The present disclosure relates to the sharing of images over an ad hoc network based on face matching.
There are many applications and services available for sharing images. The vast majority of these solutions require that the sender and receiver both have an account on one of the services and/or know at least one communication address (e.g. email, cell number, etc.) of the intended recipient to perform the sharing.
The use of “events” to organize images to be shared with a group has also become popular. Events are typically defined by location, time, and participants. However, events do not work as well when the number of participants becomes too large, the location changes quickly over time, or the participant rosters change at the last minute.
The present disclosure describes a system that addresses the short comings of the existing solutions.
The proposed system does not require a participant to belong to a service or have a user account. The participants are defined by their geographical proximity to the device capturing the image.
The device capturing the image uses a first network interface, such as Bluetooth, to discover other devices in physical proximity to the capture device. The capture device then queries other mobile devices in geographical proximity to receive user information. The user information may include face information, location information, and identity information and communication preference information. The location information, and identity information and communication preference information are optional. The face information is typically in the form of a template representing the face, not an image of the face. The location information may be in the form of GPS coordinates. The identification information may include textual information indicating the name of the subject corresponding to the face information.
In some embodiments of the present application, a live view is provided. Using the face information, faces in the live view are matched, and the identity information may be overlaid in real-time onto the subjects appearing in the live view. The identity information is user provided, without verification, and may or may not correspond to the real name of the person. For example, it may be an informal screen name and does not uniquely identify the user within the system.
In some embodiments of the present application other devices may be notified if the users associated with the other devices appear in the live view of the capturing device.
Once an image is captured, the image is processed to identify any faces within the image for which the capturing device has received face information. If matches are determined, then the other mobile devices belonging to the other users appearing in the image are notified.
The other device(s) may be sent the captured image, a reduced resolution version of the captured image, information allowing the later downloading of the image, or any combination thereof.
In an example usage scenario, consider a family reunion gathering. The group might include relatives of varying ages from disparate geographical locations that rarely see each other. They may not be connected via social networks, nor in possession of each other's contact information (phone number, e-mail, etc.). The event may be held in an area with no WIFI network (or at least an open public one) and/or spotty cellular coverage. During the event, someone decides to take a photo of a subset of the group attendees. By using the proposed system, the photographer is able to effortlessly and selectively share the captured image with the group attendees in the photo by using facial matching. And this all occurs without the photographer and the subset of the group attendees exchanging contact information or subscribing to a common service. The photographer may not even know some of the subjects in the image. Further, it occurs without participants joining a WIFI network and/or having cellular service.
A system is described comprising: a first device comprising: a first memory and first processor, associated with a first communication subsystem, operable to: capture a first image of a first face of a first user of the first device; determine a first facial template based on the first image; send first information, the first information including the first facial template; receive a second image; and the first communication subsystem operable to: couple the first device to a second device; and the second device comprising: a second communication subsystem operable to: couple the second device to the first device; and a second memory and second processor, associated with the second communication subsystem, operable to: receive the first information; capture the second image; designate a second face appearing in the second image; determine a second facial template from the second face appearing in the second image; perform a comparison of the first facial template to the second facial template; based on the comparison, determine a match; and in response to determining the match, send to the first device the second image. In another aspect, to send to the first device the second image the second device is further operable to: determine a notification score based on a computation of a face match probability, position match probability, and an orientation match probability; and send to the first device the second image based on the notification score. In another aspect, to send the second image based on the notification score the second device is further operable to: perform a second comparison of the notification score to a threshold value; and based on the comparison, send to the first device the second image. In another aspect, the first information comprises identity information including one or more of: an alphanumeric name of the first user associated with the first device, the alphanumeric name not uniquely identifying the first user; a graphical element representing the first user of the first device, the graphical element not being an image of the first face of the first user; and an image of a face of the first user of the first device. In another aspect, the first information comprises communication preferences including one or more of: a network address at which the first user of the first device may be contacted; a first preference identifying how the first user of the first device will be sent the second image; and a second preference identifying additional notification types to be sent, the additional notification types including one or more of image viewing events and face appearances in a live viewfinder. In another aspect, the first facial template and the second facial template are numerical parameters representing faces corresponding to the first user and second user. In another aspect, the first communication subsystem is comprised of a first network interface and a second network interface; and the second communication subsystem is comprised of a third network interface and a fourth network interface. In another aspect, the first network interface and the third network interface are Bluetooth interfaces; and the second network interface and the fourth network interface are WIFI interfaces. In another aspect, the first network interface and the third network interface are NFC interfaces; and the second network interface and the fourth network interface are wireless interfaces. In another aspect, the first network interface of the first communication subsystem is operable to: advertise the first information; and the third network interface of the second communication subsystem is operable to: browse for the first information. In another aspect, the second network interface of the first communication subsystem is operable to: receive the second image; and the fourth network interface of the second communication subsystem is operable to: send the second image. In another aspect, to provide a live viewfinder on the second device, the second device is further operable to periodically: capture an updated viewfinder image; determine a third facial template from a third face detected in the updated viewfinder image; perform a second comparison of the first facial template to the third facial template to determine a second match; in second response to determining the second match, present a detection frame around the third face; and send to the first device a notification. In another aspect, the second device further operable to: send the notification, in response to the second match, indicating to the first device that the first face of the first user of the first device appears in the updated viewfinder image and is subject to appear in a future captured image. In another aspect, the second device is further operable to: determine a position within the updated viewfinder image of the third face appearing in the updated viewfinder image; and display, in an area adjacent to the position within the updated viewfinder image of the third face appearing in the updated viewfinder image, identity information, the identity information included in the first information. In another aspect, to detect the third face appearing in the second image, the second device further operable to: detect other faces appearing in the updated viewfinder image, the other faces corresponding to other users of other devices; and based on geographical positions of the other devices, adjust notification scores of ones of the other users of the other devices, the geographical positions obtained from location information included in the first information. In another aspect, to adjust the notification scores of the ones of the other users of the other devices, the second device is operable to: determine a field of view of a camera subsystem of the second device; determine, using the geographical positions of the other users of the other devices, the ones of the other users of the other devices that are not currently in the field of view of the camera subsystem of the second device; and adjust the notification scores of the ones of the other users of the other devices. In another aspect, the first device and the second device are ones of a mobile phone, a tablet computer, a personal digital assistant, a digital camera, and a laptop computer. In another aspect, neither of the first device nor the second device are connected to a cellular network or an infrastructure WIFI network. In another aspect, in performing the comparison of the first facial template to the second facial template to determine the match, faces in the second image are detected and matched, but not uniquely identified. In another aspect, to send the second image to the first device the second device is further operable to: send one or more of: a full resolution version of the second image, a thumbnail of the second image, an identifier usable to receive the second image from the second device, and an identifier usable to receive the second image from a server device. In another aspect, the first device and the second device are mobile devices. In another aspect, neither of the first device nor the second device are members a same image sharing service. In another aspect, the first device does not have a second phone number of the second device and the second device does not have a first phone number of the first device. In another aspect, the first device does not have a second email address of a second user of the second device and the second device does not have a first email address of the first user of the first device. In another aspect, the second device is not storing any images of the first user and any face template of the first user. In another aspect, in performing the comparison of the first facial template to the second facial template to determine the match, faces in the second image are detected and matched, and identified based on identity information received from a server device. In another aspect, the identifier is a universally unique identifier (UUID).
