
D634726 Harden et al. Mar 2011 S
D634753 Loretan et al. Mar 2011 S
D635569 Park Apr 2011 S
D635975 Seo et al. Apr 2011 S
7920158 Beck et al. Apr 2011 B1
D637199 Brinda May 2011 S
D638025 Saft et al. May 2011 S
D638850 Woods et al. May 2011 S
D638853 Brinda May 2011 S
7939959 Wagoner May 2011 B2
D640268 Jones et al. Jun 2011 S
D642184 Brouwers et al. Jul 2011 S
7990422 Ahiska et al. Aug 2011 B2
7996775 Cole et al. Aug 2011 B2
8000559 Kwon Aug 2011 B2
D646690 Thai et al. Oct 2011 S
D648734 Christie et al. Nov 2011 S
D649556 Judy et al. Nov 2011 S
8077857 Lambert Dec 2011 B1
8081346 Anup et al. Dec 2011 B1
8086076 Tian et al. Dec 2011 B2
D652050 Chaudhri Jan 2012 S
D652429 Steele et al. Jan 2012 S
D653245 Buzzard et al. Jan 2012 S
D654926 Lipman et al. Feb 2012 S
D655279 Buzzard et al. Mar 2012 S
D656513 Thai et al. Mar 2012 S
8130256 Trachtenberg et al. Mar 2012 B2
8132100 Seo et al. Mar 2012 B2
8135068 Alvarez Mar 2012 B1
D656948 Knudsen et al. Apr 2012 S
D660313 Williams et al. May 2012 S
8179419 Girish et al. May 2012 B2
8209632 Reid et al. Jun 2012 B2
8219404 Weinberg et al. Jul 2012 B2
8219920 Langoulant et al. Jul 2012 B2
D664985 Tanghe et al. Aug 2012 S
8259155 Marathe et al. Sep 2012 B2
D669086 Boyer et al. Oct 2012 S
D669088 Boyer et al. Oct 2012 S
D669913 Maggiotto et al. Oct 2012 S
8289363 Buckler Oct 2012 B2
8299979 Rambo et al. Oct 2012 B2
D670723 Khan et al. Nov 2012 S
D671136 Barnett et al. Nov 2012 S
D671141 Peters et al. Nov 2012 S
8315466 El-Maleh et al. Nov 2012 B2
8339499 Ohuchi Dec 2012 B2
8363719 Nakayama Jan 2013 B2
8436888 Baldino et al. May 2013 B1
20020047892 Gonsalves Apr 2002 A1
20020106120 Brandenburg et al. Aug 2002 A1
20020108125 Joao Aug 2002 A1
20020113827 Perlman et al. Aug 2002 A1
20020114392 Sekiguchi et al. Aug 2002 A1
20020118890 Rondinelli Aug 2002 A1
20020131608 Lobb et al. Sep 2002 A1
20020140804 Colmenarez et al. Oct 2002 A1
20020149672 Clapp et al. Oct 2002 A1
20020163538 Shteyn Nov 2002 A1
20020186528 Huang Dec 2002 A1
20020196737 Bullard Dec 2002 A1
20030017872 Oishi et al. Jan 2003 A1
20030048218 Milnes et al. Mar 2003 A1
20030071932 Tanigaki Apr 2003 A1
20030072460 Gonopolskiy et al. Apr 2003 A1
20030160861 Barlow et al. Aug 2003 A1
20030179285 Naito Sep 2003 A1
20030185303 Hall Oct 2003 A1
20030197687 Shetter Oct 2003 A1
20040003411 Nakai et al. Jan 2004 A1
20040032906 Lillig Feb 2004 A1
20040038169 Mandelkern et al. Feb 2004 A1
20040039778 Read et al. Feb 2004 A1
20040061787 Liu et al. Apr 2004 A1
20040091232 Appling, III May 2004 A1
20040118984 Kim et al. Jun 2004 A1
20040119814 Clisham et al. Jun 2004 A1
20040164858 Lin Aug 2004 A1
20040165060 McNelley et al. Aug 2004 A1
20040178955 Menache et al. Sep 2004 A1
20040189463 Wathen Sep 2004 A1
20040189676 Dischert Sep 2004 A1
20040196250 Mehrotra et al. Oct 2004 A1
20040207718 Boyden et al. Oct 2004 A1
20040218755 Marton et al. Nov 2004 A1
20040221243 Twerdahl et al. Nov 2004 A1
20040246962 Kopeikin et al. Dec 2004 A1
20040246972 Wang et al. Dec 2004 A1
20040254982 Hoffman et al. Dec 2004 A1
20040260796 Sundqvist et al. Dec 2004 A1
20050007954 Sreemanthula et al. Jan 2005 A1
20050022130 Fabritius Jan 2005 A1
20050024484 Leonard Feb 2005 A1
20050034084 Ohtsuki et al. Feb 2005 A1
20050039142 Jalon et al. Feb 2005 A1
20050050246 Lakkakorpi et al. Mar 2005 A1
20050081160 Wee et al. Apr 2005 A1
20050099492 Orr May 2005 A1
20050110867 Schulz May 2005 A1
20050117022 Marchant Jun 2005 A1
20050129325 Wu Jun 2005 A1
20050147257 Melchior et al. Jul 2005 A1
20050149872 Fong et al. Jul 2005 A1
20050154988 Proehl et al. Jul 2005 A1
20050223069 Cooperman et al. Oct 2005 A1
20050235209 Morita et al. Oct 2005 A1
20050248652 Firestone et al. Nov 2005 A1
20050251760 Sato et al. Nov 2005 A1
20050268823 Bakker et al. Dec 2005 A1
20060013495 Duan et al. Jan 2006 A1
20060017807 Lee et al. Jan 2006 A1
20060028983 Wright Feb 2006 A1
20060029084 Grayson Feb 2006 A1
20060038878 Takashima et al. Feb 2006 A1
20060048070 Taylor et al. Mar 2006 A1
20060066717 Miceli Mar 2006 A1
20060072813 Matsumoto et al. Apr 2006 A1
20060082643 Richards Apr 2006 A1
20060093128 Oxford May 2006 A1
20060100004 Kim et al. May 2006 A1
20060104297 Buyukkoc et al. May 2006 A1
20060104470 Akino May 2006 A1
20060120307 Sahashi Jun 2006 A1
20060120568 McConville et al. Jun 2006 A1
20060125691 Menache et al. Jun 2006 A1
20060126878 Takumai et al. Jun 2006 A1
20060126894 Mori Jun 2006 A1
20060152489 Sweetser et al. Jul 2006 A1
20060152575 Amiel et al. Jul 2006 A1
20060158509 Kenoyer et al. Jul 2006 A1
20060168302 Boskovic et al. Jul 2006 A1
20060170769 Zhou Aug 2006 A1
20060181607 McNelley et al. Aug 2006 A1
20060200518 Sinclair et al. Sep 2006 A1
20060233120 Eshel et al. Oct 2006 A1
20060256187 Sheldon et al. Nov 2006 A1
20060284786 Takano et al. Dec 2006 A1
20060289772 Johnson et al. Dec 2006 A1
20070019621 Perry et al. Jan 2007 A1
20070022388 Jennings Jan 2007 A1
20070039030 Romanowich et al. Feb 2007 A1
20070040903 Kawaguchi Feb 2007 A1
20070070177 Christensen Mar 2007 A1
20070074123 Omura et al. Mar 2007 A1
20070080845 Amand Apr 2007 A1
20070112966 Eftis et al. May 2007 A1
20070120971 Kennedy May 2007 A1
20070121353 Zhang et al. May 2007 A1
20070140337 Lim et al. Jun 2007 A1
20070153712 Fry et al. Jul 2007 A1
20070157119 Bishop Jul 2007 A1
20070159523 Hillis et al. Jul 2007 A1
20070162866 Matthews et al. Jul 2007 A1
20070183661 El-Maleh et al. Aug 2007 A1
20070188597 Kenoyer et al. Aug 2007 A1
20070189219 Navoli et al. Aug 2007 A1
20070192381 Padmanabhan Aug 2007 A1
20070206091 Dunn et al. Sep 2007 A1
20070206556 Yegani et al. Sep 2007 A1
20070206602 Halabi et al. Sep 2007 A1
20070211716 Oz et al. Sep 2007 A1
20070217406 Riedel et al. Sep 2007 A1
20070217500 Gao et al. Sep 2007 A1
20070229250 Recker et al. Oct 2007 A1
20070240073 McCarthy et al. Oct 2007 A1
20070247470 Dhuey et al. Oct 2007 A1
20070250567 Graham et al. Oct 2007 A1
20070250620 Shah et al. Oct 2007 A1
20070273752 Chambers et al. Nov 2007 A1
20070279483 Beers et al. Dec 2007 A1
20070279484 Derocher et al. Dec 2007 A1
20070285505 Korneliussen Dec 2007 A1
20080043041 Hedenstroem et al. Feb 2008 A2
20080044064 His Feb 2008 A1
20080046840 Melton et al. Feb 2008 A1
20080068446 Barkley et al. Mar 2008 A1
20080069444 Wilensky Mar 2008 A1
20080077390 Nagao Mar 2008 A1
20080077883 Kim et al. Mar 2008 A1
20080084429 Wissinger Apr 2008 A1
20080119211 Paas et al. May 2008 A1
20080134098 Hoglund et al. Jun 2008 A1
20080136896 Graham et al. Jun 2008 A1
20080148187 Miyata et al. Jun 2008 A1
20080151038 Khouri et al. Jun 2008 A1
20080153537 Khawand et al. Jun 2008 A1
20080167078 Elbye Jul 2008 A1
20080198755 Vasseur et al. Aug 2008 A1
20080208444 Ruckart Aug 2008 A1
20080212677 Chen et al. Sep 2008 A1
