Systems and methods for adaptive switching between multiple content delivery networks during adaptive bitrate streaming

Information

  • Patent Grant
  • 10498795
  • Patent Number
    10,498,795
  • Date Filed
    Friday, February 17, 2017
    7 years ago
  • Date Issued
    Tuesday, December 3, 2019
    5 years ago
Abstract
Systems and methods for adaptive switching between multiple content delivery networks during adaptive bitrate streaming. In one embodiment, an adaptive content delivery network switching device includes a processor, a network interface, and a memory connected to the processor, where the memory contains a content delivery network switching application and, the content delivery network switching application directs the processor to receive content from a first content delivery network, determine a minimum performance threshold based on playback variables from the received content, receive new content from a second content delivery network if the minimum performance threshold is not satisfied.
Description
FIELD OF THE INVENTION

The present invention generally relates to adaptive bitrate streaming systems, and more particularly to adaptive switching between multiple content delivery networks when performing adaptive bitrate streaming.


BACKGROUND

A growing segment of Internet use is media streaming, which allows consumers to consume media content directly from the Internet, bypassing many traditional methods of delivery. Streaming media describes the playback of media on a playback device, where the media is stored on a server and is sent to the playback device over a network during playback. Typically, the playback device stores a sufficient quantity of media in a buffer at any given time during playback to prevent disruption of playback due to the playback device completing playback of all the buffered media prior to receipt of the next portion of media. Adaptive bitrate streaming or adaptive streaming involves detecting the present streaming conditions (e.g. the user's network bandwidth and CPU capacity) in real time and adjusting the bitrate of the streamed media accordingly. Typically, the source media is encoded at multiple bit rates and the playback device or client switches between streaming the different encodings depending on available resources.


Streams of content utilized in adaptive bitrate streaming systems are typically encoded at target bitrates. Target bitrates include an anticipated maximum bitrate that a user may obtain while streaming content. Streams are typically encoded in a non-uniform manner, but contain an average bitrate. Streams are also usually encoded where the stream has an average bitrate that approaches the maximum or target bitrate. These maximum bitrates therefore, are generally used to make stream switching decisions.


Streams utilized in adaptive bitrate streaming are typically segmented, which may include splitting the streams into short duration segments of equal duration in each of the alternative streams. The segments can be packaged in container files formatted in accordance with the requirements of the standards such as MPEG DASH or HLS. These segments can then be published to a HTTP server for distribution.


Recently, higher resolutions of video content are possible for viewing. “4K” content and televisions have become more commonplace in the consumer market. A 4K television contains four times the amount of pixels as a standard 1080P television set. Specifically, a 4K television has a resolution of 3,840×2,160 compared to the 1,920×1,080 resolution of 1080P sets.


Content delivery networks (CDNs) refer to a network of proxy severs deployed in different physical data centers at various points around the globe. A CDN can be utilized to provide increased performance and uptime for content delivery. This increased performance may be achieved by having multiple servers with copies of the same content across the globe. When a user attempts to access the content, a CDN that is physically closer or at least have a shorter digital route to take can deliver the content faster than a regular server farther away. In static streaming situations, this is ideal as the content that is streamed does not change. However, in live streaming situations, ideally latency is accounted for as the content is first encoded and then distributed to the CDN networks. Additionally, having multiple copies of the same content decreases the likelihood that content will be unavailable when one server goes offline or experiences heavy traffic that might otherwise impair the ability to deliver the content.


Content delivery networks are run by numerous companies including Akamai Technologies, Inc. of Cambridge Mass., and Amazon.com, Inc. of Seattle, Wash. CDN services can be hired by any company seeking to speed up and increase the uptime of their web offerings. Additionally, companies may utilize multiple CDNs to further increase their benefits.


SUMMARY OF THE INVENTION

Systems and methods for adaptive switching between multiple content delivery networks during adaptive bitrate streaming. In one embodiment, an adaptive content delivery network switching device includes a processor, a network interface, and a memory connected to the processor, where the memory contains a content delivery network switching application and, the content delivery network switching application directs the processor to receive content from a first content delivery network, determine a minimum performance threshold based on playback variables from the received content, receive new content from a second content delivery network if the minimum performance threshold is not satisfied.


In a further embodiment, the minimum performance threshold comprises satisfying a minimum buffer threshold.


In another embodiment, the buffer threshold is at least six seconds.


In a still further embodiment, the minimum performance threshold comprises satisfying a minimum playback bitrate threshold.


In still another embodiment, the minimum performance threshold is not satisfied if a HyperText Transfer Protocol (HTTP) 404 error is detected.


In a yet further embodiment, the minimum performance threshold is not satisfied if a HyperText Transfer Protocol (HTTP) error is detected.


In yet another embodiment, the new content received is at the same quality level.


In a further embodiment again, the content delivery network switching application further directs the processor to create a record of any content delivery network that encounters a HyperText Transfer Protocol (HTTP) error.


In another embodiment again, the content delivery network switching application further directs the processor to avoid receiving content from a second content delivery network from any content delivery network that is in the record of HyperText Transfer Protocol (HTTP) errors.


In a further additional embodiment, the memory also contains a media playback application that directs the processor to playback content.


In another additional embodiment, a method for adaptive content delivery network switching includes receiving content from a first content delivery network, determining a minimum performance threshold based on playback variables from the received content, receiving new content from a second content delivery network if the minimum performance threshold is not satisfied.





BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1 is a network diagram of an adaptive CDN switching system in accordance with an embodiment of the invention.



FIG. 2 conceptually illustrates a playback device in accordance with an embodiment of the invention.



FIG. 3 is a flow chart illustrating a process for adaptive CDN switching in accordance with an embodiment of the invention.



FIG. 4 is a flow chart illustrating a process for achieving an ideal video streaming level for use in adaptive CDN switching in accordance with an embodiment of the invention.



FIG. 5 is a flow chart illustrating a process for dealing with rebuffering problems in accordance with an embodiment of the invention.



FIG. 6 is a flow chart illustrating a process for achieving an optimal video level across multiple CDNs in accordance with an embodiment of the invention.



FIG. 7 is a flow chart illustrating a process for handling HTTP 404 errors across multiple CDNs in accordance with an embodiment of the invention.



FIG. 8 is a flow chart illustrating a process for handling HTTP errors across multiple CDNs in accordance with an embodiment of the invention.





DETAILED DESCRIPTION OF THE DRAWINGS

Turning now to the drawings, systems and methods for performing adaptive bitrate streaming involving adaptive switching between multiple content delivery networks in accordance with various embodiments of the invention are illustrated. In several embodiments, many pieces of content are made available for streaming on multiple content delivery networks. Traditionally, once a certain CDN provider was selected to stream content from, only that CDN provider was utilized for the duration of the streaming of that content by a specific playback device. Adaptive CDN switching systems in accordance with many embodiments of the invention utilize playback devices configured to switch between multiple CDN providers during a streaming session. In several embodiments, the goal of the adaptive CDN switching system is to increase the overall quality level of the content received by playback devices, and/or to avoid an interruption in service. In certain embodiments, an adaptive CDN switching system may be operated in a manner that best utilizes the available bandwidth for all playback devices, allowing for an increased number of playback devices on the system or for a higher quality of streaming experience for those playback devices already on the system.


Many current streaming systems employ adaptive bitrate streaming. Adaptive bitrate streaming decisions are typically based upon the relationship between the current available bandwidth (i.e. network capacity at the playback device) and the maximum bitrate utilized in the encoding of the content. Playback devices utilized within adaptive CDN switching systems in accordance with many of the embodiments of the invention utilize information about the content of the media in addition to the current available bandwidth and the maximum bitrate utilized in the encoding of the content to make stream switching decisions.


While much of the discussion that follows relates to systems and methods that utilize adaptive switching between multiple content delivery networks during the streaming of video content, similar techniques can be utilized to perform adaptive CDN switching for a variety of data including programs, audio, web pages and/or interactive content. Accordingly, adaptive CDN switching systems should not be considered as limited to performing adaptive CDN switching only of video content. Systems and methods for performing adaptive CDN switching of content in accordance with various embodiments of the invention are discussed further below.


Adaptive CDN Switching Systems


An adaptive CDN switching system in accordance with an embodiment of the invention is illustrated in FIG. 1. The adaptive CDN switching system 100 begins with content 101 that is to be made available for streaming. The transcoder 105 processes the content into alternative streams and delivers the processed content to a first content delivery network server 110 that is connected to a network 140. A second content delivery network server 120 and a third content delivery network server 130 may also be connected to the network 140 and receive alternative streams from the transcoder 105. Additionally, the system includes a variety of playback devices that can communicate with the various content delivery networks via the network including (but not limited to) personal computers 180, stand-alone playback devices 170, mobile phones 190, and personal computing devices 160, some of which may connect to the network 140 via a wireless access point 150.