A method is described of operating a first device comprising: receiving, on a first communication interface, first information including facial template representing a face of a user operating a second device; determining a match of the facial template to a second face appearing in an image captured at the first device; and In response to determining the match, sending to the first device over a second communication interface the image captured at the first device. In another aspect, the facial template is the first facial template and determining the match of the facial template to the second face appearing in the image captured at the first device further comprises: determining second facial template from the second face appearing in the image captured at the first device; performing a comparison of the first facial template to the second facial template; and based on the comparison, determining the match. In another aspect, determining the match further comprises computing a match probability score based on the comparison; performing a second comparison of the match probability score to a threshold score; and based on the second comparison, determining the match. In another aspect, the first communication interface is a Bluetooth interface and the second communication interface is a WIFI interface. In another aspect, the first information further includes: receiving one or more of location information, identity information, and communication preferences information. In another aspect, the first device is a discovery device further operable to: browse for advertisement information, the advertisement information included in the first information, the first information received over the first communication interface, the first communication interface including a Bluetooth interface.
A method is described of operating a first device comprising: sending, to a second device over a first communication interface, first information including facial template representing a face of a user operating the first device; and receiving, from the second device over a second communication interface, an image captured at the second device, the image received in response to the second device having matched the facial template to a second face appearing in the image. In another aspect, sending the facial template representing the face of the user operating the first device further comprises: obtaining the facial template from a login security component of an operating system of the first device, the login security component having received the image of the face of the user operating the first device during a login and authentication sequence. In another aspect, sending the facial template representing the face of the user operating the first device further comprises: capturing the image in which the face of the user operating the first device appears; and determining the facial template from the image. In another aspect, sending the first information further includes: sending one or more of location information, identity information, and communication preferences information. In another aspect, the first device is an advertising device further operable to: publish advertisement information, the advertisement information included in the first information, the first information published over the first communication interface, the first communication interface including a Bluetooth interface.
A first device is described comprising: a first communication interface and a second communication interface; and a processor and memory, associated with the first communication interface and the second communication interface, operable to: receive, on the first communication interface, first information including facial template representing a face of a user operating a second device; match the facial template to a second face appearing in an image captured at the first device; and in response to the match, send to the first device over the second communication interface the image captured at the first device.
A first device is described comprising: a first communication interface and a second communication interface; and a processor and memory, coupled to the first communication interface and the second communication interface, operable to: send to a second device over a first communication interface first information including facial template representing a face of a user operating the first device; and receive, from the second device over the second communication interface, an image captured at the second device, the image received in response to the second device having matched the facial template to a second face appearing in the image.
The accompanying drawing figures incorporated in and forming a part of this specification illustrate several aspects of the disclosure, and together with the description serve to explain the principles of the disclosure.
The embodiments set forth below represent the necessary information to enable those skilled in the art to practice the claims and illustrate the best mode of practicing the disclosure. Upon reading the following description in light of the accompanying drawing figures, those skilled in the art will understand the concepts of the disclosure and will recognize applications of these concepts not particularly addressed herein. It should be understood that these concepts and applications fall within the scope of the disclosure and the accompanying claims.
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The Share Face Information 422 setting on the preferences 400 view enables control of how information is shared with other mobile devices 20 in the advertisement phase 1701 and discovery phase 1715. The location information 710 includes the location of the mobile device 20 and includes a latitude 712, longitude 714, altitude 716, speed 718, floor 720, course 722, horizontal accuracy 724, and vertical accuracy 726. The latitude 712 and longitude 714 are typically expressed as GPS coordinates. The altitude 716 is the vertical height of the mobile device 20 above the surface of the earth. The speed 718 is the speed of the mobile device 20 over a time interval. The floor 720 is the floor level inside a building structure. The course 722 is the direction of travel of the mobile device 20. The horizontal accuracy 724 and the vertical accuracy 726 represent the confidence level in the corresponding coordinates. This location information 710 is constantly being updated as the mobile device 20 is moved around according to the user's movement. The Share Location Information 420 setting on the preferences 400 view control whether this information is shared with other mobile devices in the advertisement phase 1701 and discovery phase 1715.