20080215974 Harrison et al. Sep 2008 A1
20080215993 Rossman Sep 2008 A1
20080218582 Buckler Sep 2008 A1
20080219268 Dennison Sep 2008 A1
20080232688 Senior et al. Sep 2008 A1
20080232692 Kaku Sep 2008 A1
20080240237 Tian et al. Oct 2008 A1
20080240571 Tian et al. Oct 2008 A1
20080246833 Yasui et al. Oct 2008 A1
20080256474 Chakra et al. Oct 2008 A1
20080261569 Britt et al. Oct 2008 A1
20080266380 Gorzynski et al. Oct 2008 A1
20080267282 Kalipatnapu et al. Oct 2008 A1
20080276184 Buffet et al. Nov 2008 A1
20080297586 Kurtz et al. Dec 2008 A1
20080298571 Kurtz et al. Dec 2008 A1
20080303901 Variyath et al. Dec 2008 A1
20090009593 Cameron et al. Jan 2009 A1
20090012633 Liu et al. Jan 2009 A1
20090037827 Bennetts Feb 2009 A1
20090051756 Trachtenberg Feb 2009 A1
20090079812 Crenshaw et al. Mar 2009 A1
20090115723 Henty May 2009 A1
20090119603 Stackpole May 2009 A1
20090122867 Mauchly et al. May 2009 A1
20090129753 Wagenlander May 2009 A1
20090172596 Yamashita Jul 2009 A1
20090174764 Chadha et al. Jul 2009 A1
20090183122 Webb et al. Jul 2009 A1
20090193345 Wensley et al. Jul 2009 A1
20090204538 Ley et al. Aug 2009 A1
20090207179 Huang et al. Aug 2009 A1
20090207233 Mauchly et al. Aug 2009 A1
20090207234 Chen et al. Aug 2009 A1
20090217199 Hara et al. Aug 2009 A1
20090228807 Lemay Sep 2009 A1
20090244257 MacDonald et al. Oct 2009 A1
20090256901 Mauchly et al. Oct 2009 A1
20090260060 Smith et al. Oct 2009 A1
20090265628 Bamford et al. Oct 2009 A1
20090279476 Li et al. Nov 2009 A1
20090324023 Tian et al. Dec 2009 A1
20100005419 Miichi et al. Jan 2010 A1
20100008373 Xiao et al. Jan 2010 A1
20100014530 Cutaia Jan 2010 A1
20100027907 Cherna et al. Feb 2010 A1
20100030389 Palmer et al. Feb 2010 A1
20100042281 Filla Feb 2010 A1
20100049542 Benjamin et al. Feb 2010 A1
20100079355 Kilpatrick et al. Apr 2010 A1
20100123770 Friel et al. May 2010 A1
20100149301 Lee et al. Jun 2010 A1
20100153853 Dawes et al. Jun 2010 A1
20100158387 Choi et al. Jun 2010 A1
20100171807 Tysso Jul 2010 A1
20100171808 Harrell et al. Jul 2010 A1
20100183199 Smith et al. Jul 2010 A1
20100199228 Latta et al. Aug 2010 A1
20100201823 Zhang et al. Aug 2010 A1
20100202285 Cohen et al. Aug 2010 A1
20100205281 Porter et al. Aug 2010 A1
20100205543 Von Werther et al. Aug 2010 A1
20100208078 Tian et al. Aug 2010 A1
20100241845 Alonso Sep 2010 A1
20100259619 Nicholson Oct 2010 A1
20100262367 Riggins et al. Oct 2010 A1
20100268843 Van Wie et al. Oct 2010 A1
20100277563 Gupta et al. Nov 2010 A1
20100306703 Bourganel et al. Dec 2010 A1
20100313148 Hochendoner et al. Dec 2010 A1
20100316232 Acero et al. Dec 2010 A1
20100325547 Keng et al. Dec 2010 A1
20100329511 Yoon et al. Dec 2010 A1
20110008017 Gausereide Jan 2011 A1
20110029868 Moran et al. Feb 2011 A1
20110032368 Pelling Feb 2011 A1
20110039506 Lindahl et al. Feb 2011 A1
20110063440 Neustaedter et al. Mar 2011 A1
20110063467 Tanaka Mar 2011 A1
20110082808 Beykpour et al. Apr 2011 A1
20110085016 Kristiansen et al. Apr 2011 A1
20110090303 Wu et al. Apr 2011 A1
20110105220 Hill et al. May 2011 A1
20110109642 Chang et al. May 2011 A1
20110113348 Twiss et al. May 2011 A1
20110164106 Kim Jul 2011 A1
20110193982 Kook et al. Aug 2011 A1
20110202878 Park et al. Aug 2011 A1
20110225534 Wala Sep 2011 A1
20110242266 Blackburn et al. Oct 2011 A1
20110249081 Kay et al. Oct 2011 A1
20110249086 Guo et al. Oct 2011 A1
20110276901 Zambetti et al. Nov 2011 A1
20110279627 Shyu Nov 2011 A1
20110319885 Skwarek et al. Dec 2011 A1
20120026278 Goodman et al. Feb 2012 A1
20120038742 Robinson et al. Feb 2012 A1
20120106428 Schlicht et al. May 2012 A1
20120143605 Thorsen et al. Jun 2012 A1
20120169838 Sekine Jul 2012 A1
20120226997 Pang Sep 2012 A1
20120266082 Webber Oct 2012 A1
20120297342 Jang et al. Nov 2012 A1
20120327173 Couse et al. Dec 2012 A1
Foreign Referenced Citations (47)
Number Date Country
101953158 Jan 2011 CN
102067593 May 2011 CN
502600 Sep 1992 EP
0 650 299 Oct 1994 EP
0 714 081 Nov 1995 EP
0 740 177 Apr 1996 EP
1143745 Oct 2001 EP
1 178 352 Jun 2002 EP
1 589 758 Oct 2005 EP
1701308 Sep 2006 EP
1768058 Mar 2007 EP
2073543 Jun 2009 EP
2255531 Dec 2010 EP
22777308 Jan 2011 EP
2 294 605 May 1996 GB
2336266 Oct 1999 GB
2 355 876 May 2001 GB
WO 9416517 Jul 1994 WO
WO 9621321 Jul 1996 WO
WO 9708896 Mar 1997 WO
WO 9847291 Oct 1998 WO
WO 9959026 Nov 1999 WO
WO 0133840 May 2001 WO
WO 2005013001 Feb 2005 WO
WO 2005031001 Feb 2005 WO
WO2006072755 Jul 2006 WO
WO2007106157 Sep 2007 WO
WO2007123946 Nov 2007 WO
WO 2007123960 Nov 2007 WO
WO 2007123960 Nov 2007 WO
WO2008039371 Apr 2008 WO
WO 2008040258 Apr 2008 WO
WO 2008101117 Aug 2008 WO
WO 2008118887 Oct 2008 WO
WO 2008118887 Oct 2008 WO
WO 2009102503 Aug 2009 WO
WO 2009102503 Aug 2009 WO
WO 2009120814 Oct 2009 WO
WO 2009120814 Oct 2009 WO
WO 2010059481 May 2010 WO
WO2010096342 Aug 2010 WO
WO 2010104765 Sep 2010 WO
WO 2010132271 Nov 2010 WO
WO2012033716 Mar 2012 WO
WO2012068008 May 2012 WO
WO2012068010 May 2012 WO
WO2012068485 May 2012 WO
Non-Patent Literature Citations (270)
Entry
Miller, Gregor, et al., “Interactive Free-Viewpoint Video,” Centre for Vision, Speech and Signal Processing, [retrieved and printed on Feb. 26, 2009], http://www.ee.surrey.ac.uk/CVSSP/VMRG/ Publications/miller05cvmp.pdf, 10 pages.
Minoru from Novo is the worlds first consumer 3D Webcam, Dec. 11, 2008; http://www.minoru3d.com; 4 pages.
Mitsubishi Electric Research Laboratories, copyright 2009 [retrieved and printed on Feb. 26, 2009], http://www.merl.com/projects/3dtv, 2 pages.
National Training Systems Association Home—Main, Interservice/Industry Training, Simulation & Education Conference, Dec. 1-4, 2008; http://ntsa.metapress.com/app/home/main.asp?referrer=default; 1 page.
Oh, Hwang-Seok, et al., “Block-Matching Algorithm Based on Dynamic Search Window Adjustment,” Dept. of CS, KAIST, 1997, 6 pages; http://citeseerx.ist.psu.edu/viewdoc/similar?doi=10.1.1.29.8621&type=ab.
Opera Over Cisco TelePresence at Cisco Expo 2009, in Hannover Germany—Apr. 28, 29, posted on YouTube on May 5, 2009; http://www.youtube.com/watch?v=xN5jNH5E-38; 1 page.
OptoIQ, “Vision + Automation Products—VideometerLab 2,” [retrieved and printed on Mar. 18, 2010], http://www.optoiq.com/optoiq-2/en-us/index/machine-vision-imaging-processing/display/vsd-articles-tools-template.articles.vision-systems-design.volume-11.issue-10.departments.new-products.vision-automation-products.htmlhtml; 11 pages.
OptoIQ, “Anti-Speckle Techniques Uses Dynamic Optics,” Jun. 1, 2009; http://www.optoiq.com/index/photonics-technologies-applications/lfw-display/lfw-article-display/363444/articles/optoiq2/photonics-technologies/technology-products/optical-components/optical-mems/2009/12/anti-speckle-technique-uses-dynamic-optics/QP129867/cmpid=EnIOptoLFWJanuary132010.html; 2 pages.