The adaptive CDN switching system 100 includes a transcoder 105 that receives content 101 for processing into alternative streams. In certain embodiments, this process can be done on the fly for live streaming situations which require short segments of content to be transcoded and delivered to the CDN networks for immediate distribution. The adaptive CDN switching system 100 also includes a first CDN server 110 configured to deliver content. In many instances, media content (such as, but not limited to, video) is encoded at different maximum bitrates and segmented into smaller portions. In some embodiments, the segments are stored in a single file which may be accessed through byte-range requests. In other embodiments, each content segment is stored in a separate file. In a number of embodiments, the content segments are conceptual and are simply blocks of content within a content stream. In the illustrated embodiment, the first CDN server is an HTTP server. In other embodiments, the first CDN server can be any processing device with sufficient resources to perform the processing and delivery of source media (including, but not limited to, video, audio, quality analysis, and/or subtitles). A variety of playback devices can request segments of the content from the first CDN server based on the manifest via a network 140 such as the Internet.


In many embodiments, the adaptive CDN switching system 100 includes a second CDN server 120 and third CDN server 130 configured similarly to the first CDN server 110. In a number of embodiments, the first, second, and third CDN servers are operated by different companies. In certain embodiments, the first CDN server 110 is distinct from the second 120 and third CDN servers 130 and/or may be located in a different data center. As can readily be appreciated, the specific location and distribution of the CDN servers is largely dependent upon the requirements of a given application.


A playback device may decode and present content for viewing. As can readily be appreciated, certain devices may implement a playback client application to stream content. In a number of embodiments, a playback device streams content via a network 140. In many embodiments, a playback device requests segments of content from a first CDN server 110 as defined in a manifest or other URL. In many embodiments, analytic data about the system may be stored for future use. For example, adaptive CDN switching analytics may be used to create any number of switching recommendations, buffering decisions, and/or source content preprocessing tasks. In many embodiments, an adaptive CDN switching system accumulates data concerning content segments selected for playback and can relocate and/or rebalance content segments to provide content that is more likely to achieve a desired quality at a given observed network bandwidth. As can readily be appreciated, the use of data collected by a CDN server or adaptive CDN switching player is logically only limited by the requirement of a given application. In the illustrated embodiment, the playback devices are represented by particular devices, but may also include (but are not limited to) consumer electronics, DVD players, Blu-Ray players, televisions, video-game consoles, tablets, and other devices that are capable of connecting to a server and playing back content.


While a variety of adaptive CDN switching systems are described above with reference to FIG. 1, the specific components utilized within an adaptive CDN switching system and the manner in which CDNs are selected for streaming based upon achieving a target quality or user experience at a given network bandwidth and/or processing resources are largely dependent upon the requirements of specific applications. Adaptive CDN switching playback devices that can be utilized in adaptive CDN switching systems in accordance with various embodiments of the invention are discussed further below.


Adaptive CDN Switching Playback Devices


Many embodiments of the invention utilize CDN servers to deliver content segments to stream content under different playback conditions. Such systems rely upon a playback device that simply requests content indicated in a quality based manifest or in URLs based upon the measured playback conditions. In a number of embodiments, however, the playback device evaluates local playback conditions and searches out alternative CDN providers from which to download segments. These players then utilize the locally stored data regarding playback conditions and bandwidth conditions to determine the CDN from which to request subsequent content segments. These CDN switching decisions may be determined not only by requesting segments that achieve a certain bitrate, but can also be formatted to increase the overall performance of the network allowing for more users to access the content and/or to increase the selected quality of the content being streamed.


A playback device that can be utilized to perform adaptive CDN switching of content in accordance with an embodiment of the invention is illustrated in FIG. 2. Playback device 200 typically includes a processor 210, graphics sub-system 220, I/O device 230, mass storage 240, network interface 250, interconnect 260, and memory sub-system 270. The memory subsystem may contain an operating system 271, user interface 272, and playback module 280. Many embodiments of the invention include a playback device 200 which has a playback module 280 that further includes a CDN switching optimization application 281, a video level optimization application 282, and content streaming application 283. Certain embodiments of the invention may have a playback device 200 that receives content via an interface with a communication network including, (but not limited to), the Internet. Additionally, further embodiments of the invention can include a display device 202 connected to the playback device 200. Still further embodiments of the invention can include user I/O 201 interfacing with a playback device 200.


While a variety of playback device systems are described above with reference to FIG. 2, other playback devices incorporating any of a variety of hardware enabling downloading and playback of content segments across multiple CDNs in accordance with any of a number of different processes for selecting the content segments across multiple CDNs can be utilized as appropriate to the requirements of specific applications in accordance with various embodiments of the invention. For example, in certain embodiments, a home gateway or other edge network device may select the content delivery network for streaming based on each client's capabilities, characteristics, local bandwidth, and requirements. Processes that can be utilized by playback devices to provide adaptive CDN switching of content in accordance with a number of embodiments of the invention are explored below.


Adaptive CDN Switching Processes


At a high level, processes for performing adaptive CDN switching involve connecting to a first CDN provider for streaming content, playing back the content and evaluating local playback conditions, determining a desired playback level, examining conditions necessary to explore switching to another CDN provider, and conducting that search should the conditions be met. Should an alternative CDN provider be found that can deliver the necessary content with better performance, continued streaming can then be affected through the alternative CDN instead of the first CDN. In many embodiments, conditions necessary to begin an alternative CDN search may include, but are not limited to, bandwidth of the first CDN, time spent streaming at the desired playback level, load balancing concerns, frequency of use, and/or rebuffering conditions. A process for performing adaptive CDN switching in accordance with an embodiment of an invention is shown in FIG. 3.


The process 300 may include determining (302) a default CDN from which to begin (304) streaming content. In many embodiments, the default CDN could be provided as a first URL in the manifest sent by the server or could be explicitly signaled to the optimal CDN by the server hosting the manifest. Determining (306) of playback variables may occur during streaming. These playback variables may include, but are not limited to, playback position, buffer duration, and/or bitrate estimation. Using playback variables, the player may determine (308) a desired playback level of the streamed content. In certain embodiments, the playback level may be determined by the current buffer duration and available bitrate estimate. During playback, the adaptive CDN switching player may evaluate (310) switching conditions which may require a search of alternative CDN providers to occur. When conditions are sufficient, the player may switch (312) CDN providers for increased performance.


Although specific processes are described above for performing adaptive CDN switching with reference to FIG. 3, any of a variety of processes for performing adaptive CDN switching can be utilized as appropriate to the requirements of specific applications in accordance with various embodiments of the invention. For example, a number of embodiments of the invention include customer driven selection of CDN providers that may include, but are not limited to, premium CDN selection for customers who pay for an increased level of service. The manner in which bitrate switching for desired playback is accomplished in adaptive CDN switching systems in accordance with several embodiments of the invention is discussed further below.


Processes for Achieving a Desired Playback Bitrate Level


A video level performance application can be utilized to evaluate and adjust the video bitrate level of streamed content during playback. As conditions change in the playback environment, decisions as to what quality or bitrate streamed content is being requested may need to be adjusted.


A process for evaluating the performance of streamed content in accordance with an embodiment of an invention is shown in FIG. 4. The process 400 may begin with downloading (402) at least one segment of content from a CDN provider. Downloaded content may be loaded into a buffer for playback. A determination (406) of the duration of this buffer may occur. Previously downloaded content may be evaluated for the generation (406) of a bitrate estimate. For example, in a number of embodiments, the bitrate estimation may be obtained based on the previous four seconds of downloaded content. The process 400 may then determine (408) a current video level. In many embodiments, this current video level may be determined from local playback conditions including, but not limited to, metadata present in the current streamed content segments, buffer duration and current bitrate estimate. The process 400 may also determine (410) an efficient video level based on all available data. In many embodiments, this data may include, but is not limited to, the current bitrate estimate. In certain embodiments, the determination (410) of an efficient video level may result in, but is not limited to, a higher bitrate of streamed content being sought for better quality, or a lower bitrate stream being sought to avoid running out of buffered material resulting in playback interruption. A comparison (412) may occur between the current video level and what the efficient video level would be. This comparison (412) may be achieved in a number of ways including, but not limited to, the evaluation of bitrates observed in the current bitrate estimate and bitrate estimates of other efficient video levels. Based upon this comparison (412), the video level performance application may switch (414) to a lower bitrate content stream, switch (416) to a higher bitrate content stream, or skip directly to evaluating (420) for other playback problems that may be present. In many embodiments, switching (414) to a lower bitrate content stream may be desired to avoid the current buffer from running out (underflowing) before downloading the next segment of content. In a number of embodiments, switching (416) to a higher bitrate content stream may only be allowed if some arbitrary duration of content (e.g. six seconds of content) can be downloaded before the buffer runs out to ensure a conservative approach to switching and avoiding rebuffering events. The process 400 may also evaluate (418) any other types of playback problems that may occur when achieving a desired bitrate level. These playback problems may include, but are not limited to, rebuffering problems, streaming content not playing at optimized levels, HTTP 404 errors, or other HTTP errors that may result in a disrupted playback experience. The process 400 may then evaluate (420) the content to determine if the downloaded segment is the last in the stream. If it is not, in many of the embodiments, the process 400 then begins again and downloads (402) the next segment of content from the CDN.