The identity information 728 includes a name 730 and graphical identifier 732. The name 730 corresponds to the display name 416 set in the preferences 400 view and may include a user supplied icon or graphical identifier 732.
The communication preferences 734 include an image size 736, image data format 738, and images to receive 740 which correspond to the image size 408, image data format 410, and images to receive 412 set in the preferences 400 view. The notification preferences 742 allow the mobile device 20 to define various other notification that may be received. For example, notification may be sent and received when a sent image is viewed. As another example, notification may be sent when a capturing device detects a subject in a live viewfinder image (indicating that the subject may appearing in an image about the be captured). The email address 744 corresponds to the email address 418 set in the preferences 400 view.
The device information 746 includes model name 748, system version 750, system name 752, device name 754, and client version 756. The model name 748 indicates the model name of the device 20, such as “iPhone 6s Plus” 2638. The system version 750 indicates the version of the operating system, such as “13.6” 2640. The system name 753 indicates the name of the operating running on the device such as “iOS” 2642. The device name 754, which is user supplied, is an informal identifier and may take any form such as “Hugh's Pink iPhone 6s” 2644. The client version identifies the version of the client 2002516 running on the mobile device 20.
The Peer dictionary 700 is passed 1712 between the advertisement phase 1701 and discovery phase 1715.
Note that in some embodiments, the only information that is passed in the peer dictionary is the face template 708, and everything else is optional.
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score=FMP*FW+PMP*PW+OMP*OW Equation 1
Referring now to Equation 1, the face match probability (FMP) 1012 is a measure of the probability that a face template matches a face in the image. This may be determined by the face matching module 1604. The position match probability (PMP) 1014 is a measure of the probability that the position of the face/device in the image matches the position of the mobile device 20 that provided the template 708. For example if the face/device appears to the right in the captured image (12-4 in
The face weight (FW) 1018 specifies a level of importance of the face match probability (FMP) 1012 in determining the score 1006. The position weight (PW) 1020 specifies a level of importance of the position match probability (PMP) 1014 in determining the score 1006. The orientation weight (OW) 1022 specifies a level of importance of the orientation match probability (OMP) 1016 in determining the score 1006. The face weight (FW) 1018, position weight (PW) 1020, orientation weight (OW) 1022 may be system defined parameters. They may also be adjusted by the user 12. Some implementations may use only the face match probability (FMP) 1012 and face weight (FW) 1018.
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As background, face recognition systems use computer algorithms to pick out specific, distinctive details about a person's face. These details, such as distance between the eyes or shape of the chin, are then converted into a mathematical representation and compared to data on other faces typically collected in a face recognition database. The data about a particular face is often called a face template and is distinct from a photograph because it's designed to only include certain details that can be used to distinguish one face from another. As such, it can require much less memory to store and bandwidth to transmit.
Some face recognition systems, instead of positively identifying an unknown person, are designed to calculate a probability match score between the unknown person and specific face templates stored in the database. These systems will offer up several potential matches, ranked in order of likelihood of correct identification, instead of just returning a single result.
Face recognition systems vary in their ability to identify people under challenging conditions such as poor lighting, low quality image resolution, and suboptimal angle of view (such as in a photograph taken from above looking down on an unknown person).
It is also important to understand the differences between face recognition, face detection, face identification, and face matching. Face recognition is a general topic that may include the others. Face detection refers to the process of determining that an image contains a face and may determine the boundaries of that face within the image. Face identification refers to matching the detected face in the image to a specific person of known identity (i.e. uniquely identify). Face matching refers to determining if a person appearing in one image is the same person appearing in another image—without necessarily identifying who that person is. The face detection, face identification, and face matching used in the present disclosure may be conventional and are not focus of the present disclosure.
The capture location 1310 stores the geographic location of the device 20 that captured the image 902 at the time of capture. The focal location 1312 stores the geographic location that was the focal point of the image 902. The focal distance 1314 stores the distance between the capture location 1310 and the focal location 1312. The view pitch 1316 stores the vertical viewing angle. The yaw pitch 1318 stores the horizontal viewing angle. The view roll 1320 stores the rotation angle along the viewing axis.
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In some embodiments, the advertiser view 1406 is a view such as that described in
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A number of networking technologies and specification are available to implement the described system. They may be used in isolation, or in combination with other technologies/specification. For example, due to their underlying features and limitations, Bluetooth may be used for the discovery phase, and WiFi Direct may be used for more intensive data sharing.
Bluetooth devices use the free, 2.4-gigahertz radio band known as ISM, which stands for industrial, scientific and medical devices. The band is unlicensed for low-power use, so headsets and other Bluetooth accessories use very little in the way of batteries. While any two Bluetooth devices can share¬data at a range between 10 and 100 meters (33 and 328 feet), phones usually operate at the former, laptops at the latter. Any Bluetooth device can communicate with up to seven other devices at a time.
Every Bluetooth device has its own address, a unique 48-bit identifier with six bytes of information that might look like this: 01:23:45:67:89.10. The first three bytes (01:23:45) are assigned to the specific manufacturer of the device, while the last three bytes (67:89:10) are assigned by the manufacturer. These make each device entirely unique.
The Bluetooth standard's maximum data rate is, at best, 3 mbps or about 2.1 after protocol overheads take their cut. Wi-fi on the other hand, maxes out anywhere from 54 to 1300+ mbps depending on whether you have “g”, “n”, or “ac” wi-fi plus any enhancements in the adaptors and router support. A general rule of thumb in home networking says that wi-fi routers operating on the traditional 2.4 ghz band reach up to 150 feet (46 m) indoors and 300 feet (92 m) outdoors. Older 802.11a routers that ran on 5 ghz bands reached approximately one-third of these distances.