OptoIQ, “Smart Camera Supports Multiple Interfaces,” Jan. 22, 2009; http://www.optoiq.com/index/machine-vision-imaging-processing/display/vsd-article-display/350639/articles/vision-systems-design/daily-product-2/2009/01/smart-camera-supports-multiple-interfaces.html; 2 pages.
OptoIQ, “Vision Systems Design—Machine Vision and Image Processing Technology,” [retrieved and printed on Mar. 18, 2010], http://www.optoiq.com/index/machine-vision-imaging-processing.html; 2 pages.
Payatagool, Chris, “Orchestral Manoeuvres in the Light of Telepresence,” Telepresence Options, Nov. 12, 2008; http://www.telepresenceoptions.com/2008/11/orchestral—manoeuvres; 2 pages.
PCT International Preliminary Report on Patentability mailed Aug. 26, 2010 for PCT/US2009/001070; 10 pages.
PCT International Preliminary Report on Patentability mailed Oct. 7, 2010 for PCT/US2009/038310; 10 pages.
PCT International Report of Patentability mailed May 15, 2006, for PCT International Application PCT/US2004/021585, 6 pages.
PCT Notification of Transmittal of the International Search Report and the Written Opinion of the International Searching Authority, or the Declaration, PCT Application No. PCT/US2009/064061 mailed Feb. 23, 2010; 14 pages.
Pixel Tools “Rate Control and H.264: H.264 rate control algorithm dynamically adjusts encoder parameters,” [retrieved and printed on Jun. 10, 2010] ; 7 pages. http://www.pixeltools.om/rate—control—paper.html.
Radhika, N., et al., “Mobile Dynamic reconfigurable Context aware middleware for Adhoc smart spaces,” vol. 22, 2008, 3 pages http://www.acadjournal.com/2008/V22/part6/p7.
Rayvel Business-to-Business Products, copyright 2004 [retrieved and printed on Feb. 24, 2009], http://www.rayvel.com/b2b.html; 2 pages.
Richardson, I.E.G., et al., “Fast H.264 Skip Mode Selection Using and Estimation Framework,” Picture Coding Symposium, (Beijing, China), Apr. 2006; www.rgu.ac.uk/files/richardson—fast—skip—estmation—pcs06.pdf; 6 pages.
Richardson, Iain, et al., “Video Encoder Complexity Reduction by Estimating Skip Mode Distortion,” Image Communication Technology Group; [Retrieved and printed Oct. 21, 2010] 4 pages; http://www4.rgu.ac.uk/files/ICIP04—richardson—zhao—final.pdf.
Robust Face Localisation Using Motion., Colour & Fusion; Proc. VIIth Digital Image Computing: Techniques and Applications, Sun C. et al (Eds.), Sydney; XP007905630; pp. 899-908; Dec. 10, 2003; http://www.cmis.csiro.au/Hugues.Talbot/dicta2003/cdrom/pdf/0899.pdf.
Satoh, Kiyohide et al., “Passive Depth Acquisition for 3D Image Displays”, IEICE Transactions on Information and Systems, Information Systems Society, Tokyo, JP, Sep. 1, 1994, vol. E77-D, No. 9, pp. 949-957.
School of Computing, “Bluetooth over IP for Mobile Phones,” 2005; http://www.computing.dcu.ie/wwwadmin/fyp-abstract/list/fyp—details05.jsp?year=2005&number=51470574; 1 page.
Schroeder, Erica, “The Next Top Model—Collaboration,” Collaboration, The Workspace: A New World of Communications and Collaboration, Mar. 9, 2009; http//blogs.cisco.com/collaboration/comments/the—next—top—model; 3 pages.
SENA, “Industrial Bluetooth,” [retrieved and printed on Apr. 22, 2009] http://www.sena.com/products/industrial—bluetooth; 1 page.
Shaffer, Shmuel, “Translation—State of the Art” presentation; Jan. 15, 2009; 22 pages.
Shi, C. et al., “Automatic Image Quality Improvement for Videoconferencing,” IEEE ICASSP May 2004; http://research.microsoft.com/pubs/69079/0300701.pdf; 4 pages.
Shum, H.-Y, et al., “A Review of Image-Based Rendering Techniques,” in SPIE Proceedings vol. 4067(3); Proceedings of the Conference on Visual Communications and Image Processing 2000, Jun. 20-23, 2000, Perth, Australia; pp. 2-13; https://research.microsoft.com/pubs/68826/review—image—rendering.pdf.
Smarthome, “IR Extender Expands Your IR Capabilities,” [retrieved and printed on Apr. 22, 2009], http://www.smarthome.com/8121.html; 3 pages.
Sonoma Wireworks Forums, “Jammin on Rifflink,” [retrieved and printed on May 27, 2010] http://www.sonomawireworks.com/forums/viewtopic.php?id=2659; 5 pages.
Sonoma Wireworks Rifflink, [retrieved and printed on Jun. 2, 2010] http://www.sonomawireworks.com/rifflink.php; 3 pages.
Soohuan, Kim, et al., “Block-based face detection scheme using face color and motion estimation,” Real-Time Imaging VIII; Jan. 20-22, 2004, San Jose, CA; vol. 5297, No. 1; Proceedings of the SPIE—The International Society for Optical Engineering SPIE—Int. Soc. Opt. Eng USA ISSN: 0277-786X; XP007905596; pp. 78-88.
Sullivan, Gary J., et al., “Video Compression—From Concepts to the H.264/AVC Standard,” Proceedings IEEE, vol. 93, No. 1, Jan. 2005; http://ip.hhi.de/imagecom—G1/assets/pdfs/pieee—sullivan—wiegand—2005.pdf; 14 pages.
Sun, X., et al., “Region of Interest Extraction and Virtual Camera Control Based on Panoramic Video Capturing,” IEEE Trans. Multimedia, Oct. 27, 2003; http://vision.ece.ucsb.edu/publications/04mmXdsun.pdf; 14 pages.
Super Home Inspectors or Super Inspectors, [retrieved and printed on Mar. 18, 2010] http://www.umrt.com/PageManager/Default.aspx/PageID=2120325; 3 pages.
Total immersion, Video Gallery, copyright 2008-2009 [retrieved and printed on Feb. 26, 2009], http://www.t-immersion.com/en,video-gallery,36.html, 1 page.
Trucco, E., et al., “Real-Time Disparity Maps for Immersive 3-D Teleconferencing by Hybrid Recursive Matching and Census Transform,” [retrieved and printed on May 4, 2010] http://server.cs.ucf.edu/˜vision/papers/VidReg-final.pdf; 9 pages.
Tsapatsoulis, N., et al., “Face Detection for Multimedia Applications,” Proceedings of the ICIP Sep. 10-13, 2000, Vancouver, BC, Canada; vol. 2, pp. 247-250.
Tsapatsoulis, N., et al., “Face Detection in Color Images and Video Sequences,” 10th Mediterranean Electrotechnical Conference (MELECON), May 29-31, 2000; vol. 2; pp. 498-502.
Wang, Hualu, et al., “A Highly Efficient System for Automatic Face Region Detection inMPEG Video,” IEEE Transactions on Circuits and Systems for Video Technology; vol. 7, Issue 4; 1977 pp. 615-628.
Westerink, P.H., et al., “Two-pass MPEG-2 variable-bitrate encoding,” IBM Journal of Research and Development, Jul. 1991, vol. 43, No. 4; http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.128.421; 18 pages.
Wiegand, T., et al., “Efficient mode selection for block-based motion compensated video coding,” Proceedings, 2005 International Conference on Image Processing IIP 2005, pp. 2559-2562; citeseer.ist.psu.edu/wiegand95efficient.html.
Wiegand, T., et al., “Rate-distortion optimized mode selection for very low bit rate video coding and the emerging H.263 standard,” IEEE Trans. Circuits Syst. Video Technol., Apr. 1996, vol. 6, No. 2, pp. 182-190.
“Wi-Fi Protected Setup,” from Wikipedia, Sep. 2, 2010, 3 pages http://en.wikipedia.org/wiki/Wi-Fi—Protected—Setup.
U.S. Appl. No. 12/877,833, filed Sep. 8, 2010, entitled “System and Method for Skip Coding During Video Conferencing in a Network Environment Environment,” Inventor[s]: Dihong Tian et al.
U.S. Appl. No. 12/907,914, filed Oct. 19, 2010, entitled “System and Method for Providing Videomail in a Network Environment,” Inventor[s]: David J. Mackie et al.
U.S. Appl. No. 12/907,919, filed Oct. 19, 2010, entitled “System and Method for Providing Connectivity in a Network Environment,” Inventor[s]: David J. Mackie et al.
U.S. Appl. No. 12/907,927, filed Oct. 19, 2010, entitled “System and Method for Providing a Paring Mechanism in a Video Environment,” Inventor[s]: Gangfeng Kong et al.
Andersson, L., et al, “LDP Specification,” Network Working Group, RFC 3036, Jan. 2001, 133 pages; http://tools.ietf.org/html/rfc3036.
Arrington, Michael, “eJamming—Distributed Jamming,” TechCrunch; Mar. 16, 2006; http://www.techcrunch.com/2006/03/16/ejamming-distributed-jamming/; 1 page.
Avrithis, Y., et al., “Color-Based Retrieval of Facial Images,” European Signal Processing Conference (EUSIPCO '00), Tampere, Finland; Sep. 2000; http://www.image.ece.ntua.gr/˜ntsap/presentations/eusipco00.ppt#256; 18 pages.