Although specific processes related to video level performance in adaptive CDN switching systems are described above with reference to FIG. 4, any of a variety of processes can be utilized for improving the performance of video levels for use in adaptive CDN switching in accordance with various embodiments of the invention. An example of a process of handling playback problems such as buffering that can be utilized during adaptive CDN switching in accordance with various embodiments of the invention is discussed further below.


Handling Buffering Problems in Adaptive CDN Switching Systems


One of the issues that may arise when streaming content is playback interruption. Playback interruption can occur from a number of factors including a depletion of the playback buffer. To avoid this, in many embodiments the video level can be switched to a lower level to allow for downloading of more content over the available bandwidth. In further embodiments, the amount of content in the buffer is routinely checked against the available bandwidth and bitrate estimates to better gauge if a playback interruption is likely to occur. In instances where a playback error may appear to be imminent, many embodiments of the invention may search alternative CDN providers in an attempt to find the necessary content segments. In a number of embodiments, the video bitrate level sought at alternative CDN providers is equal to the current video bitrate level in order to ensure a smooth transition between segments without the user noticing the switch.


A process for handling buffer problems for use in an adaptive CDN switching system in accordance with an embodiment of an invention is shown in FIG. 5. The process 500 determines (502) if the proper rebuffering conditions have been met. In some embodiments, these rebuffering conditions can include, but are not limited to, determining that the current video bitrate level is at the lowest bitrate level (verifying that the content needed to avoid rebuffering issues is not already available at the current CDN provider), and that the playback duration of the buffered content itself is below a pre-set threshold. In further embodiments, the threshold of the buffered content required to avoid a rebuffering problem is set to a static threshold (e.g. six seconds). In other embodiments, any of a variety of alternative thresholds and/or requirements related to the status of a playback device can be utilized to initiate a search of alternative CDN providers during an adaptive bitrate streaming session as appropriate to the requirements of a given application. When met, a search (504) of alternative CDN providers may occur. If available, content from the alternative CDN providers is downloaded (506). In a number of embodiments, only different segments from the currently downloaded segments are sought at the alternative CDNs to enable the buffers to be filled with valid data, thereby improving the chances of avoiding a buffer underflow. Measurement (508) of the bandwidth between the current and alternative CDN providers may occur. In a number of embodiments, the bandwidth probes may download a sufficient amount of data to provide an accurate measurement. In certain embodiments, the amount of data required may be two seconds worth of video data. As can readily be appreciated, the amount of data can correspond to any duration of content appropriate to the requirements of a given application. The process 500 may then determine (510) the CDN provider with the highest bandwidth available for download of remaining segments of content. The adaptive CDN switching system may then switch (512) CDN providers to increase the buffer duration as needed.


Although specific processes related to handling buffer problems in adaptive CDN switching systems are described above with reference to FIG. 5, any of a variety of processes can be utilized for handling buffer problems to avoid playback errors in accordance with various embodiments of the invention. An example of a process for handling playback problems such as enhancing the content bitrate level that can be utilized during adaptive CDN switching in accordance with various embodiments of the invention is discussed further below.


Enhancing Content Bitrate Levels in Adaptive CDN Switching Systems.


In typical streaming applications, only a single CDN, is taken into account when determining and selecting which segments of content to stream. However, this method does not take into account the possible availability of higher quality or faster accessed content available on other CDN provider systems. An adaptive CDN switching system can be utilized to increase the quality of streamed content by accessing segments of content in alternative CDN systems that provide a higher bandwidth to the user.


A process for increasing content bitrate levels for use in adaptive CDN switching systems in accordance with an embodiment of an invention is shown in FIG. 6. The process 600 may determine (602) the highest bitrate level of the available content is available for downloading. An evaluation (604) may be done of certain conditions to determine if an alternative CDN search should occur. In certain embodiments of the invention, these conditions may include, but are not limited to, a necessary duration since the highest bitrate streaming occurred, as well as having a sufficient amount of buffer. If the conditions are met, a search (606) for alternative CDN providers may occur. Content segments may then be downloaded (608) from the alternative CDN provider. In a number of embodiments, the bitrate level of content downloaded is the same as the current bitrate level of the content downloaded from the current CDN to avoid a noticeable switch between content downloaded from the current CDN to the alternative CDN. The process 600 may then evaluate (610) the instantaneous bandwidths of the content downloaded from the alternative CDN providers against the bandwidth being provided from the current CDN provider. If necessary, a switch (612) to the alternative CDN provider may occur to enable downloading of content encoded at a higher bitrate level, which can translate into content that is of a higher perceived quality when downloaded and played back by the playback device.


Although specific processes related to enhancing bitrate download performance in adaptive CDN switching systems are described above with reference to FIG. 6, any of a variety of processes can be utilized for increasing bitrate levels to increase playback quality in accordance with various embodiments of the invention. An example of a process of handling playback problems such as HTTP 404 errors that can be utilized during adaptive CDN switching in accordance with various embodiments of the invention is discussed further below.


Process for Handling HTTP 404 Errors in Adaptive CDN Switching Systems


A HyperText Transfer Protocol (HTTP) 404 error occurs when a piece of data requested is not available. When downloading multiple segments of streaming content, many requests to download are sent out via HTTP. HTTP 404 errors are significant as they can directly lead to the interruption of playback. When encountering a HTTP 404 error, the request for the content may be sent again to verify the error. Additionally, requests may be sent for different bitrates of the same segment of content, or to different servers on the same content delivery network. However, in cases where the requested content is simply not available on the CDN, HTTP 404 errors cannot be avoided. In many embodiments, adaptive CDN switching systems may allow for handling of HTTP 404 errors by searching out for the same content on alternative CDN providers, allowing for the continuation of uninterrupted playback.


A process for handling HTTP 404 errors for use in an adaptive CDN switching system in accordance with an embodiment of the invention is show in FIG. 7. When the adaptive CDN switching system receives (702) a HTTP 404 error, an evaluation (704) is done to determine if a sufficient amount of buffer exists compared to a pre-set threshold. In many embodiments, this pre-set threshold may be a minimum buffer time required and may be set at a static value (e.g. six seconds) or a dynamic value that varies based upon playback conditions including (but not limited to) the state of the playback device and/or the bitrate level of currently streamed content. If the buffer is sufficient, the process 700 may then retry (706) to download the content again at the same bitrate video level. If the buffer in not sufficient, then the process 700 may attempt (708) to download the content encoded at a lower bitrate level. After either retry (706) or attempt (708), an evaluation (710) is made to determine if the download was successful. If the download (712) is available from the current CDN, then no CDN switching is necessary. However, if the download (712) is not available from any available server on the CDN, a search (714) may occur for alternative CDN providers. The process 700 may then download (716) content from the alternative CDN to avoid playback interruptions. In a number of embodiments, the download from an alternative CDN provider is done at the lowest bitrate level to ensure the quickest possible recovery from the HTTP 404 error. An evaluation is made to determine if the download (718) was available from any other CDN. If no CDNs are able to provide the necessary content, playback moves (720) to the next segment. If the download (718) was available from multiple CDN sources, then the process 700 may select (722) the CDN provider with the higher bandwidth. The selection (724) of the optimal content bitrate level may then occur to maximize playback conditions.


Although specific processes related to handling HTTP 404 errors in adaptive CDN switching systems are described above with reference to FIG. 7, any of a variety of processes can be utilized for handling unavailable content to decrease playback interruptions in accordance with various embodiments of the invention. An example of a process of handling playback problems involving other HTTP errors that can be utilized during adaptive CDN switching in accordance with various embodiments of the invention is discussed further below.


Process for Handling Other HTTP Errors in Adaptive CDN Switching Systems


Other HTTP errors may occur when a piece of data is requested via HTTP. Examples of these types of errors include, but are not limited to, server disconnects, and server unavailable errors. HTTP errors of this nature tend to lead to playback interruptions on traditional systems. However, on adaptive CDN switching systems, the unavailable content may be sought on another CDN system, allowing for uninterrupted playback.


A process for handling HTTP errors for use in an adaptive CDN switching system in accordance with an embodiment of the invention is show in FIG. 8. When the adaptive CDN switching system receives (802) an HTTP error, an evaluation (804) is done against a list of known CDN providers to determine if any alternative CDN providers are still available for downloading the necessary content. In certain embodiments, this step may include the removal of the CDN provider that is experiencing HTTP errors. A search (806) may then be conducted for any alternative CDN providers that are not experiencing HTTP errors. The process 800 may then evaluate (808) if the alternative CDN provider is available for downloading content. If the alternative CDN provider is not available, then that CDN may be removed (810) from the list of available content providers and the process re-evaluates (804) the list of CDNs available. If the CDN is available, the process 800 may then download (812) content from the alternative CDN provider. Successful downloads may then be evaluated (814) for their instantaneous bandwidth speeds. If multiple CDNs are available, the process 800 may select (816) the CDN provider with the highest available bandwidth. Once selected, the process 800 may determine (818) a higher bitrate of content level. In a number of embodiments, this bitrate level may be determined by the playback buffer duration amount.