A piconet is a network of devices connected using Bluetooth technology. The network ranges from two to eight connected devices. When a network is established, one device takes the role of the master while all the other devices act as slaves. Piconet gets its name from the word “pico”, which means very small. This very small network is so called because the number is limited to seven devices, plus the master, which limits network and data sharing capability. Data transfer rates vary from 200 to 2,100 kbps at the application. A piconet is sometimes called a personal area network (pan) because the range of optimal operation for Bluetooth is 10 meters, about the size of a living room.
The number of devices that can be paired is practically unlimited—as long as you have enough storage for every device's mac address and link key. In a piconet, one master can actively communicate with seven other devices (limited by a 3-bit address), and up to 255 devices can be part of the piconet but inactive (“parked”).
Bluetooth communications are not limited to building piconets, however. More often the connection is between exactly two devices (for example, file transfers between two phones). In this case, since the full 48-bit mac address is used, the master could juggle many such connections at once, within hardware limitations. Another possibility is a scatternet, where multiple piconets are linked by a shared device. Historically, there have been few actual implementations of scatternets due to limitations of Bluetooth and the mac address protocol.
Zigbee is another wireless networking specification with less restrictive limits and more efficient power use: Because ZigBee nodes can go from sleep to active mode in 30 msec or less, the latency can be low and devices can be responsive, particularly compared to Bluetooth wake-up delays, which are typically around three seconds. Because ZigBee nodes can sleep most of the time, average power consumption can be low, resulting in long battery life.
Wi-Fi Direct, initially called Wi-Fi P2P, is a Wi-Fi standard enabling devices to easily connect with each other without requiring a wireless access point. Wi-Fi Direct allows two devices to establish a direct Wi-Fi connection without requiring a wireless router. Hence, Wi-Fi Direct is single radio hop communication, not multihop wireless communication, unlike wireless ad hoc networks and mobile ad hoc networks. Wi-Fi ad hoc mode, however, supports multi-hop radio communications, with intermediate Wi-Fi nodes as packet relays. Wi-Fi becomes a way of communicating wirelessly, much like Bluetooth. It is useful for everything from internet browsing to file transfer, and to communicate with one or more devices simultaneously at typical Wi-Fi speeds. One advantage of Wi-Fi Direct is the ability to connect devices even if they are from different manufacturers. Only one of the Wi-Fi devices needs to be compliant with Wi-Fi Direct to establish a peer-to-peer connection that transfers data directly between them with greatly reduced setup. Wi-Fi Direct negotiates the link with a Wi-Fi Protected Setup system that assigns each device a limited wireless access point. The “pairing” of Wi-Fi Direct devices can be set up to require the proximity of a near field communication, a Bluetooth signal, or a button press on one or all the devices.
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An image of the face of the second user 12-2 of the second mobile device 20-2 is designated. This may be accomplished by capturing 1702 a face image of the second user 12-2, for example using the front facing camera of the second mobile device 20-2. It may also be accomplished through allowing the second user 12-2 to select an existing image. This may be an image already stored on the second mobile device 20-2, or it may be an image retrieved over a network. This may also be an image used by the second mobile device 20-2 to allow the second user 12-2 to authenticate on the second mobile device 20-2.
Facial information is determined and/or obtained 1704 for the identified face image of the second user 12-2. The facial information may be represented as a template or other representation. The face Information may include information such as that shown in face information 704.
Identity information is obtained 1706 at the second mobile device 20-2. The Identity Information may be obtained from information already stored and/or cached at the second mobile device 20-2, may be retrieved from a remote device, or may be received via user input from the second user 12-2.
The identity information may include information such as that shown in identity information 726.
Communication preference Information is obtained 1708 at the second mobile device 20-2. The communication preference Information may be obtained from information already stored and/or cached at the second mobile device 20-2, may be retrieved from a remote device, or may be received via user input from the second user 12-2. The communication preference Information may include information such as that shown in communication preferences 734.
Location Information is obtained 1710 at the device. The Location Information may be obtained from information already stored and/or cached at the second mobile device 20-2, may be retrieved from a remote device, or may be received via user input from the second user 12-2. The Location information may include information such as that shown in location information 710.
The from the second user 12-2 advertises 1712 its presence with a service type and discovery information. The discovery information includes information such as that shown in the peer dictionary 700. The peer dictionary 700 includes information such as face information 704, location information 710, identity information 728, and communication preferences 734. The location information 710, identity information 728, and communication preferences 734 are optional in some implementations.
The advertisement signaling is repeated on a periodic basis to account for the fact that other devices 20 may be coming into range as time progresses.
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The first mobile device 20-1 browses 1714 for second devices advertising with a service type matching its desired service type. In this context, browsing means that the device is monitoring certain networking addresses and ports for the transmission of packets containing the advertisement announcement.
Whenever an advertisement announcement is discovered 1716 matching the desired service type, the discovery information included in the advertisement announcement is read into memory.
The discovery information may be stored 1718 for later access.
The first mobile device 20-1 is operable to take images using a capture subsystem. During this process, the image data appearing on the ADC may be received 1720.
The received viewfinder image may be displayed 1722. In some embodiments, the viewfinder image is updated in real time to facilitate real-time feedback and framing of an image to capture. In some embodiments, the viewfinder image is of lower resolution than that of an image designated for capture by the first user 12-1.
Face matching 1724 may be accomplished using a face comparison module that performs a face comparison between a subject face received from a first user 12-1 and a face appearing in an image and returning a match indicator if the match confidence is greater than or equal to a match threshold.
Faces occurring in the viewfinder image may be matched with the face information 704 received in the peer dictionary 700 found in the advertisement announcements from other mobile devices 20. When any of those faces are determined to be a match, the matching faces will be highlighted in the viewfinder image. In some embodiments, those faces determined to be a match may be augmented 1726 with identity information 728 from the peer dictionary 700.