Bakstein, Hynek, et al., “Visual Fidelity of Image Based Rendering,” Center for Machine Perception, Czech Technical University, Proceedings of the Computer Vision, Winter 2004, http://www.benogo.dk/publications/Bakstein-Pajdla-CVWW04.pdf; 10 pages.
Beesley, S.T.C., et al., “Active Macroblock Skipping in the H.264 Video Coding Standard,” in Proceedings of 2005 Conference on Visualization, Imaging, and Image Processing—VIIP 2005, Sep. 7-9, 2005, Benidorm, Spain, Paper 480-261. ACTA Press, ISBN: 0-88986-528-0; 5 pages.
Boccaccio, Jeff; CEPro, “Inside HDMI CEC: The Little-Known Control Feature,” Dec. 28, 2007; http://www.cepro.com/ article/print/inside—hdmi—cec—the—little—known—control—feature; 2 pages.
Bücken R: “Bildfernsprechen: Videokonferenz vom Arbeitsplatz aus” Funkschau, Weka Fachzeitschriften Verlag, Poing, DE, No. 17, Aug. 14, 1986, pp. 41-43, XP002537729; ISSN: 0016-2841, p. 43, left-hand column, line 34-middle column, line 24.
Chan, Eric, et al., “Experiments on block-matching techniques for video coding,” Multimedia Systems; 9 Springer-Verlag 1994, Multimedia Systems (1994) 2 pp. 228-241.
Chen et al., “Toward a Compelling Sensation of Telepresence: Demonstrating a Portal to a Distant (Static) Office,” Proceedings Visualization 2000; VIS 2000; Salt Lake City, UT, Oct. 8-13, 2000; Annual IEEE Conference on Visualization, Los Alamitos, CA; IEEE Comp. Soc. US, Jan. 1, 2000, pp. 327-333; http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.35.1287.
Chen, Jason, “iBluetooth Lets iPhone Users Send and Receive Files Over Bluetooth,” Mar. 13, 2009; http://i.gizmodo.com/5169545/ibluetooth-lets-iphone-users-send-and-receive-files-over-bluetooth; 1 page.
“Cisco Expo Germany 2009 Opening,” Posted on YouTube on May 4, 2009; http://www.youtube.com/watch?v=SDKsaSlz4MK; 2 pages.
Cisco: Bill Mauchly and Mod Marathe; UNC: Henry Fuchs, et al., “Depth-Dependent Perspective Rendering,” Apr. 15, 2008; 6 pages.
Costa, Cristina, et al., “Quality Evaluation and Nonuniform Compression of Geometrically Distorted Images Using the Quadtree Distorion Map,” EURASIP Journal on Applied Signal Processing, Jan. 7, 2004, vol. 2004, No. 12; © 2004 Hindawi Publishing Corp.; XP002536356; ISSN: 1110-8657; pp. 1899-1911; http://downloads.hindawi.com/journals/asp/2004/470826.pdf.
Criminisi, A., et al., “Efficient Dense-Stereo and Novel-view Synthesis for Gaze Manipulation in One-to-one Teleconferencing,” Technical Rpt MSR-TR-2003-59, Sep. 2003 [retrieved and printed on Feb. 26, 2009], http://research.microsoft.com/pubs/67266/ criminis—techrep2003-59.pdf, 41 pages.
Daly, S., et al., “Face-based visually-optimized image sequence coding,” Image Processing, 1998. ICIP 98. Proceedings; 1998 International Conference on Chicago, IL; Oct. 4-7, 1998, Los Alamitos; IEEE Computing; vol. 3, Oct. 4, 1998; ISBN: 978-0-8186-8821-8; XP010586786; pp. 443-447.
Diaz, Jesus, “Zcam 3D Camera is Like Wii Without Wiimote and Minority Report Without Gloves,” Dec. 15, 2007; http://gizmodo.com/gadgets/zcam-depth-camera-could-be-wii-challenger/zcam-3d-camera-is-like-wii-without-wiimote-and-minority-report-without-gloves-334426.php; 3pages.
Diaz, Jesus, iPhone Biuetooth File Transfer Coming Soon (YES!); Jan. 26, 2009; http://i.gizmodo.com/5138797/iphone-bluetooth-file-transfer-coming-soon-yes; 1page.
DVE Digital Video Enterprises, “DVE Tele-Immersion Room,” [retrieved and printed on Feb. 5, 2009] http://www.dvetelepresence.com/products/immersion—room.asp; 2 pages.
“Dynamic Displays,” copyright 2005-2008 [retrieved and printed on Feb. 24, 2009] http://www.zebraimaging.com/html/lighting—display.html, 2 pages.
ECmag.com, “IBS Products,” Published Apr. 2009; http://www.ecmag.com/index.cfm?fa=article&articleID=10065; 2 pages.
eJamming Audio, Learn More; [retrieved and printed on May 27, 2010] http://www.ejamming.com/learnmore/; 4 pages.
Electrophysics Glossary, “Infrared Cameras, Thermal Imaging, Night Vision, Roof Moisture Detection,” [retrieved and printed on Mar. 18, 2010] http://www.electrophysics.com/Browse/Brw—Glossary.asp; 11 pages.
Farrukh, A., et al., Automated Segmentation of Skin-Tone Regions in Video Sequences, Proceedings IEEE Students Conference, ISCON—apos—02; Aug. 16-17, 2002; pp. 122-128.
Fiala, Mark, “Automatic Projector Calibration Using Self-Identifying Patterns,” National Research Council of Canada, Jun. 20-26, 2005; http://www.procams.org/ procams2005/papers/procams05-36.pdf; 6 pages.
Foote, J. et al., “Flycam: Practical Panoramic Video and Automatic Camera Control,” in Proceedings of IEEE International Conference on Multimedia and Expo, vol. III, Jul. 30, 2000; pp. 1419-1422; http://citeseerx.ist.psu.edu/viewdoc/versions?doi=10.1.1.138.8686.
“France Telecom's Magic Telepresence Wall,” Jul. 11, 2006; http://www.humanproductivitylab.com/archive—blogs/2006/07/11/france—telecoms—magic—telepres—1.php; 4 pages.
Freeman, Professor Wilson T., Computer Vision Lecture Slides, “6.869 Advances in Computer Vision: Learning and Interfaces,” Spring 2005; 21 pages.
Gemmell, Jim, et al., “Gaze Awareness for Video-conferencing: A Software Approach,” IEEE MultiMedia, Oct.-Dec. 2000; vol. 7, No. 4, pp. 25-35.
Gotchev, Atanas, “Computer Technologies for 3D Video Delivery for Home Entertainment,” Internationai Conference on Computer Systems and Technologies; CompSysTech, Jun. 12-13, 2008; http://ecet.ecs.ru.acad.bg/cst08/docs/cp/Plenary/P.1.pdf; 6 pages.
Gries, Dan, “3D Particles Experiments in AS3 and Flash CS3, Dan's Comments,” [retrieved and printed on May 24, 2010] http://www.flashandmath.com/advanced/fourparticles/notes.html; 3 pages.
Guernsey, Lisa, “Toward Better Communication Across the Language Barrier,” Jul. 29, 1999; http://www.nytimes.com/1999/07/29/technology/toward-better-communication-across-the-language-barrier.html; 2 pages.
Guili, D., et al., “Orchestral: A Distributed Platform for Virtual Musical Groups and Music Distance Learning over the Internet in JavaTM Technology”; [retrieved and printed on Jun. 6, 2010] http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=778626; 2 pages.
Habill, Nariman, et al., “Segmentation of the Face and Hands in Sign Language Video Sequences Using Color and Motion Cues” IEEE Transaction on Circuits and Systems for Video Technology, IEEE Service Center, vol. 14, No. 8, Aug. 1, 2004; ISSN: 1051-8215; XP011115755; pp. 1086-1097.
He, L., et al., “The Virtual Cinematographer: A Paradigm for Automatic Real-Time Camera Control and Directing,” Proc. SIGGRAPH, © 1996; http://research.microsoft.com/en-us/um/people/lhe/papers/siggraph96.vc.pdf; 8 pages.
Holographic imaging, “Dynamic Holography for scientific uses, military heads up display and even someday HoloTV Using TI's DMD,” [retrieved and printed on Feb. 26, 2009] http://innovation.swmed.edu/ research/instrumentation/res—inst—dev3d.html; 5 pages.
Hornbeck, Larry J., “Digital Light ProcessingTM: A New MEMS-Based Display Technology,” [retrieved and printed on Feb. 26, 2009] http://focus.ti.com/pdfs/dlpdmd/17—Digital—Light—Processing—MEMS—display—technology.pdf; 22 pages.
Infrared Cameras TVS-200-EX, [retrieved and printed on May 24, 2010] http://www.electrophysics.com/Browse/Brw—ProductLineCategory.asp?CategoryID=184&Area=IS; 2 pages.
IR Distribution Category @ Envious Technology, “IR Distribution Category,” [retrieved and printed on Apr. 22, 2009] http://www.envioustechnology.com.au/ products/product-list.php?CID=305; 2 pages.
IR Trans—Products and Orders—Ethernet Devices, [retrieved and printed on Apr. 22, 2009] http://www.irtrans.de/en/shop/Ian.php; 2 pages.
Isgro, Francesco et al., “Three-Dimensional Image Processing in the Future of Immersive Media,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 14, No. 3; XP011108796; ISSN: 1051-8215; Mar. 1, 2004; pp. 288-303.