In many embodiments, the adaptive CDN switching system playback device may keep a record of known CDNs and their historical statuses including, but not limited to, the amount of time a requested download may take and if the known CDNs were reachable. In this way, because of the time consuming nature of determining timeout and/or download errors, the adaptive switching systems may avoid selecting alternative CDNs that are known to be unreachable or unreliable. In a number of embodiments, these stored records are purged on a periodic basis. In certain embodiments, the stored records of known CDNs stored in the playback device may be transmitted to a server for further processing. In further embodiments of the invention, the URL request may include information about the geographic location and capabilities of the adaptive CDN switching system playback device. In still further embodiments, the playback device may receive a list of known CDNs from a central server. In yet still further embodiments, the server may evaluate the status of CDN systems based on the stored records transmitted from the adaptive CDN switching system playback device(s). These evaluations may include, but are not limited to, geographic areas and the playback device's capabilities. In yet still more embodiments, the server may filter CDNs provided in the manifests based on the evaluations made from the stored records transmitted from the adaptive CDN switching system playback devices. It should be appreciated by one skilled in the art that any of a variety of processes for generating top level index files based on geographic location can be utilized in adaptive CDN switching systems as appropriate to the requirements of the specific applications in accordance with embodiments of the invention including, but not limited to, the automatic generation of top level index files as disclosed in U.S. Pat. No. 8,787,570. The disclosure of U.S. Pat. No. 8,787,570 including the relevant disclosure related to the dynamic generation of top level index files is hereby incorporated by reference in its entirety.


Although specific processes related to handling HTTP errors in adaptive CDN switching systems are described above with reference to FIG. 7, any of a variety of processes can be utilized for handling network interruptions to decrease playback interruptions in accordance with various embodiments of the invention. An example of a process of handling playback problems involving other HTTP errors that can be utilized during adaptive CDN switching in accordance with various embodiments of the invention is discussed further below.


Although the present invention has been described in certain specific aspects, many additional modifications and variations would be apparent to those skilled in the art. It is therefore to be understood that the present invention may be practiced otherwise than specifically described, including various changes in the implementation, without departing from the scope and spirit of the present invention. Thus, embodiments of the present invention should be considered in all respects as illustrative and not restrictive.