Once framing of an image is complete, the first user may trigger the capturing of the image (a captured image) to designate 1728 an image. In other modes of operation, an image may be designated 1728 by receiving input from the first user and designating it from previously captured images or other images stored on the device. In one aspect, the designating of the image flows from the capture event, and the designation of the image is automatic and passive, requiring no other inputs from the user other than triggering the capture event. In another aspect, the first user may be prompted, based on a preference, and require that the first user approve the sending of the captured image.
The captured image is associated with information identifying the mobile devices that were in the proximity of the first mobile device 20-1 at the time of designation for later use by the peer evaluator 800. This information is stored 1730 at the first mobile device 20-1 in the peer list 312.
The face matching process is performed 1731 again to determine subject faces of second users of second mobile devices 20-2 from among the peer list 312 maintained on the first mobile device 20-1.
For those second mobile devices 20 for which the second users 12 face appears in the designated image, an invitation 1732 is sent to the second mobile device 20-2.
For those second mobile device 20-2 that accept the invitation, an invitation acceptance 1734 message is sent, and a communication session is created.
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For each of the second mobile devices 20-2 associated with the image, the first mobile device 20-1 sends the image message for the designated image.
In some embodiments, the first mobile device 20-1 will send the designated image to an exchange server using an Internet connection. This may provide backup of the image and allow for distribution to second mobile devices 20-2 that may leave the network range of the first mobile device 20-1.
The image message may include one or more of the designated images, a thumbnail of the designated image, an identifier for the designated image and an identifier for the thumbnail of the designated image. The image identifiers allow for later retrieval of the designated image and the thumbnail of the designated image. The identifiers are globally unique identifiers (GUID). In some embodiments, the GUID is generated from time and one or more of the MAC addresses and the processor serial number.
Once the second mobile device 20-2 is ready to receive the designated image, the second mobile device 20-2 may send a request for the image to the first mobile device 20-1. The request will include the image identifier indicating the image desired. In other scenarios, the second device may operate on a group of designated images.
Upon receiving the request from the second mobile device 20-2, the first mobile device 20-1 sends to the second mobile device 20-2 the requested image. If the first mobile device 20-1 no longer has the designated image, an error code is returned. The image may no longer be available because the first mobile device 20-1 may have deleted it, or the first mobile device 20-1 is no longer in network range. In the case where the first mobile device 20-1 is no longer in network reach, an exchange server may be used.
In the situation where the first mobile device 20-1 is no longer in network range, the second mobile device 20-1 may send one or more image identifiers to the exchange server to retrieve the one or more images.
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A notification is sent 1742 from the first mobile device 20-1 to the second mobile device 20-2 that an image has been captured. The notification may include thumbnail of image, unique image identifier, sender identity, or combinations thereof.
A request is received 1744 by the first mobile device 20-1 from the second mobile device 20-2. The first mobile device 20-1 waits 1745 until public network connectivity is re-established. If public network connectivity is already present, then flow proceeds immediately.
The image is sent 1746 to the server device 60 from the first mobile device 20-1. The transmission may include image may include unique image identifier, sender identity, or combinations thereof.
The image is stored 1748 at the server device 60 along with the notification address of the second mobile device 20-2. When the second mobile device 20-2 is once again in range of a public network, a notification may be delivered 1750 to the second mobile device 20-2 providing a retrieval address that may be used to request and receive the image from the server device 60. The retrieval of the image may be automatic, on a periodic basis or on demand or some other sequence. The second mobile device 20-2 may send 1752 a request for the previously captured image. The image may be delivered 1754 to the second mobile device 20-2 over the public network. The image may be stored 1756 at the second mobile device 20-2.
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A second comparison is performed to determine 1806 if the position of the face in the image 1004 matches the physical location of the peer 1002. This second probability is stored in the peer evaluation 1000 structure as the position match probability (PMP) 1014. this second comparison is further illustrated in
A third comparison is performed to determine 1807 if the orientation of the face and the image matches the orientation of the user taking the image. 1004 This third probability is stored in the peer evaluation 1000 structure as the orientation match probability (OMP) 1016. In some implementations, this third computation may also include the use of pitch, yaw, and roll information for the user capturing the image 1004. For example, if the altitude of the user appearing in the image is higher than the user capturing the image 1004, this should be reflected in the pitch, yaw, and roll information.
The final probability computation 1810 is performed to determine the match score 1006. This match score 1006 is determined as the products of the probability weights multiplied by the individual probabilities according to Equation 1. If the match score 1006 is greater than or equal to 1812 the match threshold 1008 value then the notification flag 1010 is set to true and a notification is sent to the mobile device 20. This loop 1812 (steps 1802-1822) is repeated until all peers 1002 have been evaluated 1826.
The user 12-1 of the first mobile device (the capturing mobile device) 20-1 is aiming said device towards another group of three users 12:2-4 associated with corresponding mobile devices 20:2-4. The field of view 1906 seen by the capture system of the device 20-1 includes users 12:2-4 associated with corresponding mobile devices 20:2-4, but not users 12-6 and 12-8 associated with corresponding devices 20-6 and 20-8. For reference, a line perpendicular 1904 to the direction the camera is pointed is shown. The field of view 1906 seen by the first mobile device 20-1 shows that the three users 12:2-4 are all in the field of view 1906 while user 12-6 and 12-8 are outside the Field of View 1906. The physical limit of the reception for the Bluetooth signal 1910 is shown, and the physical limit of the reception for the WIFI signal 1908 is shown. It can be seen that user 12-6 is outside the reception area of the Bluetooth signal but within WIFI range. In some embodiments, the first mobile device 20-1 will use the information that the devices 20:2-4 are within the Field of View 1906 of capture, while the users 12-8 and 12-6 are outside the Field of View 1906 to increase or decrease the probability that the devices 20 correspond to users 12 appearing in the image.