Itoh, Hiroyasu, et al., “Use of a gain modulating framing camera for time-resolved imaging of ceiluiar phenomena,” SPIE vol. 2979, 1997, pp. 733-740.
Jiang, Minqiang, et al., “On Lagrange Multiplier and Quantizer Adjustment for H.264 Frame-layer Video Rate Control,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 16, Issue 5, May 2006, pp. 663-669.
Kannangara, C.S., et al., “Complexity Reduction of H.264 Using Lagrange Multiplier Methods,” IEEE Int. Conf. on Visual Information Engineering, Apr. 2005; www.rgu.ac.uk/files/h264—complexity—kannangara.pdf; 6 pages.
Kannangara, C.S., et al., “Low Complexity Skip Prediction for H.264 through Langrangian Cost Estimation,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 16, No. 2, Feb. 2006; www.rgu.ac.uk/files/h264—skippredict—richardson—final.pdf; 20 pages.
U.S. Appl. No. 12/781,722, filed May 17, 2010, entitled “System and Method for Providing Retracting Optics in a Video Conferencing Environment,” Inventor(s): Joseph T. Friel, et al.
U.S. Appl. No. 12/912,556, filed Oct. 26, 2010, entitled “System and Method for Provisioning Flows in a Mobile Network Environment,” Inventors: Balaji Vankat Vankataswami, et al.
U.S. Appl. No. 12/949,614, filed Nov. 18, 2010, entitled “System and Method for Managing Optics in a Video Environment,” Inventors: Torence Lu, et al.
U.S. Appl. No. 12/946,679, filed Nov. 15, 2010, entitled “System and Method for Providing Camera Functions in a Video Environment,” Inventors: Peter A.J. Fornell, et al.
U.S. Appl. No. 12/946,695, filed Nov. 15, 2010, entitled “System and Method for Providing Enhanced Audio in a Video Environment,” Inventors: Wei Li, et al.
U.S. Appl. No. 12/950,786, filed Nov. 19, 2010, entitled “System and Method for Providing Enhanced Video Processing in a Network Environment,” Inventor[s]: David J. Mackie.
U.S. Appl. No. 12/946,704, filed Nov. 15, 2010, entitled “System and Method for Providing Enhanced Graphics in a Video Environment.” Inventors: John M. Kanalakis, Jr., et al.
U.S. Appl. No. 12/957,116, filed Nov. 30, 2010, entitled “System and Method for Gesture Interface Control,” Inventors: Shuan K. Kirby, et al.
U.S. Appl. No. 13/036,925, filed Feb. 28, 2011 ,entitled “System and Method for Selection of Video Data in a Video Conference Environment,” Inventor(s) Sylvia Olayinka Aya Manfa N'guessan.
U.S. Appl. No. 12/939,037, filed Nov. 3, 2010, entitled “System and Method for Managing Flows in a Mobile Network Environment,” Inventors; Balaji Venkat Venkataswami et al.
U.S. Appl. No. 12/946,709, filed Nov. 15, 2010, entitled “System and Method for Providing Enhanced Graphics in a Video Environment,” Inventors: John M. Kanalakis, Jr., et al.
Design U.S. Appl. No. 29/375,624, filed Sep. 24, 2010, entitled “Mounted Video Unit,” Inventor(s): Ashok T. Desai et al.
Design U.S. Appl. No. 29/375,627, filed Sep. 24, 2010, entitled “Mounted Video Unit,” Inventor(s): Ashok T. Desai et al.
Design U.S. Appl. No. 29/369,951, filed Sep. 15, 2010, entitled “Video Unit With Integrated Features,” Inventor(s): Kyle A. Buzzard et al.
Design U.S. Appl. No. 29/375,458, filed Sep. 22, 2010, entitled “Video Unit With Integrated Features,” Inventor(s): Kyle A. Buzzard et al.
Design U.S. Appl. No. 29/375,619, filed Sep. 24, 2010, entitled “Free-Standing Video Unit,” Inventor(s): Ashok T. Desai et al.
Design U.S. Appl. No. 29/381,245, filed Dec. 16, 2010, entitled “Interface Element,” Inventor(s): John M. Kanalakis, Jr., et al.
Design U.S. Appl. No. 29/381,250, filed Dec. 16, 2010, entitled “Interface Element,” Inventor(s): John M. Kanalakis, Jr., et al.
Design U.S. Appl. No. 29/381,254, filed Dec. 16, 2010, entitled “Interface Element,” Inventor(s): John M. Kanalakis, Jr., et al.
Design U.S. Appl. No. 29/381,256, filed Dec. 16, 2010, entitled “Interface Element,” Inventor(s): John M. Kanalakis, Jr., et al.
Design U.S. Appl. No. 29/381,259, filed Dec. 16, 2010, entitled “Interface Element,” Inventor(s): John M. Kanalakis, Jr., et al.
Design U.S. Appl. No. 29/381,260, filed Dec. 16, 2010, entitled “Interface Element,” Inventor(s): John M. Kanalakis, Jr., et al.
Design U.S. Appl. No. 29/381,262, filed Dec. 16, 2010, entitled “Interface Element,” Inventor(s): John M. Kanalakis, Jr., et al.
Design U.S. Appl. No. 29/381,264, filed Dec. 16, 2010, entitled “Interface Element,” Inventor(s): John M. Konalakis, Jr., et al.
U.S. Appl. No. 13/096,772, filed Apr. 28, 2011, entitled “System and Method for Providing Enhanced Eye Gaze in a Video Conferencing Environment,” Inventor(s): Charles C. Byers.
U.S. Appl. No. 13/106,002, filed May 12, 2011, entitled “System and Method for Video Coding in a Dynamic Environment,” Inventors: Dihong Tian et al.
U.S. Appl. No. 13/098,430, filed Apr. 30, 2011, entitled “System and Method for Transferring Transparency Information in a Video Environment,” Inventors: Eddie Collins et al.
U.S. Appl. No. 13/096,795, filed Apr. 28, 2011, entitled “System and Method for Providing Enhanced Eye Gaze in a Video Conferencing Environment,” Inventors: Charles C. Byers.
U.S. Appl. No. 13/298,022, filed Nov. 16, 2011, entitled “System and Method for Alerting a Participant in a Video Conference,” Inventor(s): TiongHu Lian, et al.
Kauff, Peter, et al., “An Immersive 3D Video-Conferencing System Using Shared Virtual Team User Environments,” Proceedings of the 4th International Conference on Collaborative Virtual Environments, XP040139458; Sep. 30, 2002; http://ip.hhi.de/imedia—G3/assets/pdfs/CVE02.pdf; 8 pages.
Kazutake, Uehira, “Simulation of 3D image depth perception in a 3D display using two stereoscopic displays at different depths,” Jan. 30, 2006; http://adsabs.harvard.edu/abs/2006SPIE.6055.408U; 2 pages.
Keijser, Jeroen, et al., “Exploring 3D Interaction in Alternate Control-Display Space Mappings,” IEEE Symposium on 3D User Interfaces, Mar. 10-11, 2007, pp. 17-24.
Kim, Y.H., et al., “Adaptive mode decision for H.264 encoder,” Electronics letters, vol. 40, Issue 19, pp. 1172-1173, Sep. 2004; 2 pages.
Klint, Josh, “Deferred Rendering in Leadwerks Engine,” Copyright Leadwerks Corporation © 2008; http://www.leadwerks.com/files/Deferred—Rendering—in—Leadwerks—Engine.pdf; 10 pages.
Koyama, S., et al. “A Day and Night Vision MOS Imager with Robust Photonic-Crystal-Based RGB-and-IR,” Mar. 2008, pp. 754-759; ISSN: 0018-9383; IEE Transactions on Electron Devices, vol. 55, No. 3; http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4455782&isnumber=4455723.
Lawson, S., “Cisco Plans TelePresence Translation Next Year,” Dec. 9, 2008; http://www.pcworld.com/ article/155237/.html?tk=rss—news; 2 pages.
Lee, J. and Jeon, B., “Fast Mode Decision for H.264,” ISO/IEC MPEG and ITU-T VCEG Joint Video Team, Doc. JVT-J033, Dec. 2003; http://media.skku.ac.kr/publications/paper/IntC/ljy—ICME2004.pdf; 4 pages.
Liu, Z., “Head-Size Equalization for Better Visual Perception of Video Conferencing,” Proceedings, IEEEInternational Conference on Multimedia & Expo (ICME2005), Jul. 6-8, 2005, Amsterdam, The Netherlands; http://research.microsoft.com/users/cohen/HeadSizeEqualizationICME2005.pdf; 4 pages.
Mann, S., et al., “Virtual Bellows: Constructing High Quality Still from Video,” Proceedings, First IEEE International Conference on Image Processing ICIP-94, Nov. 13-16, 1994, Austin, TX; http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.50.8405; 5 pages.
Chen, Qing, et al., “Real-time Vision-based Hand Gesture Recognition Using Haar-like Features,” Instrumentation and Measurement Technology Conference, Warsaw, Poland, May 1-3, 2007, 6 pages; http://www.google.com/url?sa=t&source=web&cd=1&ved=0CB4QFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.93.103%26rep%3Drep1%26type%3Dpdf&ei=A28RTLKRDeftnQeXzZGRAw&usg=AFQjCNHpwj5MwjgGp-3goVzSWad6CO-Jzw.
Chien et al., “Efficient moving Object Segmentation Algorithm Using Background Registration Technique,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 12, No. 7, Jul. 2002, 10 pages.