Claims
  • 1. An adaptive content delivery network switching device comprising: a processor;a network interface; anda memory connected to the processor, where the memory contains a content delivery network switching application and a media playback application;wherein the content delivery network switching application directs the processor to: receive at the adaptive content delivery network switching device a manifest from a manifest server system describing a plurality of content delivery networks;determine using the adaptive content delivery network switching device a first content delivery network selected from the received manifest;receive at the adaptive content delivery network switching device content from the first content delivery network;evaluate using the adaptive content delivery network switching device if a performance threshold is being satisfied;select using the adaptive content delivery network switching device an alternative content delivery network from the received manifest;receive at the adaptive content delivery network switching device new content from the alternative content delivery network;evaluate using the adaptive content delivery network switching device a bandwidth for the first content delivery network and the alternative content delivery network; anddetermine at the adaptive content delivery network switching device further requests for new content from either the first content delivery network or the alternative content delivery network based upon the evaluated bandwidths and the performance threshold; andwherein the media playback application directs the processor to: play back the received content and the received new content using the adaptive content delivery network switching device.
  • 2. The adaptive content delivery network switching device of claim 1 wherein the performance threshold comprises satisfying a buffer threshold.
  • 3. The adaptive content delivery network switching device of claim 1 wherein the performance threshold is dynamically generated.
  • 4. The adaptive content delivery network switching device of claim 3 wherein the evaluation of the bandwidth for the first content delivery network and alternative content delivery network occur upon each dynamic generation of the minimum performance threshold.
  • 5. The adaptive content delivery network switching device of claim 1 wherein the performance threshold comprises satisfying a playback bitrate threshold.
  • 6. The adaptive content delivery network switching device of claim 1 wherein the performance threshold is not satisfied when a HyperText Transfer Protocol (HTTP) 404 error is detected.
  • 7. The adaptive content delivery network switching device of claim 1 wherein the performance threshold is not satisfied when a HyperText Transfer Protocol (HTTP) error is detected.
  • 8. The adaptive content delivery network switching device of claim 1 wherein the new content received is at the same quality level of the previously received content.
  • 9. The adaptive content delivery network switching device of claim 1 wherein the content delivery network switching application further directs the processor to create a record of any content delivery network that encounters a HyperText Transfer Protocol (HTTP) error.
  • 10. The adaptive content delivery network switching device of claim 9 wherein the content delivery network switching application further directs the processor to avoid receiving content from any content delivery network that is in the record of HyperText Transfer Protocol (HTTP) errors.
  • 11. A method for adaptive content delivery network switching comprising: receiving at a playback device a manifest from a manifest server system;determining using the playback device a first content delivery network from multiple specified content delivery networks in the manifest received from the manifest server system;receiving at the playback device content from a first content delivery network;evaluating using the playback device if a performance threshold for playback on the playback device is being satisfied;selecting using the playback device an alternative content delivery network from the received manifest;receiving at the playback device new content on the playback device from the alternative content delivery network;evaluating using the playback device a bandwidth on the playback device for the content received from the first content delivery network and the alternative content delivery network;determining using the playback device further requests for new content from either the first content delivery network or the alternative content delivery network based upon the evaluated bandwidths and the performance threshold; andplaying back the received content and the received new content using the playback device.
  • 12. The method of claim 11 wherein the performance threshold comprises satisfying a buffer threshold.
  • 13. The method of claim 12 wherein the buffer threshold is at least six seconds.
  • 14. The method of claim 11 wherein the performance threshold comprises satisfying a minimum playback bitrate threshold.
  • 15. The method of claim 11 wherein the performance threshold is not satisfied if a HyperText Transfer Protocol (HTTP) 404 error is detected.
  • 16. The method of claim 11 wherein the performance threshold is not satisfied if a HyperText Transfer Protocol (HTTP) error is detected.
  • 17. The method of claim 11 wherein the new content received is at the same quality level of the previously received content.
  • 18. The method of claim 11, further comprising recording any content delivery network that encounters a HyperText Transfer Protocol (HTTP) error.
  • 19. The method of claim 18, further comprising avoiding receiving content from a second content delivery network from any content delivery network that is in the record of HyperText Transfer Protocol (HTTP) errors.
  • 20. The method of claim 11 wherein the performance threshold is dynamically generated on the playback device.
  • 21. The method of claim 20 wherein the evaluation of the bandwidth for the first content delivery network and alternative content delivery network occur upon each dynamic generation of the performance threshold on the playback device.
US Referenced Citations (664)
Number Name Date Kind
4009331 Goldmark et al. Feb 1977 A
4694357 Rahman et al. Sep 1987 A
4802170 Trottier Jan 1989 A
4964069 Ely Oct 1990 A
5119474 Beitel et al. Jun 1992 A
5274758 Beitel et al. Dec 1993 A
5361332 Yoshida et al. Nov 1994 A
5396497 Veltman Mar 1995 A
5404436 Hamilton Apr 1995 A
5420801 Dockter et al. May 1995 A
5420974 Morris et al. May 1995 A
5471576 Yee Nov 1995 A
5479303 Suzuki et al. Dec 1995 A
5487167 Dinallo et al. Jan 1996 A
5502766 Boebert et al. Mar 1996 A
5509070 Schull Apr 1996 A
5533021 Branstad et al. Jul 1996 A
5537408 Branstad et al. Jul 1996 A
5539908 Chen et al. Jul 1996 A
5541662 Adams et al. Jul 1996 A
5583652 Ware Dec 1996 A
5589993 Naimpally et al. Dec 1996 A
5627936 Prasad May 1997 A
5633472 DeWitt et al. May 1997 A
5642171 Baumgartner et al. Jun 1997 A
5655117 Goldberg et al. Aug 1997 A
5664044 Ware Sep 1997 A
5675382 Bauchspies Oct 1997 A
5675511 Prasad et al. Oct 1997 A
5684542 Tsukagoshi Nov 1997 A
5715403 Stefik Feb 1998 A
5717816 Boyce et al. Feb 1998 A
5719786 Nelson et al. Feb 1998 A
5745643 Mishina Apr 1998 A
5751280 Abbott May 1998 A
5754648 Ryan et al. May 1998 A
5763800 Rossum et al. Jun 1998 A
5765164 Prasad et al. Jun 1998 A
5794018 Vrvilo et al. Aug 1998 A
5805700 Nardone et al. Sep 1998 A
5822524 Chen et al. Oct 1998 A
5828370 Moeller et al. Oct 1998 A
5841432 Carmel et al. Nov 1998 A
5844575 Reid Dec 1998 A
5848217 Tsukagoshi et al. Dec 1998 A
5867625 McLaren Feb 1999 A
5887110 Sakamoto et al. Mar 1999 A
5892900 Ginter et al. Apr 1999 A
5903261 Walsh et al. May 1999 A
5907597 Mark May 1999 A
5946446 Yanagihara Aug 1999 A
5956729 Goetz et al. Sep 1999 A
5959690 Toebes, VIII et al. Sep 1999 A
5999812 Himsworth Dec 1999 A
6031622 Ristow et al. Feb 2000 A
6038257 Brusewitz et al. Mar 2000 A