In the description of
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The various modes of the advertiser view 2106 are shown in
The various modes of the incoming images view 2114 are shown in
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The table description text 3104 “Outgoing Images” displays the name of the table. Selecting the edit control 3106 “Edit” operates to display the view shown in
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The table description text 3204 “Incoming Images” displays the name of the table. Selecting the edit control 3206 “Edit” operates to display the view shown in
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In various embodiments, the machine 3300 comprises processors 3310, memory 3330, and I/O components 3350, which can be configured to communicate with each other via a bus 3302. In an example embodiment, the processors 3310 (e.g., a central processing unit (CPU), a reduced instruction set computing (RISC) processor, a complex instruction set computing (CISC) processor, a graphics processing unit (CPU), a digital signal processor (DSP), an application specific integrated circuit (ASIC), a radio-frequency integrated circuit (RFIC), another processor, or any suitable combination thereof) include, for example, a processor 3312 and a processor 3314 that may execute the instructions 3316. The term “processor” is intended to include multi-core processors 3310 that may comprise two or more independent processors 3312, 3314 (also referred to as “cores”) that can execute instructions 3316 contemporaneously. Although
The memory 3330 comprises a main memory 3332, a static memory 3334, and a storage unit 3336 accessible to the processors 3310 via the bus 3302, according to some embodiments. The storage unit 3336 can include a machine-readable medium 3338 on which are stored the instructions 3316 embodying any one or more of the methodologies or functions described herein. The instructions 3316 can also reside, completely or at least partially, within the main memory 3332, within the static memory 3334, within at least one of the processors 3310 (e.g., within the processor's cache memory), or any suitable combination thereof, during execution thereof by the machine 3300. Accordingly, in various embodiments, the main memory 3332, the static memory 3334, and the processors 3310 are considered machine-readable media 3338.
As used herein, the term “memory” refers to a machine-readable medium 3338 able to store data temporarily or permanently and may be taken to include, but not be limited to, random-access memory (RAM), read-only memory (ROM), buffer memory, flash memory, and cache memory. While the machine-readable medium 3338 is shown, in an example embodiment, to be a single medium, the term “machine-readable medium” should be taken to include a single medium or multiple media (e.g., a centralized or distributed database, or associated caches and servers) able to store the instructions 3316. The term “machine-readable medium” shall also be taken to include any medium, or combination of multiple media, that is capable of storing instructions (e.g., instructions 3316) for execution by a machine (e.g., machine 3300), such that the instructions 3316, when executed by one or more processors of the machine 3300 (e.g., processors 3310), cause the machine 3300 to perform any one or more of the methodologies described herein. Accordingly, a “machine-readable medium” refers to a single storage apparatus or device, as well as “cloud-based” storage systems or storage networks that include multiple storage apparatus or devices. The term “machine-readable medium” shall accordingly be taken to include, but not be limited to, one or more data repositories in the form of a solid-state memory (e.g., flash memory), an optical medium, a magnetic medium, other non-volatile memory (e.g., erasable programmable read-only memory (EPROM)), or any suitable combination thereof. The term “machine-readable medium” specifically excludes non-statutory signals per se.
The I/O components 3350 include a wide variety of components to receive input, provide output, produce output, transmit information, exchange information, capture measurements, and so on. In general, it will be appreciated that the I/O components 3350 can include many other components that are not shown in
In some further example embodiments, the I/O components 3350 include biometric components 3356, motion components 3358, environmental components 3360, position components 3362, among a wide array of other components. For example, the biometric components 3356 include components to detect expressions (e.g., hand expressions, facial expressions, vocal expressions, body gestures, or eye tracking), measure biosignals (e.g., blood pressure, heart rate, body temperature, perspiration, or brain waves), identify a person (e.g., voice identification, retinal identification, facial identification, fingerprint identification, or electroencephalogram based identification), and the like. The motion components 3358 include acceleration sensor components (e.g., accelerometer), gravitation sensor components, rotation sensor components (e.g., gyroscope), and so forth. The environmental components 3360 include, for example, illumination sensor components (e.g., photometer), temperature sensor components (e.g., one or more thermometers that detect ambient temperature), humidity sensor components, pressure sensor components (e.g., barometer), acoustic sensor components (e.g., one or more microphones that detect background noise), proximity sensor components (e.g., infrared sensors that detect nearby objects), gas sensor components (e.g., machine olfaction detection sensors, gas detection sensors to detect concentrations of hazardous gases for safety or to measure pollutants in the atmosphere), or other components that may provide indications, measurements, or signals corresponding to a surrounding physical environment. The position components 3362 include location sensor components (e.g., a Global Positioning System (GPS) receiver component), altitude sensor components (e.g., altimeters or barometers that detect air pressure from which altitude may be derived), orientation sensor components (e.g., magnetometers), and the like.
Communication can be implemented using a wide variety of technologies. The I/O components 3350 may include communication components 3364 operable to couple the machine 3300 to other device(s) 3370 and networks 3380 or via a coupling 3372 and a coupling 3382, respectively. For example, the communication components 3364 include a network interface component or another suitable device to interface with the network 3380. In further examples, communication components 3364 include wired communication components, wireless communication components, cellular communication components, near field communication (NFC) components, BLUETOOTH® components (e.g., BLUETOOTH® Low Energy), WI-FI® components, and other communication components to provide communication via other modalities. The devices 3370 may be another machine 3300 or any of a wide variety of peripheral devices (e.g., a peripheral device coupled via a Universal Serial Bus (USB)).