Cumming, Jonathan, “Session Border Control in IMS, An Analysis of the Requirements for Session Border Control in IMS Networks,” Sections 1.1, 1.1.1, 1.1.3, 1.1.4, 2.1.1, 3.2, 3.3.1, 5.2.3 and pp. 7-8, Data Connection, 2005.
Digital Video Enterprises, “DVE Eye Contact Silhouette,” 1 page, © DVE 2008; http://www.dvetelepresence.com/products/eyeContactSilhouette.asp.
Dornaika F., et al., “Head and Facial Animation Tracking Using Appearance-Adaptive Models and Particle Filters,” 20040627; 20040627-20040602, Jun. 27, 2004, 22 pages; HEUDIASY Research Lab, http://eprints.pascal-network.org/archive/00001231/01/rtvhci—chapter8.pdf.
Eisert, Peter, ““Immersive 3-D Video Conferencing: Challenges, Concepts and Implementations,”” Proceedings of SPIE Visual Communications and Image Processing (VCIP), Lugano, Switzerland, Jul. 2003; 11 pages; http://iphome.hhi.de/eisert/papers/vcip03.pdf.
Garg, Ashutosh, et al., ““Audio-Visual ISpeaker Detection Using Dynamic Bayesian Networks,”” IEEE International Conference on Automatic Face and Gesture Recognition, 2000 Proceedings, 7 pages; http://www.ifp.illinois.edu/˜ashutosh/papers/FG00.pdf.
Geys et al., “Fast Interpolated Cameras by Combining a GPU Based Plane Sweep With a Max-Flow Regularisation Algorithm,” Sep. 9, 2004; 3D Data Processing, Visualization and Transmission 2004, pp. 534-541.
Gluckman, Joshua, et al., “Rectified Catadioptric Stereo Sensors,” 8 pages, retrieved and printed on May 17, 2010; http://cis.poly.edu/˜gluckman/papers/cvpr00.pdf.
Gundavelli, S., et al., “Proxy Mobile IPv6,” Network Working Group, RFC 5213, Aug. 2008, 93 pages; http://tools.ietf.org/pdf/rfc5213.pdf.
Gussenhoven, Carlos, “Chapter 5 Transcription of Dutch Intonation,” Nov. 9, 2003, 33 pages; http://www.ru.nl/publish/pages/516003/todisun-ah.pdf.
Gvili, Ronen et al., “Depth Keying,” 3DV System Ltd., [Retrieved and printed on Dec. 5, 2011] 11 pages; http://research.microsoft.com/en-us/um/people/eyalofek/Depth%20Key/DepthKey.pdf.
Hammadi, Nait Charif et al., ““Tracking the Activity of Participants in a Meeting,”” Machine Vision and Applications, Springer, Berlin, De Lnkd—DOI:10.1007/S00138-006-0015-5, vol. 17, No. 2, May 1, 2006, pp. 83-93, XP019323925; http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.106.9832.
Hepper, D., “Efficiency Analysis and Application of Uncovered Background Prediction in a Low BitRate Image Coder,” IEEE Transactions on Communications, vol. 38, No. 9, pp. 1578-1584, Sep. 1990.
Hock, Hans Henrich, “Prosody vs. Syntax: Prosodic rebracketing of final vocatives in English,” 4 pages; [retrieved and printed on Mar. 3, 2011] http://speechprosody2010.illinois.edu/papers/100931.pdf.
Jamoussi, Bamil, “Constraint-Based LSP Setup Using LDP,” MPLS Working Group, Sep. 1999, 34 pages; http://tools.ietf.org/html/draft-ietf-mpls-cr-Idp-03.
Jeyatharan, M., et al., “3GPP TFT Reference for Flow Binding,” MEXT Working Group, Mar. 2, 2010, 11 pages; http:/www.ietf.org/id/draft-jeyatharan-mext-flow-tftemp-reference-00.txt.
“Jong-Gook Ko et al., ““Facial Feature Tracking and Head Orientation-Based Gaze Tracking,”” ITC-CSCC 2000, International Technical Conference on Circuits/Systems, Jul. 11-13, 2000, 4 pages; http://www.umiacs.umd.edu/˜knkim/paper/itc-cscc-2000-jgko.pdf”.
Kollarits, R.V., et al., “34.3: An Eye Contact Camera/Display System for Videophone Applications Using a Conventional Direct-View LCD,” © 1995 SID, ISSN0097-0966X/95/2601, pp. 765-768; http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=47A1E7E028C26503975E633895D114EC?doi=10.1.1.42.1772&rep=rep1&type=pdf.
Kolsch, Mathias, “Vision Based Hand Gesture Interfaces for Wearable Computing and Virtual Environments,” A Dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Computer Science, University of California, Santa Barbara, Nov. 2004, 288 pages; http://fulfillment.umi.com/dissertations/b7afbcb56ba72fdb14d26dfccc6b470f/1291487062/3143800.pdf.
Kwolek, B., “Model Based Facial Pose Tracking Using a Particle Filter,” Geometric Modeling and Imaging—New Trends, 2006 London, England Jul. 5-6, 2005, Piscataway, NJ, USA, IEEE LNKD-DOI: 10.1109/GMAI.2006.34 Jul. 5, 2006, pp. 203-208; XP010927285 [Abstract Only].
Lambert, “Polycom Video Communications,” © 2004 Polycom, Inc., Jun. 20, 2004 http://www.polycom.com/global/documents/whitepapers/video—communications—h.239—people—content—polycom—patented—technology.pdf.
Liu, Shan, et al., ““Bit-Depth Scalable Coding for High Dynamic Range Video,” SPIE Conference on Visual Communications and Image Processing, Jan. 2008; 12 pages http://www.merl.com/papers/docs/TR2007-078.pdf”.
Marvin Imaging Processing Framework, “Skin-colored pixels detection using Marvin Framework,” video clip, YouTube, posted Feb. 9, 2010 by marvinproject, 1 page; http://www.youtube.com/user/marvinproject#p/a/u/0/3ZuQHYNIcrI.
Miller, Paul, “Microsoft Research patents controller-free computer input via EMG muscle sensors,” Engadget.com, Jan. 3, 2010, 1 page; http://www.engadget.com/2010/01/03/microsoft-research-patents-controller-free-computer-input-via-em/.
Nakaya, Y., et al. ““Motion Compensation Based on Spatial Transformations,” IEEE Transactions on Circuits and Systems for Video Technology, Jun. 1994, Abstract Only http://ieeexplore.ieee.org/Xplore/login.jsp?url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel5%2F76%2F7495%2F00305878.pdf%3Farnumber%3D305878&authDecision=-203”.
Patterson, E.K., et al., ““Moving-Talker, Speaker-Independent Feature Study and Baseline Results Using the CUAVE Multimodal Speech Corpus,” EURASIP Journal on Applied Signal Processing, vol. 11, Oct. 2002, 15 pages http://www.clemson.edu/ces/speech/papers/CUAVE—Eurasip2002.pdf”.
Perez, Patrick, et al., ““Data Fusion for Visual Tracking with Particles,” Proceedings of the IEEE, vol. XX, No. XX, Feb. 2004, 18 pages http://citeseer.ist.psu.edu/viewdoc/summary?doi=10.1.1.6.2480”.
Potamianos, G., et a., ““An Image Transform Approach for HMM Based Automatic Lipreading,”” in Proceedings of IEEE ICIP, vol. 3, 1998, 5 pages http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.13.6802.
Rikert, T.D., et al., ““Gaze Estimation using Morphable models,” IEEE International Conference on Automatic Face and Gesture Recognition, Apr. 1998; 7 pgs http://citeseer.ist.psu.edu/viewdoc/summary?doi=10.1.1.30.9472”.
Soliman, H., et al., “Flow Bindings in Mobile IPv6 and NEMO Basic Support,” IETF MEXT Working Group, Nov. 9, 2009, 38 pages; http://tools.ietf.org/html/draft-ietf-mext-flow-binding-04.
Sudan, Ranjeet, “Signaling in MPLS Networks with RSVP-TE-Technology Information,” Telecommunications, Nov. 2000, 3 pages; http://findarticles.com/p/articles/mi—mOTLC/is—11—34/ai—67447072/.
Tan, Kar-Han, et al., ““Appearance-Based Eye Gaze Estimation,” In Proceedings IEEE WACV'02, 2002, 5 pages http://citeseer.ist.psu.edu/viewdoc/summary?doi=10.1.1.19.8921”.
Trevor Darrell, “A Real-Time Virtual Mirror Display,” 1 page, Sep. 9, 1998; http://people.csail.mit.edu/trevor/papers/1998-021/node6.html.
Veratech Corp., “Phantom Sentinel,” © VeratechAero 2006, 1 page; http://www.veratechcorp.com/phantom.html.
Vertegaal, Roel, et al., “GAZE-2: Conveying Eye Contact in Group Video Conferencing Using Eye-Controlled Camera Direction,” CHI 2003, Apr. 5-10, 2003, Fort Lauderdale, FL; Copyright 2003 ACM 1-58113-630-7/03/0004; 8 pages; http://www.hml.queensu.ca/papers/vertegaalchi0403.pdf.
Wachs, J., et al., “A Real-time Hand Gesture System Based on Evolutionary Search,” Vision, 3rd Quarter 2006, vol. 22, No. 3, 18 pages; http://web.ics.purdue.edu/˜jpwachs/papers/3q06vi.pdf.
“3D Particles Experiments in AS3 and Flash CS3,” [retrieved and printed on Mar. 18, 2010]; 2 pages; http://www.flashandmath.com/advanced/fourparticles/notes.html.