6044469 Horstmann Mar 2000 A
6046778 Nonomura et al. Apr 2000 A
6047100 McLaren Apr 2000 A
6058240 McLaren May 2000 A
6064794 McLaren et al. May 2000 A
6065050 DeMoney May 2000 A
6018611 Nogami et al. Jun 2000 A
6079566 Eleftheriadis et al. Jun 2000 A
6097877 Katayama et al. Aug 2000 A
6141754 Choy Oct 2000 A
6155840 Sallette Dec 2000 A
6169242 Fay et al. Jan 2001 B1
6175921 Rosen Jan 2001 B1
6192319 Simonson Feb 2001 B1
6195388 Choi et al. Feb 2001 B1
6204883 Tsukagoshi Mar 2001 B1
6222981 Rijckaert Apr 2001 B1
6282653 Berstis et al. Aug 2001 B1
6289450 Pensak et al. Sep 2001 B1
6292621 Tanaka et al. Sep 2001 B1
6308005 Ando et al. Oct 2001 B1
6330286 Lyons et al. Dec 2001 B1
6374144 Viviani et al. Apr 2002 B1
6389218 Gordon et al. May 2002 B2
6389473 Carmel et al. May 2002 B1
6395969 Fuhrer May 2002 B1
6397230 Carmel et al. May 2002 B1
6418270 Steenhof et al. Jul 2002 B1
6449719 Baker Sep 2002 B1
6466671 Maillard et al. Oct 2002 B1
6466733 Kim Oct 2002 B1
6510513 Danieli Jan 2003 B1
6510554 Gordon et al. Jan 2003 B1
6621979 Eerenberg et al. Sep 2003 B1
6625320 Nilsson et al. Sep 2003 B1
6658056 Duruöz et al. Dec 2003 B1
6665835 Gutfreund et al. Dec 2003 B1
6671408 Kaku Dec 2003 B1
6697568 Kaku Feb 2004 B1
6725281 Zintel et al. Apr 2004 B1
6771703 Oguz et al. Aug 2004 B1
6807306 Girgensohn et al. Oct 2004 B1
6810031 Hegde et al. Oct 2004 B1
6810389 Meyer Oct 2004 B1
6819394 Nomura et al. Nov 2004 B1
6850252 Hoffberg Feb 2005 B1
6856997 Lee et al. Feb 2005 B2
6859496 Boroczky et al. Feb 2005 B1
6917652 Lyu Jul 2005 B2
6944621 Collart Sep 2005 B1
6944629 Shioi et al. Sep 2005 B1
6956901 Boroczky et al. Oct 2005 B2
6965724 Boccon-Gibod et al. Nov 2005 B1
6965993 Baker Nov 2005 B2
6985588 Glick et al. Jan 2006 B1
6988144 Luken et al. Jan 2006 B1
7007170 Morten Feb 2006 B2
7023924 Keller et al. Apr 2006 B1
7043473 Rassool et al. May 2006 B1
7127155 Ando et al. Oct 2006 B2
7150045 Koelle et al. Dec 2006 B2
7151832 Fetkovich et al. Dec 2006 B1
7151833 Candelore et al. Dec 2006 B2
7165175 Kollmyer et al. Jan 2007 B1
7185363 Narin et al. Feb 2007 B1
7197234 Chatterton Mar 2007 B1
7209892 Galuten et al. Apr 2007 B1
7231132 Davenport Jun 2007 B1
7237061 Boic Jun 2007 B1
7242772 Tehranchi Jul 2007 B1
7328345 Morten et al. Feb 2008 B2
7330875 Parasnis et al. Feb 2008 B1
7340528 Noblecourt et al. Mar 2008 B2
7349886 Morten et al. Mar 2008 B2
7356143 Morten Apr 2008 B2
7356245 Belknap et al. Apr 2008 B2
7366788 Jones et al. Apr 2008 B2
7376831 Kollmyer et al. May 2008 B2
7406174 Palmer Jul 2008 B2
7421411 Kontio et al. Sep 2008 B2
7457359 Mabey et al. Nov 2008 B2
7472280 Giobbi Dec 2008 B2
7478325 Foehr Jan 2009 B2
7484103 Woo et al. Jan 2009 B2
7493018 Kim Feb 2009 B2
7499938 Collart Mar 2009 B2
7526450 Hughes et al. Apr 2009 B2
7594271 Zhuk et al. Sep 2009 B2
7610365 Kraft et al. Oct 2009 B1
7640435 Morten Dec 2009 B2
7689510 Lamkin et al. Mar 2010 B2
7720352 Belknap et al. May 2010 B2
7747853 Candelore et al. Jun 2010 B2
7761892 Ellis et al. Jul 2010 B2
7779097 Lamkin et al. Aug 2010 B2
7817608 Rassool et al. Oct 2010 B2
7869691 Kelly et al. Jan 2011 B2
7962942 Craner Jun 2011 B1
7974714 Hoffberg Jul 2011 B2
7991156 Miller Aug 2011 B1
8023562 Zheludkov et al. Sep 2011 B2
8046453 Olaiya Oct 2011 B2
8054880 Yu et al. Nov 2011 B2
8065708 Smyth et al. Nov 2011 B1
8069260 Speicher et al. Nov 2011 B2
8201264 Grab et al. Jun 2012 B2
8225061 Greenebaum Jul 2012 B2
8233768 Soroushian et al. Jul 2012 B2
8245124 Gupta Aug 2012 B1
8249168 Graves Aug 2012 B2
8261356 Choi et al. Sep 2012 B2
8265168 Masterson et al. Sep 2012 B1
8270473 Chen et al. Sep 2012 B2
8270819 Vannier Sep 2012 B2
8289338 Priyadarshi et al. Oct 2012 B2
8291460 Peacock Oct 2012 B1
8296434 Miller et al. Oct 2012 B1
8311111 Xu et al. Nov 2012 B2
8311115 Gu et al. Nov 2012 B2
8321556 Chatterjee et al. Nov 2012 B1
8386621 Park Feb 2013 B2
8401900 Cansler et al. Mar 2013 B2
8412841 Swaminathan et al. Apr 2013 B1
8452110 Shoham et al. May 2013 B2
8456380 Pagan Jun 2013 B2
8472792 Butt et al. Jun 2013 B2
8473630 Galligan Jun 2013 B1
8510303 Soroushian et al. Aug 2013 B2
8510404 Carmel et al. Aug 2013 B2
8515265 Kwon et al. Aug 2013 B2
8516529 Lajoie et al. Aug 2013 B2
8595378 Cohn et al. Nov 2013 B1
8606069 Okubo et al. Dec 2013 B2
8640166 Craner et al. Jan 2014 B1
8681866 Jia Mar 2014 B1
8726264 Allen et al. May 2014 B1
RE45052 Li Adam Jul 2014 E
8774609 Drake et al. Jul 2014 B2
8781122 Chan et al. Jul 2014 B2
8787570 Braness et al. Jul 2014 B2
8805109 Shoham et al. Aug 2014 B2
8806188 Braness et al. Aug 2014 B2
8843586 Pantos et al. Sep 2014 B2
8908984 Shoham et al. Dec 2014 B2
8909922 Kiefer et al. Dec 2014 B2
8914534 Braness et al. Dec 2014 B2
8914836 Shivadas et al. Dec 2014 B2
8918636 Kiefer Dec 2014 B2
8918908 Ziskind et al. Dec 2014 B2
8997161 Priyadarshi et al. Mar 2015 B2
8997254 Amidei et al. Mar 2015 B2
9014471 Shoham et al. Apr 2015 B2
9025659 Soroushian et al. May 2015 B2
9042670 Carmel et al. May 2015 B2
9094737 Shivadas et al. Jul 2015 B2
9191457 Van der Schaar Nov 2015 B2
9197685 Soroushian Nov 2015 B2
9210481 Braness et al. Dec 2015 B2
9247311 Kiefer Jan 2016 B2
9247312 Braness et al. Jan 2016 B2
9247317 Shivadas et al. Jan 2016 B2
9264475 Shivadas et al. Feb 2016 B2
9313510 Shivadas et al. Apr 2016 B2
9343112 Amidei et al. May 2016 B2
9344517 Shivadas et al. May 2016 B2
9391866 Martin Jul 2016 B1
9509742 Gordon Nov 2016 B2
9883204 Braness et al. Jan 2018 B2
20010030710 Werner Oct 2001 A1
20010036355 Kelly et al. Nov 2001 A1
20010046299 Wasilewski et al. Nov 2001 A1
20020026560 Jordan et al. Feb 2002 A1
20020034252 Owen et al. Mar 2002 A1
20020051494 Yamaguchi et al. May 2002 A1
20020057898 Normile May 2002 A1
20020059170 Vange et al. May 2002 A1
20020062313 Lee et al. May 2002 A1
20020076112 Devara Jun 2002 A1
20020087569 Fischer et al. Jul 2002 A1
20020091665 Beek et al. Jul 2002 A1
20020093571 Hyodo Jul 2002 A1
20020110193 Yoo et al. Aug 2002 A1
20020116481 Lee Aug 2002 A1
20020118953 Kim Aug 2002 A1
20020120934 Abrahams et al. Aug 2002 A1
20020136298 Anantharamu et al. Sep 2002 A1
20020143413 Fay et al. Oct 2002 A1
20020143547 Fay et al. Oct 2002 A1
20020147980 Satoda Oct 2002 A1
20020161462 Fay Oct 2002 A1
20020180929 Tseng et al. Dec 2002 A1
20020184159 Tadayon et al. Dec 2002 A1
20020191112 Akiyoshi et al. Dec 2002 A1
20020191959 Lin et al. Dec 2002 A1
20020191960 Fujinami et al. Dec 2002 A1
20030001964 Masukura et al. Jan 2003 A1
20030002578 Tsukagoshi et al. Jan 2003 A1
20030005442 Brodersen et al. Jan 2003 A1
20030021296 Wee et al. Jan 2003 A1
20030031178 Haeri Feb 2003 A1
20030035488 Barrau Feb 2003 A1
20030035545 Jiang Feb 2003 A1
20030035546 Jiang et al. Feb 2003 A1
20030041257 Wee et al. Feb 2003 A1
20030061305 Copley et al. Mar 2003 A1
20030061369 Aksu et al. Mar 2003 A1
20030065777 Mattila et al. Apr 2003 A1
20030078930 Surcouf et al. Apr 2003 A1
20030093799 Kauffman et al. May 2003 A1
20030123855 Okada et al. Jul 2003 A1
20030128296 Lee Jul 2003 A1
20030133506 Haneda Jul 2003 A1
20030152370 Otomo et al. Aug 2003 A1
20030163824 Gordon et al. Aug 2003 A1
20030165328 Grecia Sep 2003 A1
20030174844 Candelore Sep 2003 A1
20030185302 Abrams Oct 2003 A1
20030185542 McVeigh et al. Oct 2003 A1
20030206558 Parkkinen et al. Nov 2003 A1
20030216922 Gonzales et al. Nov 2003 A1
20030229900 Reisman Dec 2003 A1
20030231863 Eerenberg et al. Dec 2003 A1
20030231867 Gates et al. Dec 2003 A1
20030233464 Walpole et al. Dec 2003 A1
20030236836 Borthwick Dec 2003 A1
20030236907 Stewart et al. Dec 2003 A1
20040006701 Kresina Jan 2004 A1
20040021684 Millner Feb 2004 A1
20040024688 Bi et al. Feb 2004 A1
20040025180 Begeja et al. Feb 2004 A1
20040031058 Reisman Feb 2004 A1
20040039916 Aldis et al. Feb 2004 A1
20040047614 Green Mar 2004 A1
20040052501 Tam Mar 2004 A1
20040071453 Valderas Apr 2004 A1
20040081333 Grab et al. Apr 2004 A1
20040081434 Jung et al. Apr 2004 A1
20040088412 John et al. May 2004 A1
20040093618 Baldwin et al. May 2004 A1
20040105549 Suzuki et al. Jun 2004 A1
20040114687 Ferris et al. Jun 2004 A1
20040117347 Seo et al. Jun 2004 A1