Moreover, in some embodiments, the communication components 3364 detect identifiers or include components operable to detect identifiers. For example, the communication components 3364 include radio frequency identification (RFID) tag reader components, NFC smart tag detection components, optical reader components (e.g., an optical sensor to detect one-dimensional bar codes such as a Universal Product Code (UPC) bar code, multi-dimensional bar codes such as a Quick Response (QR) code, Aztec Code, Data Matrix, Dataglyph, MaxiCode, PDF417, Ultra Code, Uniform Commercial Code Reduced Space Symbology (UCC RSS)-2D bar codes, and other optical codes), acoustic detection components (e.g., microphones to identify tagged audio signals), or any suitable combination thereof. In addition, a variety of information can be derived via the communication components 3364, such as location via Internet Protocol (IP) geo-location, location via WI-FI® signal triangulation, location via detecting a BLUETOOTH® or NFC beacon signal that may indicate a particular location, and so forth.
In various example embodiments, one or more portions of the network 3380 can be an ad hoc network, an intranet, an extranet, a virtual private network (VPN), a local area network (LAN), a wireless LAN (WLAN), a wide area network (WAN), a wireless WAN (WWAN), a metropolitan area network (MAN), the Internet, a portion of the Internet, a portion of the public switched telephone network (PSTN), a plain old telephone service (POTS) network, a cellular telephone network, a wireless network, a WI-FI® network, another type of network, or a combination of two or more such networks. For example, the network 3380 or a portion of the network 3380 may include a wireless or cellular network, and the coupling 3380 may be a Code Division Multiple Access (CDMA) connection, a Global System for Mobile communications (GSM) connection, or another type of cellular or wireless coupling. In this example, the coupling 3382 can implement any of a variety of types of data transfer technology, such as Single Carrier Radio Transmission Technology (1×RTT), Evolution-Data Optimized (EVDO) technology, General Packet Radio Service (GPRS) technology, Enhanced Data rates for GSM Evolution (EDGE) technology, third Generation Partnership Project (3GPP) including 3G, fourth generation wireless (4G) networks, Universal Mobile Telecommunications System (UMTS), High Speed Packet Access (HSPA), Worldwide Interoperability for Microwave Access (WiMAX), Long Term Evolution (LTE) standard, others defined by various standard-setting organizations, other long range protocols, or other data transfer technology.
In example embodiments, the instructions 3316 are transmitted or received over the network 3380 using a transmission medium via a network interface device (e.g., a network interface component included in the communication components 3364) and utilizing any one of a number of well-known transfer protocols (e.g., Hypertext Transfer Protocol (HTTP)). Similarly, in other example embodiments, the instructions 3316 are transmitted or received using a transmission medium via the coupling 3372 (e.g., a peer-to-peer coupling) to the devices 3370. The term “transmission medium” shall be taken to include any intangible medium that is capable of storing, encoding, or carrying the instructions 3316 for execution by the machine 3300, and includes digital or analog communications signals or other intangible media to facilitate communication of such software.
Furthermore, the machine-readable medium 3338 is non-transitory (not having any transitory signals) in that it does not embody a propagating signal. However, labeling the machine-readable medium 3338 “non-transitory” should not be construed to mean that the medium is incapable of movement; the medium 3338 should be considered as being transportable from one physical location to another. Additionally, since the machine-readable medium 3338 is tangible, the medium 3338 may be considered to be a machine-readable device.
In the embodiments described herein, the other devices 3370 may include the mobile device 20 and server device 60. The network 3380 may include the network 15.
In various implementations, the operating system 3404 manages hardware resources and provides common services. The operating system 3404 includes, for example, a kernel 3420, services 3422, and drivers 3424. The kernel 3420 acts as an abstraction layer between the hardware and the other software layers, consistent with some embodiments. For example, the kernel 3420 provides memory management, processor management (e.g., scheduling), component management, networking, and security settings, among other functionality. The services 3422 can provide other common services for the other software layers. The drivers 3424 are responsible for controlling or interfacing with the underlying hardware, according to some embodiments. For instance, the drivers 3424 can include display drivers, camera drivers, BLUETOOTH® or BLUETOOTH® Low Energy drivers, flash memory drivers, serial communication drivers (e.g., Universal Serial Bus (USB) drivers), WI-FI® drivers, audio drivers, power management drivers, and so forth. In some embodiments, the libraries 3406 provide a low-level common infrastructure utilized by the applications 3410. The libraries 3406 can include system libraries 3430 (e.g., C standard library) that can provide functions such as memory allocation functions, string manipulation functions, mathematic functions, and the like. In addition, the libraries 3406 can include API libraries 3432 such as media libraries (e.g., libraries to support presentation and manipulation of various media formats such as Moving Picture Experts Group-4 (MPEG4), Advanced Video Coding (H.264 or AVC), Moving Picture Experts Group Layer-3 (MP3), Advanced Audio Coding (AAC), Adaptive Multi-Rate (AMR) audio codec, Joint Photographic Experts Group (JPEG or JPG), or Portable Network Graphics (PNG)), graphics libraries (e.g., an OpenGL framework used to render in two dimensions (2D) and three dimensions (3D) in a graphic content on a display), database libraries (e.g., SQLite to provide various relational database functions), web libraries (e.g., WebKit to provide web browsing functionality), and the like. The libraries 3406 can also include a wide variety of other libraries 3434 to provide many other APIs to the applications 3410.
The frameworks 3408 provide a high-level common infrastructure that can be utilized by the applications 3410, according to some embodiments. For example, the frameworks 3408 provide various graphic user interface (GUI) functions, high-level resource management, high-level location services, and so forth. The frameworks 3408 can provide a broad spectrum of other APIs that can be utilized by the applications 3410, some of which may be specific to a particular operating system 3404 or platform.