3G, “World's First 3G Video Conference Service with New TV Commercial,” Apr. 28, 2005, 4 pages; http://www.3g.co.uk/PR/April2005/1383.htm.
“Eye Tracking,” from Wikipedia, (printed on Aug. 31, 2011) 12 pages; http://en.wikipedia.org/wiki/Eye—tracker.
“RoundTable, 360 Degrees Video Conferencing Camera unveiled by Microsoft,” TechShout, Jun. 30, 2006, 1 page; http://www.techshout.com/gadgets/2006/30/roundtable-360-degrees-video-conferencing-camera-unveiled-by-microsoft/#.
“Vocative Case,” from Wikipedia, [retrieved and printed on Mar. 3, 2011] 11 pages; http://en.wikipedia.org/wiki/Vocative—case.
“Custom 3D Depth Sensing Prototype System for Gesture Control,” 3D Depth Sensing, GestureTek, 3 pages; [Retrieved and printed on Dec. 1, 2010] http://www.gesturetek.com/3ddepth/introduction.php.
“Eye Gaze Response Interface Computer Aid (Erica) tracks Eye movement to enable hands-free computer operation,” UMD Communication Sciences and Disorders Tests New Technology, University of Minnesota Duluth, posted Jan. 19, 2005; 4 pages http://www.d.umn.edu/unirel/homepage/05/eyegaze.html.
“Real-time Hand Motion/Gesture Detection for HCI-Demo 2,” video clip, YouTube, posted Dec. 17, 2008 by smmy0705, 1 page; www.youtube.com/watch?v=mLT4CFLIi8A&feature=related.
“Simple Hand Gesture Recognition,” video clip, YouTube, posted Aug. 25, 2008 by pooh8210, 1 page; http://www.youtube.com/watch?v=F8GVeV0dYLM&feature=related.
active8-3D—Holographic Projection—3D Hologram Retail Display & Video Project, [retrieved and printed on Feb. 24, 2009], http://www.activ8-3d.co.uk/3d—holocubes; 1 page.
“Andreopoulos, Yiannis, et al., ““In-Band Motion Compensated Temporal Filtering,”” Signal Processing: Image Communication 19 (2004) 653-673, 21 pages http://medianetlab.ee.ucla.edu/papers/011.pdf”.
“Arulampalam, M. Sanjeev, et al., ““A Tutorial on Particle Filters for Online Nonlinear/Non-Gaussian Bayesian Tracking,”” IEEE Transactions on Signal Processing, vol. 50, No. 2, Feb. 2002, 15 pages http://www.cs.ubc.ca/˜murphyk/Software/Kalman/ParticleFilterTutorial.pdf”.
Awduche, D., et al., “Requirements for Traffic Engineering over MPLS,” Network Working Group, RFC 2702, Sep. 1999, 30 pages; http://tools.ietf.org/pdf/rfc2702.pdf.
Berzin, O., et al., “Mobility Support Using MPLS and MP-BGP Signaling,” Network Working Group, Apr. 28, 2008, 60 pages; http://www.potaroo.net/ietf/all-/draft-berzin-malis-mpls-mobility-01.txt.
Boros, S., “Policy-Based Network Management with SNMP,” Proceedings of the EUNICE 2000 Summer School Sep. 13-15, 2000, p. 3.
EPO Feb. 25, 2011 Communication for EP09725288.6 (published as EP22777308); 4 pages.
EPO Aug. 15, 2011 Response to EPO Communication mailed Feb. 25, 2011 from European Patent Application No. 09725288.6; 15 pages.
EPO Nov. 3, 2011 Communication from European Application EP10710949.8; 2 pages.
EPO Mar. 12, 2012 Response to EP Communication dated Nov. 3, 2011 from European Application EP10710949.8; 15 pages.
EPO Mar. 20, 2012 Communication from European Application 09725288.6; 6 pages.
EPO Jul. 10, 2012 Response to EP Communication from European Application EP10723445.2.
EPO Sep. 24, 2012 Response to Mar. 20, 2012 EP Communication from European Application EP09725288.6.
PCT Sep. 25, 2007 Notification of Transmittal of the International Search Report from PCT/US06/45895.
PCT Sep. 2, 2008 International Preliminary Report on Patentability (1 page) and the Written Opinion of th ISA (4 pages) from PCT/US2006/045895.
PCT Sep. 11, 2008 Notification of Transmittal of the International Search Report from PCT/US07/09469.
PCT Nov. 4, 2008 International Preliminary Report on Patentability (1 page) and the Written Opinion of the ISA (8 pages) from PCT/US2007/009469.
PCT May 11, 2010 International Search Report from PCT/US2010/024059; 4 pages.
PCT Aug. 24, 2010 PCT International Search Report mailed Aug. 24, 2010 for PCT/US2010033880; 4 pages.
PCT Oct. 12, 2011 International Search Report and Written Opinion of the ISA from PCT/US2011/050380.
PCT Nov. 24, 2011 International Preliminary Report on Patentability from International Application Serial No. PCT/US2010/033880; 6 pages.
PCT Aug. 23, 2011 International Preliminary Report on Patentability and Written Opinion of the ISA from PCT/US2010/024059; 6 pages.
PCT Sep. 13, 2011 International Preliminary Report on Patentability and the Written Opinion of the ISA from PCT/US2010/026456; 5 pages.
PCT Jan. 23, 2012 International Search Report and Written Opinion of the ISA from International Application Serial No. PCT/US2011/060579; 10 pages.
PCT Jan. 23, 2012 International Search Report and Written Opinion of the ISA from International Application Serial No. PCT/US2011/060584; 11 pages.
PCT Feb. 20, 2012 International Search Report and Written Opinion of the ISA from International Application Serial No. PCT/US2011/061442; 12 pages.
Wang, Robert and Jovan Popovic, “Bimanual rotation and scaling,” video clip, YouTube, posted by rkeltset on Apr. 14, 2010, 1 page; http://www.youtube.com/watch?v=7TPFSCX79U.
Wang, Robert and Jovan Popovic, “Desktop virtual reality,” video clip, YouTube, posted by rkeltset on Apr. 8, 2010, 1 page; http://www.youtube.com/watch?v=9rBtm62Lkfk.
Wang, Robert and Jovan Popovic, “Gestural user input,” video clip, YouTube, posted by rkeltset on May 19, 2010, 1 page; http://www.youtube.com/watch?v=3JWYTtBjdTE.
Wang, Robert and Jovan Popovic, “Manipulating a virtual yoke,” video clip, YouTube, posted by rkeltset on Jun. 8, 2010, 1 page; http://www.youtube.com/watch?v=UfgGOO2uM.
Wang, Robert and Jovan Popovic, “Real-Time Hand-Tracking with a Color Glove, ACM Transaction on Graphics,” 4 pages, [Retrieved and printed on Dec. 1, 2010] http://people.csail.mit.edu/rywang/hand.
Wang, Robert and Jovan Popovic, “Real-Time Hand-Tracking with a Color Glove, ACM Transaction on Graphics” (SIGGRAPH 2009), 28(3), Aug. 2009; 8 pages http://people.csail.mit.edu/rywang/handtracking/s09-hand-tracking.pdf.
Wang, Robert and Jovan Popovic, “Tracking the 3D pose and configuration of the hand,” video clip, YouTube, posted by rkeltset on Mar. 31, 2010, 1 page; http://www.youtube.com/watch?v=JOXwJkWP6Sw.
Weinstein et al., “Emerging Technologies for Teleconferencing and Telepresence,” Wainhouse Research 2005 http://www.ivci.com/pdf/whitepaper-emerging-technologies-for-teleconferencing-and-telepresence.pdf.
Wilson, Mark, “Dreamoc 3D Display Turns Any Phone Into Hologram Machine,” Oct. 30, 2008; http://gizmodo.com/5070906/ dreamoc-3d-display-turns-any-phone-into-hologram-machine; 2 pages.
WirelessDevNet, Melody Launches Bluetooth Over IP, [retrieved and printed on Jun. 5, 2010] http://www.wirelessdevnet.com/news/2001/ 155/news5.html; 2 pages.
Xia, F., et al., “Home Agent Initiated Flow Binding for Mobile IPv6,” Network Working Group, Oct. 19, 2009, 15 pages; http://tools.ietf.orghtml/draft-xia-mext-ha-init-flow-binding-01.txt.
Xin, Jun, et al., “Efficient macroblock coding-mode decision for H.264/AVC video coding,” Technical Repot MERL 2004-079, Mitsubishi Electric Research Laboratories, Jan. 2004; www.merl.com/publications/TR2004-079/; 12 pages.
Yang, Jie, et al., “A Real-Time Face Tracker,” Proceedings 3rd IEEE Workshop on Applications of Computer Vision; 1996; Dec. 2-4, 1996; pp. 142-147; http://www.ri.cmu.edu/pub—files/pub1/yang—jie—1996—1/yang—jie—1996—1.pdf.
Yang, Ming-Hsuan, et al., “Detecting Faces in Images: A Survey,” vol. 24, No. 1; Jan. 2002; pp. 34-58; http://vision.ai.uiuc.edu/mhyang/papers/pami02a.pdf.
Yang, Ruigang, et al., “Real-Time Consensus-Based Scene Reconstruction using Commodity Graphics Hardware,” Department of Computer Science, University of North Carolina at Chapel Hill; 2002; http://www.cs.unc.edu/Research/stc/publications/yang—pacigra2002.pdf ; 10 pages.
Yang, Xiaokang, et al., Rate Control for H.264 with Two-Step Quantization Parameter Determination but Single-Pass Encoding, EURASIP Journal on Applied Signal Processing, Jun. 2006; http://downloads.hindawi.com/journals/asp/2006/063409.pdf; 13 pages.