20040136698 Mock Jul 2004 A1
20040139335 Diamand et al. Jul 2004 A1
20040143760 Alkove et al. Jul 2004 A1
20040146276 Ogawa Jul 2004 A1
20040158878 Ratnakar et al. Aug 2004 A1
20040184534 Wang Sep 2004 A1
20040202320 Amini et al. Oct 2004 A1
20040217971 Kim Nov 2004 A1
20040255115 DeMello et al. Dec 2004 A1
20040255236 Collart Dec 2004 A1
20050015797 Noblecourt et al. Jan 2005 A1
20050038826 Bae et al. Feb 2005 A1
20050055399 Savchuk Mar 2005 A1
20050055435 Gbadegesin et al. Mar 2005 A1
20050071280 Irwin et al. Mar 2005 A1
20050071469 McCollom et al. Mar 2005 A1
20050108320 Lord et al. May 2005 A1
20050114896 Hug May 2005 A1
20050149450 Stefik et al. Jul 2005 A1
20050180641 Clark Aug 2005 A1
20050183120 Jain et al. Aug 2005 A1
20050193070 Brown et al. Sep 2005 A1
20050193322 Lamkin et al. Sep 2005 A1
20050196147 Seo et al. Sep 2005 A1
20050204289 Mohammed et al. Sep 2005 A1
20050207442 Zoest et al. Sep 2005 A1
20050207578 Matsuyama et al. Sep 2005 A1
20050254508 Aksu et al. Nov 2005 A1
20050273695 Schnurr Dec 2005 A1
20050275656 Corbin et al. Dec 2005 A1
20060026294 Virdi et al. Feb 2006 A1
20060036549 Wu Feb 2006 A1
20060037057 Xu Feb 2006 A1
20060052095 Vazvan Mar 2006 A1
20060053080 Edmonson et al. Mar 2006 A1
20060064605 Giobbi Mar 2006 A1
20060078301 Ikeda et al. Apr 2006 A1
20060093320 Hallberg et al. May 2006 A1
20060120378 Usuki et al. Jun 2006 A1
20060129909 Butt et al. Jun 2006 A1
20060156330 Chiu Jul 2006 A1
20060168639 Gan et al. Jul 2006 A1
20060173887 Breitfeld et al. Aug 2006 A1
20060179239 Fluhr Aug 2006 A1
20060181965 Collart Aug 2006 A1
20060235880 Qian Oct 2006 A1
20060245727 Nakano et al. Nov 2006 A1
20060259588 Lerman et al. Nov 2006 A1
20060263056 Lin et al. Nov 2006 A1
20060267986 Bae Nov 2006 A1
20060274835 Hamilton et al. Dec 2006 A1
20060294164 Armangau et al. Dec 2006 A1
20070005333 Setiohardjo et al. Jan 2007 A1
20070031110 Rijckaert Feb 2007 A1
20070044010 Sull et al. Feb 2007 A1
20070047901 Ando et al. Mar 2007 A1
20070053513 Hoffberg Mar 2007 A1
20070058928 Naito et al. Mar 2007 A1
20070083617 Chakrabarti et al. Apr 2007 A1
20070086528 Mauchly et al. Apr 2007 A1
20070100757 Rhoads May 2007 A1
20070133603 Weaver Jun 2007 A1
20070136817 Nguyen Jun 2007 A1
20070140647 Kusunoki et al. Jun 2007 A1
20070154165 Hemmeryckz-Deleersnijder et al. Jul 2007 A1
20070168541 Gupta et al. Jul 2007 A1
20070168542 Gupta et al. Jul 2007 A1
20070174209 Fallon et al. Jul 2007 A1
20070178933 Nelson Aug 2007 A1
20070180125 Knowles et al. Aug 2007 A1
20070185982 Nakanowatari et al. Aug 2007 A1
20070192810 Pritchett et al. Aug 2007 A1
20070217339 Zhao Sep 2007 A1
20070217759 Dodd Sep 2007 A1
20070234391 Hunter et al. Oct 2007 A1
20070239839 Buday et al. Oct 2007 A1
20070255940 Ueno Nov 2007 A1
20070271317 Carmel et al. Nov 2007 A1
20070271385 Davis et al. Nov 2007 A1
20070274679 Yahata et al. Nov 2007 A1
20070277219 Toebes et al. Nov 2007 A1
20070277234 Bessonov et al. Nov 2007 A1
20070280298 Hearn et al. Dec 2007 A1
20070292107 Yahata et al. Dec 2007 A1
20070297422 Matsuo et al. Dec 2007 A1
20080005175 Bourke et al. Jan 2008 A1
20080008455 De Lange et al. Jan 2008 A1
20080043832 Barkley et al. Feb 2008 A1
20080066099 Brodersen et al. Mar 2008 A1
20080066181 Haveson et al. Mar 2008 A1
20080086456 Rasanen et al. Apr 2008 A1
20080086747 Rasanen et al. Apr 2008 A1
20080101466 Swenson et al. May 2008 A1
20080104633 Noblecourt et al. May 2008 A1
20080114891 Pereira May 2008 A1
20080120330 Reed et al. May 2008 A1
20080120342 Reed et al. May 2008 A1
20080120389 Bassali et al. May 2008 A1
20080126248 Lee et al. May 2008 A1
20080137541 Agarwal et al. Jun 2008 A1
20080137736 Richardson et al. Jun 2008 A1
20080151817 Fitchett Jun 2008 A1
20080155061 Afergan et al. Jun 2008 A1
20080172441 Speicher et al. Jul 2008 A1
20080187283 Takahashi Aug 2008 A1
20080192818 DiPietro et al. Aug 2008 A1
20080195664 Maharajh et al. Aug 2008 A1
20080195744 Bowra et al. Aug 2008 A1
20080205860 Holtman Aug 2008 A1
20080240144 Kruse et al. Oct 2008 A1
20080256105 Nogawa et al. Oct 2008 A1
20080260028 Lamy-Bergot et al. Oct 2008 A1
20080262824 Oslake Oct 2008 A1
20080263354 Beuque et al. Oct 2008 A1
20080279535 Hague et al. Nov 2008 A1
20080294453 Baird-Smith et al. Nov 2008 A1
20080298358 John et al. Dec 2008 A1
20080310454 Bellwood et al. Dec 2008 A1
20080310496 Fang Dec 2008 A1
20090031220 Tranchant et al. Jan 2009 A1
20090037959 Suh et al. Feb 2009 A1
20090048852 Burns et al. Feb 2009 A1
20090055546 Jung et al. Feb 2009 A1
20090060452 Chaudhri Mar 2009 A1
20090066839 Jung et al. Mar 2009 A1
20090097644 Haruki Apr 2009 A1
20090132599 Soroushian et al. May 2009 A1
20090132721 Soroushian et al. May 2009 A1
20090132824 Terada et al. May 2009 A1
20090136216 Soroushian et al. May 2009 A1
20090150557 Wormley et al. Jun 2009 A1
20090168795 Segel et al. Jul 2009 A1
20090169181 Priyadarshi et al. Jul 2009 A1
20090172167 Drai et al. Jul 2009 A1
20090172201 Carmel et al. Jul 2009 A1
20090178090 Oztaskent Jul 2009 A1
20090196139 Bates et al. Aug 2009 A1
20090201988 Gazier et al. Aug 2009 A1
20090217317 White et al. Aug 2009 A1
20090226148 Nesvadba et al. Sep 2009 A1
20090228395 Wegner et al. Sep 2009 A1
20090290706 Amini et al. Nov 2009 A1
20090290708 Schneider et al. Nov 2009 A1
20090293116 DeMello Nov 2009 A1
20090303241 Priyadarshi et al. Dec 2009 A1
20090307258 Priyadarshi et al. Dec 2009 A1
20090307267 Chen et al. Dec 2009 A1
20090310933 Lee Dec 2009 A1
20090313544 Wood et al. Dec 2009 A1
20090313564 Rottler et al. Dec 2009 A1
20090316783 Au et al. Dec 2009 A1
20090328124 Khouzam et al. Dec 2009 A1
20090328228 Schnell Dec 2009 A1
20100036954 Sakata et al. Feb 2010 A1
20100040351 Toma et al. Feb 2010 A1
20100057928 Kapoor et al. Mar 2010 A1
20100058405 Ramakrishnan et al. Mar 2010 A1
20100074324 Qian et al. Mar 2010 A1
20100074333 Au et al. Mar 2010 A1
20100083322 Rouse Apr 2010 A1
20100094969 Zuckerman et al. Apr 2010 A1
20100095121 Shetty et al. Apr 2010 A1
20100106968 Mori et al. Apr 2010 A1
20100107260 Orrell et al. Apr 2010 A1
20100111192 Graves May 2010 A1
20100138903 Medvinsky Jun 2010 A1
20100142917 Isaji Jun 2010 A1
20100158109 Dahlby et al. Jun 2010 A1
20100161825 Ronca et al. Jun 2010 A1
20100166060 Ezure et al. Jul 2010 A1
20100186092 Takechi et al. Jul 2010 A1
20100189183 Gu et al. Jul 2010 A1
20100228795 Hahn Sep 2010 A1
20100235472 Sood et al. Sep 2010 A1
20100250532 Soroushian et al. Sep 2010 A1
20100290761 Drake et al. Nov 2010 A1
20100299522 Khambete et al. Nov 2010 A1
20100306249 Hill et al. Dec 2010 A1
20100313225 Cholas et al. Dec 2010 A1
20100313226 Cholas et al. Dec 2010 A1
20100319014 Lockett et al. Dec 2010 A1
20100319017 Cook Dec 2010 A1
20100332595 Fullagar et al. Dec 2010 A1
20110002381 Yang et al. Jan 2011 A1
20110016225 Park et al. Jan 2011 A1
20110047209 Lindholm et al. Feb 2011 A1
20110055585 Lee Mar 2011 A1
20110060808 Martin et al. Mar 2011 A1
20110066673 Outlaw Mar 2011 A1
20110067057 Karaoguz et al. Mar 2011 A1
20110078440 Feng et al. Mar 2011 A1
20110080940 Bocharov Apr 2011 A1
20110082924 Gopalakrishnan Apr 2011 A1
20110096828 Chen et al. Apr 2011 A1
20110107379 Lajoie et al. May 2011 A1
20110116772 Kwon et al. May 2011 A1
20110126191 Hughes et al. May 2011 A1
20110129011 Cilli et al. Jun 2011 A1
20110135090 Chan et al. Jun 2011 A1
20110138018 Raveendran et al. Jun 2011 A1
20110142415 Rhyu Jun 2011 A1
20110145726 Wei et al. Jun 2011 A1
20110149753 Bapst et al. Jun 2011 A1
20110150100 Abadir Jun 2011 A1
20110153785 Minborg et al. Jun 2011 A1
20110153835 Rimac et al. Jun 2011 A1
20110184738 Kalisky et al. Jul 2011 A1
20110191439 Dazzi et al. Aug 2011 A1
20110191587 Tian et al. Aug 2011 A1
20110191803 Baldwin et al. Aug 2011 A1
20110197237 Turner Aug 2011 A1
20110197238 Li et al. Aug 2011 A1
20110213827 Kaspar et al. Sep 2011 A1
20110222786 Carmel et al. Sep 2011 A1
20110225302 Park et al. Sep 2011 A1
20110225315 Wexler et al. Sep 2011 A1
20110225417 Maharajh et al. Sep 2011 A1
20110239078 Luby et al. Sep 2011 A1
20110246657 Glow Oct 2011 A1
20110246659 Bouazizi Oct 2011 A1
20110252118 Pantos et al. Oct 2011 A1