According to some embodiments, the applications 3410 are programs that execute functions defined in the programs. Various programming languages can be employed to create one or more of the applications 3410, structured in a variety of manners, such as object-oriented programming languages (e.g., Objective-C, Java, or C++) or procedural programming languages (e.g., C or assembly language). In a specific example, the third-party application 3466 (e.g., an application 3410 developed using the ANDROID™ or IOS™ software development kit (SDK) by an entity other than the vendor of the particular platform) may be mobile software running on a mobile operating system such as IOS™, ANDROID™, WINDOWS® Phone, or another mobile operating system. In this example, the third-party application 3466 can invoke the API calls 3412 provided by the operating system 3404 to facilitate functionality described herein.
Referring now to
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The present disclosure is described with specificity to meet statutory requirements. However, the description itself is not intended to limit the scope of this patent. Rather, the inventors have contemplated that the claimed subject matter might also be embodied in other ways, to include different steps or elements similar to the ones described in this document, in conjunction with other present or future technologies. Moreover, although the term “step” may be used herein to connote different aspects of methods employed, the term should not be interpreted as implying any particular order among or between various steps herein disclosed unless and except when the order of individual steps is explicitly described.
Throughout this specification, like reference numbers signify the same elements throughout the description of the figures.
When elements are referred to as being “connected” or “coupled”, the elements can be directly connected or coupled together, or one or more intervening elements may also be present. In contrast, when elements are referred to as being “directly connected” or “directly coupled,” there are no intervening elements present.
The subject matter may be embodied as devices, systems, methods, and/or computer program products. Accordingly, some or all of the subject matter may be embodied in hardware and/or in software (including firmware, resident software, micro-code, state machines, gate arrays, etc.) Furthermore, the subject matter may take the form of a computer program product on a computer-usable or computer-readable storage medium having computer-usable or computer-readable program code embodied in the medium for use by or in connection with an instruction execution system. In the context of this document, a computer-usable or computer-readable medium may be any medium that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
The computer-usable or computer-readable medium may be for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, device, or propagation medium. By way of example, and not limitation, computer-readable media may comprise computer storage media and communication media.
Computer storage media is non-transitory and includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer-readable instructions, data structures, program modules, or other data. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage components, or any other medium which can be used to store the desired information and may be accessed by an instruction execution system. Note that the computer-usable or computer-readable medium can be paper or other suitable medium upon which the program is printed, as the program can be electronically captured via, for instance, optical scanning of the paper or other suitable medium, then compiled, interpreted, of otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
Communication media typically embodies computer-readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media. The term “modulated data signal” can be defined as a signal that has one or more of its characteristics set or changed in such a manner as to encode information in the signal. By way of example, and not limitation, communication media includes wired media such as a wired network or direct-wired connection, and wireless media such as acoustic, RF, infrared and other wireless media. Combinations of any of the above-mentioned should also be included within the scope of computer-readable media.
When the subject matter is embodied in the general context of computer-executable instructions, the embodiment may comprise program modules, executed by one or more systems, computers, or other devices. Generally, program modules include routines, programs, objects, components, data structures, and the like, that perform particular tasks or implement particular abstract data types. Typically, the functionality of the program modules may be combined or distributed as desired in various embodiments.
Recitation of ranges of values herein are merely intended to serve as a shorthand method of referring individually to each separate value falling within the range, unless otherwise indicated herein, and each separate value is incorporated into the specification as if it were individually recited herein. Therefore, any given numerical range shall include whole and fractions of numbers within the range. For example, the range “1 to 10” shall be interpreted to specifically include whole numbers between 1 and 10 (e.g., 1, 2, 3, . . . 9) and non-whole numbers (e.g., 1.1, 1.2, . . . 1.9).
Although process (or method) steps may be described or claimed in a particular sequential order, such processes may be configured to work in different orders. In other words, any sequence or order of steps that may be explicitly described or claimed does not necessarily indicate a requirement that the steps be performed in that order unless specifically indicated. Further, some steps may be performed simultaneously despite being described or implied as occurring non-simultaneously (e.g., because one step is described after the other step) unless specifically indicated. Where a process is described in an embodiment the process may operate without any user intervention.
Throughout this specification, plural instances may implement components, operations, or structures described as a single instance. Although individual operations of one or more methods are illustrated and described as separate operations, one or more of the individual operations may be performed concurrently, and nothing requires that the operations be performed in the order illustrated. Structures and functionality presented as separate components in example configurations may be implemented as a combined structure or component Similarly, structures and functionality presented as a single component may be implemented as separate components. These and other variations, modifications, additions, and improvements fall within the scope of the subject matter herein.
Although an overview of the inventive subject matter has been described with reference to specific example embodiments, various modifications and changes may be made to these embodiments without departing from the broader scope of embodiments of the present disclosure. Such embodiments of the inventive subject matter may be referred to herein, individually or collectively, by the term “invention” merely for convenience and without intending to voluntarily limit the scope of this application to any single disclosure or inventive concept if more than one is, in fact, disclosed.
The embodiments illustrated herein are described in sufficient detail to enable those skilled in the art to practice the teachings disclosed. Other embodiments may be used and derived therefrom, such that structural and logical substitutions and changes may be made without departing from the scope of this disclosure. The Detailed Description, therefore, is not to be taken in a limiting sense, and the scope of various embodiments is defined only by the appended claims, along with the full range of equivalents to which such claims are entitled.
The methodologies presented herein are described around the use of still image capture, but they are not restricted thereto. The same principles may be applied to the presentation of video clips captured at a location and should be considered within the scope of the present application.
Those skilled in the art will recognize improvements and modifications to the embodiments of the present disclosure. All such improvements and modifications are considered within the scope of the concepts disclosed herein and the claims that follow.
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