Yegani, P. et al., “GRE Key Extension for Mobile IPv4,” Network Working Group, Feb. 2006, 11 pages; http://tools.ietf.org/pdf/draft-yegani-gre-key-extension-01.pdf.
Yoo, Byounghun, et al., “Image-Based Modeling of Urban Buildings Using Aerial Photographs and Digital Maps,” Transactions in GIS, 2006, 10(3): p. 377-394.
Zhong, Ren, et al., “Integration of Mobile IP and MPLS,” Network Working Group, Jul. 2000, 15 pages; http://tools.ietf.org/html/draft-zhong-mobile-ip-mpls-01.
PRC Aug. 3, 2012 SIPO First Office Action from Chinese Application No. 200980119121.5; 16 pages.
PRC Dec. 18, 2012 Response to SIPO First Office Action from Chinese Application No. 200980119121.5; 16 pages.
“Oblong Industries is the developer of the g-speak spatial operation environment,” Oblong Industries Information Page, 2 pages, [Retrieved and printed on Dec. 1, 2010] http://oblong.com.
Underkoffler, John, “G-Speak Overview 1828121108,” video clip, Vimeo.com, 1 page, [Retrieved and printed on Dec. 1, 2010] http://vimeo.com/2229299.
Kramer, Kwindla, “Mary Ann de Lares Norris at Thinking Digital,” Oblong Industries, Inc. Web Log, Aug. 24, 2010; 1 page; http://oblong.com/articles/OBS6hEeJmoHoCwgJ.html.
“Mary Ann de Lares Norris,” video clip, Thinking Digital 2010 Day Two, Thinking Digital Videos, May 27, 2010, 3 pages; http://videos.thinkingdigital.co.uk/2010/05/mary-ann-de-lares-norris-oblong/.
Kramer, Kwindla, “Oblong at TED,” Oblong Industries, Inc. Web Log, Jun. 6, 2010, 1 page; http://oblong.com/article/OB22LFIS1NVyrOmR.html.
Video on TED.com, Pranav Mistry: the Thrilling Potential of SixthSense Technology (5 pages) and Interactive Transcript (5 pages), retrieved and printed on Nov. 30, 2010; http://www.ted.com/talks/pranav—mistry—the—thrilling—potential—of—sixthsense—technology.html.
“John Underkoffler points to the future of UI,” video clip and interactive transcript, Video on TED.com, Jun. 2010, 6 pages; http://www.ted.com/talks/john—underkoffler—drive—3d—data—with—a—gesture.html.
Kramer, Kwindla, “Oblong on Bloomberg TV,” Oblong Industries, Inc. Web Log, Jan. 28, 2010, 1 page; http://oblong.com/article/0AN—1KD9q990PEnw.html.
Kramer, Kwindla, “g-speak at RISD, Fall 2009,” Oblong Industries, Inc. Web Log, Oct. 29, 2009, 1 page; http://oblong.com/article/09uW060q6xRIZYvm.html.
Kramer, Kwindla, “g-speak+TMG,” Oblong Industries, Inc. Web Log, Mar. 24, 2009, 1 page; http://oblong.com/article/08mM77zpYMm7kFtv.html.
“g-stalt version 1,” video clip, YouTube.com, posted by zigg1es on Mar. 15, 2009, 1 page; http://youtube.com/watch?v=k8ZAql4mdvk.
Underkoffler, John, “Carlton Sparrell speaks at MIT,” Oblong Industries, Inc. Web Log, Oct. 30, 2009, 1 page; http://oblong.com/article/09usAB4l1Ukb6CPw.html.
Underkoffler, John, “Carlton Sparrell at MIT Media Lab,” video clip, Vimeo.com, 1 page, [Retrieved and printed Dec. 1, 2010] http://vimeo.com/7355992.
Underkoffler, John, “Oblong at Altitude: Sundance 2009,” Oblong Industries, Inc. Web Log, Jan. 20, 2009, 1 page; http://oblong.com/article/08Sr62ron—2akg0D.html.
Underkoffler, John, “Oblong's tamper system 1801011309,” video clip, Vimeo.com, 1 page, [Retrieved and printed Dec. 1, 2010] http://vimeo.com/2821182.
Feld, Brad, “Science Fact,” Oblong Industries, Inc. Web Log, Nov. 13, 2008, 2 pages,http://oblong.com/article/084H-PKI5Tb914Ti.html.
Kwindla Kramer, “g-speak in slices,” Oblong Industries, Inc. Web Log, Nov. 13, 2008, 6 pages; http://oblong.com/article/0866JqfNrFg1NeuK.html.
Underkoffler, John, “Origins: arriving here,” Oblong Industries, Inc. Web Log, Nov. 13, 2008, 5 pages; http://oblong.com/article/085zBpRSY9JeLv2z.html.
Rishel, Christian, “Commercial overview: Platform and Products,” Oblong Industries, Inc., Nov. 13, 2008, 3 pages; http://oblong.com/article/086E19gPvDcktAf9.html.
PCT May 30, 2013 International Preliminary Report on Patentability and Written Opinion from the International Searching Authority for International Application Serial No. PCT/US2011/061442 8 pages.
PCT May 30, 2013 International Preliminary Report on Patentability and Written Opinion from the International Searching Authority for International Application Serial No. PCT/US2011/060579 6 pages.
PCT May 30, 2013 International Preliminary Report on Patentability and Written Opinion from the International Searching Authority for International Application Serial No. PCT/US2011/060584 7 pages.
PRC Jun. 18, 2013 Response to SIPO Second Office Action from Chinese Application No. 200980119121.5; 5 pages.
PCT Mar. 21, 2013 International Preliminary Report on Patentability from International Application Serial No. PCT/US2011/050380.
PRC Jan. 7, 2013 SIPO Second Office Action from Chinese Application Serial No. 200980105262.1.
PRC Apr. 3, 2013 SIPO Second Office Action from Chinese Application No. 200980119121.5; 16 pages.
PRC Jul. 9, 2013 SIPO Third Office Action from Chinese Application No. 200980119121.5; 15 pages.
PRC Sep. 24, 2013 Response to SIPO Third Office Action from Chinese Application No. 200980119121.5; 5 pages.
U.S. Appl. No. 14/055,427, filed Oct. 16, 2013, entitled “System and Method for Provisioning Flows in a Mobile Network Environment,” Inventors: Balaji Vankat Vankataswami, et al.
U.S. Appl. No. 14/154,608, filed Jan. 14, 2014, entitled “System and Method for Extending Communications Between Participants in a Conferencing Environment,” Inventors: Brian Baldino, et al.
PRC Aug. 28, 2013 SIPO First Office Action from Chinese Application No. 201080010988.X 7 pages.
PRC Nov. 26, 2013 SIPO First Office Action from Chinese Application No. 201080020670 5pgs.
U.S. Appl. No. 12/234,291, filed Sep. 19, 2008, entitled “System and Method for Enabling Communication Sessions in a Network Environment,” Inventors: Yifan Gao et al.
U.S. Appl. No. 12/366,593, filed Feb. 5, 2009, entitled “System and Method for Depth Perspective Image Rendering,” Inventors: J. William Mauchly et al.
U.S. Appl. No. 12/475,075, filed May 29, 2009, entitled “System and Method for Extending Communications Between Participants in a Conferencing Environment,” Inventors: Brian J. Baldino et al.
U.S. Appl. No. 12/400,540, filed Mar. 9, 2009, entitled “System and Method for Providing Three Dimensional Video Conferencing in a Network Environment,” Inventors: Karthik Dakshinamoorthy et al.
U.S. Appl. No. 12/400,582, filed Mar. 9, 2009, entitled “System and Method for Providing Three Dimensional Imaging in a Network Environment,” Inventors: Shmuel Shaffer et al.
U.S. Appl. No. 12/539,461, filed Aug. 11, 2009, entitled “System and Method for Verifying Parameters in an Audiovisual Environment,” Inventor: James M. Alexander.
U.S. Appl. No. 12/463,505, filed May 11, 2009, entitled “System and Method for Translating Communications Between Participants in a Conferencing Environment,” Inventors: Marthinus F. De Beer et al.
U.S. Appl. No. 12/727,089, filed Mar. 18, 2010, entitled “System and Method for Enhancing Video Images in a Conferencing Environment,” Inventor: Joseph T. Friel.
U.S. Appl. No. 12/784,257, filed May 20, 2010, entitled “Implementing Selective Image Enhancement,” Inventors: Dihong Tian et al.
U.S. Patent Application Serial No. 12/7870,687 filed Aug. 27, 2010, entitled “System and Method for Producing a Performance Via Video Conferencing in a Network Environment,” Inventors: Michael A. Arnao et al.
PCT “International Search Report and the Written Opinion of the International Searching Authority, or the Declaration,” PCT/US2010/026456, dated Jun. 29, 2010, 11 pages.
PCT “Notification of Transmittal of the International Search Report and the Written Opinion of the International Searching Authority, or the Declaration,” PCT/US2009/001070, dated Apr. 4, 2009, 14 pages.
PCT “Notification of Transmittal of the International Search Report and the Written Opinion of the International Searching Authority, or the Declaration,” PCT/US2009/038310; dated Oct. 10, 2009; 17 pages.
PCT “International Preliminary Report on Patentability dated Sep. 29, 2009, International Search Report, and Written Opinion,” for PCT International Application PCT/US2008/058079; dated Sep. 18, 2008, 10 pages.
Related Publications (1)
Number Date Country
20120050458 A1 Mar 2012 US