20110264530 Santangelo et al. Oct 2011 A1
20110268178 Park et al. Nov 2011 A1
20110276695 Maldaner et al. Nov 2011 A1
20110283012 Melnyk Nov 2011 A1
20110291723 Hashimoto Dec 2011 A1
20110302319 Ha et al. Dec 2011 A1
20110305273 He et al. Dec 2011 A1
20110314176 Frojdh et al. Dec 2011 A1
20110314500 Gordon Dec 2011 A1
20120005368 Knittle et al. Jan 2012 A1
20120023251 Pyle et al. Jan 2012 A1
20120036365 Kyslov et al. Feb 2012 A1
20120036544 Chen et al. Feb 2012 A1
20120066360 Ghosh Mar 2012 A1
20120093214 Urbach Apr 2012 A1
20120114302 Randall May 2012 A1
20120124191 Lyon May 2012 A1
20120137336 Applegate et al. May 2012 A1
20120144117 Weare et al. Jun 2012 A1
20120144445 Bonta et al. Jun 2012 A1
20120166633 Baumback et al. Jun 2012 A1
20120170642 Braness et al. Jul 2012 A1
20120170643 Soroushian et al. Jul 2012 A1
20120170906 Soroushian et al. Jul 2012 A1
20120170915 Braness et al. Jul 2012 A1
20120173751 Braness et al. Jul 2012 A1
20120177101 van der Schaar Jul 2012 A1
20120179834 van der Schaar et al. Jul 2012 A1
20120201475 Carmel et al. Aug 2012 A1
20120201476 Carmel et al. Aug 2012 A1
20120233345 Hannuksela Sep 2012 A1
20120240176 Ma et al. Sep 2012 A1
20120254455 Adimatyam et al. Oct 2012 A1
20120260277 Kosciewicz Oct 2012 A1
20120263434 Wainner et al. Oct 2012 A1
20120265562 Daouk et al. Oct 2012 A1
20120278496 Hsu Nov 2012 A1
20120289147 Raleigh et al. Nov 2012 A1
20120294355 Holcomb et al. Nov 2012 A1
20120297039 Acuna et al. Nov 2012 A1
20120307883 Graves Dec 2012 A1
20120311094 Biderman et al. Dec 2012 A1
20120314778 Salustri et al. Dec 2012 A1
20120317235 Nguyen et al. Dec 2012 A1
20130007223 Luby et al. Jan 2013 A1
20130013730 Li et al. Jan 2013 A1
20130019107 Grab et al. Jan 2013 A1
20130019273 Ma et al. Jan 2013 A1
20130041808 Pham et al. Feb 2013 A1
20130044821 Braness et al. Feb 2013 A1
20130046849 Wolf Feb 2013 A1
20130046902 Villegas Nuñez et al. Feb 2013 A1
20130051554 Braness et al. Feb 2013 A1
20130054958 Braness et al. Feb 2013 A1
20130055084 Soroushian et al. Feb 2013 A1
20130058480 Ziskind et al. Mar 2013 A1
20130061040 Kiefer et al. Mar 2013 A1
20130061045 Kiefer et al. Mar 2013 A1
20130064466 Carmel et al. Mar 2013 A1
20130080772 McGowan et al. Mar 2013 A1
20130094565 Yang et al. Apr 2013 A1
20130097309 Ma et al. Apr 2013 A1
20130114944 Soroushian et al. May 2013 A1
20130128962 Rajagopalan et al. May 2013 A1
20130152767 Katz et al. Jun 2013 A1
20130166580 Maharajh Jun 2013 A1
20130166765 Kaufman Jun 2013 A1
20130166906 Swaminathan et al. Jun 2013 A1
20130170764 Carmel et al. Jul 2013 A1
20130173513 Chu et al. Jul 2013 A1
20130179199 Ziskind et al. Jul 2013 A1
20130179992 Ziskind et al. Jul 2013 A1
20130182952 Carmel et al. Jul 2013 A1
20130196292 Brennen et al. Aug 2013 A1
20130212228 Butler et al. Aug 2013 A1
20130223812 Rossi Aug 2013 A1
20130226578 Bolton et al. Aug 2013 A1
20130226635 Fisher Aug 2013 A1
20130227122 Gao Aug 2013 A1
20130227573 Morsi Aug 2013 A1
20130290697 Wang et al. Oct 2013 A1
20130301424 Kotecha et al. Nov 2013 A1
20130311670 Tarbox et al. Nov 2013 A1
20130329781 Su et al. Dec 2013 A1
20140003516 Soroushian Jan 2014 A1
20140013103 Giladi et al. Jan 2014 A1
20140037620 Ferree et al. Feb 2014 A1
20140047069 Ma et al. Feb 2014 A1
20140052823 Gavade et al. Feb 2014 A1
20140059156 Freeman, II et al. Feb 2014 A1
20140101445 Giladi et al. Apr 2014 A1
20140101722 Moore Apr 2014 A1
20140119432 Wang et al. May 2014 A1
20140122698 Batrouni et al. May 2014 A1
20140140396 Wang et al. May 2014 A1
20140140417 Shaffer et al. May 2014 A1
20140143301 Watson et al. May 2014 A1
20140143431 Watson et al. May 2014 A1
20140143440 Ramamurthy et al. May 2014 A1
20140164584 Joe et al. Jun 2014 A1
20140177734 Carmel et al. Jun 2014 A1
20140189065 van der Schaar et al. Jul 2014 A1
20140195686 Yeager et al. Jul 2014 A1
20140201382 Shivadas et al. Jul 2014 A1
20140211840 Butt et al. Jul 2014 A1
20140211859 Carmel et al. Jul 2014 A1
20140241420 Orton-jay et al. Aug 2014 A1
20140241421 Orton-jay et al. Aug 2014 A1
20140250473 Braness et al. Sep 2014 A1
20140258714 Grab Sep 2014 A1
20140269269 Kovvali et al. Sep 2014 A1
20140269927 Naletov et al. Sep 2014 A1
20140269936 Shivadas et al. Sep 2014 A1
20140280763 Grab et al. Sep 2014 A1
20140297804 Shivadas et al. Oct 2014 A1
20140297881 Shivadas et al. Oct 2014 A1
20140355668 Shoham et al. Dec 2014 A1
20140355958 Soroushian et al. Dec 2014 A1
20140359678 Shivadas et al. Dec 2014 A1
20140359679 Shivadas et al. Dec 2014 A1
20140359680 Shivadas et al. Dec 2014 A1
20140376720 Chan et al. Dec 2014 A1
20150006662 Braness Jan 2015 A1
20150026677 Stevens et al. Jan 2015 A1
20150049957 Shoham et al. Feb 2015 A1
20150058228 Voeller Feb 2015 A1
20150063693 Carmel et al. Mar 2015 A1
20150067715 Koat et al. Mar 2015 A1
20150104153 Braness et al. Apr 2015 A1
20150117836 Amidei et al. Apr 2015 A1
20150117837 Amidei et al. Apr 2015 A1
20150139419 Kiefer et al. May 2015 A1
20150188758 Amidei et al. Jul 2015 A1
20150188842 Amidei et al. Jul 2015 A1
20150188921 Amidei et al. Jul 2015 A1
20150189017 Amidei et al. Jul 2015 A1
20150189373 Amidei et al. Jul 2015 A1
20150195259 Liu et al. Jul 2015 A1
20150334435 Shivadas et al. Nov 2015 A1
20160072870 Watson et al. Mar 2016 A1
20160127440 Gordon May 2016 A1
20160149981 Shivadas et al. May 2016 A1
20160219303 Braness et al. Jul 2016 A1
20170026712 Gonder et al. Jan 2017 A1
20170041604 Soroushian et al. Feb 2017 A1
Foreign Referenced Citations (125)
Number Date Country
1169229 Dec 1997 CN
1221284 Jun 1999 CN
1723696 Jan 2006 CN
110268694 Sep 2019 CN
757484 Feb 1997 EP
813167 Dec 1997 EP
0936812 Aug 1999 EP
1056273 Nov 2000 EP
1420580 May 2004 EP
1553779 Jul 2005 EP
1657835 May 2006 EP
1718074 Nov 2006 EP
2486517 Aug 2012 EP
2486727 Aug 2012 EP
2507995 Oct 2012 EP
2564354 Mar 2013 EP
2616991 Jul 2013 EP
2617192 Jul 2013 EP
2661696 Nov 2013 EP
2486727 Mar 2014 EP
2564354 Mar 2014 EP
2616991 Mar 2014 EP
2617192 Mar 2014 EP
2716048 Apr 2014 EP
2721826 Apr 2014 EP
2486517 Jun 2014 EP
2751990 Jul 2014 EP
2807821 Dec 2014 EP
2751990 Apr 2015 EP
2972960 Jan 2016 EP
2972960 Sep 2019 EP
08046902 Feb 1996 JP
08111842 Apr 1996 JP
08163488 Jun 1996 JP
08287613 Nov 1996 JP
09037225 Feb 1997 JP
11164307 Jun 1999 JP
11275576 Oct 1999 JP
11328929 Nov 1999 JP
2000201343 Jul 2000 JP
02001043668 Feb 2001 JP
2001346165 Dec 2001 JP
2002170363 Jun 2002 JP
2002518898 Jun 2002 JP
2002218384 Aug 2002 JP
2003250113 Sep 2003 JP
2004013823 Jan 2004 JP
2004515941 May 2004 JP
2004172830 Jun 2004 JP
2004187161 Jul 2004 JP
2004234128 Aug 2004 JP
2005027153 Jan 2005 JP
2005080204 Mar 2005 JP
2006524007 Oct 2006 JP
2007036666 Feb 2007 JP
2007174375 Jul 2007 JP
2007235690 Sep 2007 JP
2007535881 Dec 2007 JP
2008235999 Oct 2008 JP
2014506430 Mar 2014 JP
6038805 Dec 2016 JP
2017063453 Mar 2017 JP
100221423 Sep 1999 KR
2002013664 Feb 2002 KR
1020020064888 Aug 2002 KR
100669616 Jan 2007 KR
1020130133830 Dec 2013 KR
1995015660 Jun 1995 WO
1996013121 May 1996 WO
1997031445 Apr 1998 WO
1999010836 Mar 1999 WO
1999065239 Dec 1999 WO
2001031497 May 2001 WO
2001050732 Jul 2001 WO
2001065762 Sep 2001 WO
2002001880 Jan 2002 WO
2002008948 Jan 2002 WO
2002035832 May 2002 WO
2002037210 May 2002 WO
2002054196 Jul 2002 WO
2004054247 Jun 2004 WO
2004097811 Nov 2004 WO
2004102571 Nov 2004 WO
2006018843 Feb 2006 WO
2006018843 Dec 2006 WO
2007044590 Apr 2007 WO
2007113836 Oct 2007 WO
2008010275 Jan 2008 WO
2008042242 Apr 2008 WO
2007113836 Nov 2008 WO
2007113836 Dec 2008 WO
2009065137 May 2009 WO
2010060106 May 2010 WO
2010080911 Jul 2010 WO
2010089962 Aug 2010 WO
2010122447 Oct 2010 WO
2010147878 Dec 2010 WO
2011042898 Apr 2011 WO
2011042900 Apr 2011 WO
2011068668 Jun 2011 WO
2011103364 Aug 2011 WO
2011132184 Oct 2011 WO
2011135558 Nov 2011 WO
2012035533 Mar 2012 WO
2012035534 Mar 2012 WO
2012035534 Jul 2012 WO
2012094171 Jul 2012 WO
20120094181 Jul 2012 WO
20120094189 Jul 2012 WO
2012035533 Aug 2012 WO
2012162806 Dec 2012 WO
2012171113 Dec 2012 WO
2013030833 Mar 2013 WO
2013032518 Mar 2013 WO
2013103986 Jul 2013 WO
2013111126 Aug 2013 WO
2013032518 Sep 2013 WO
2013144942 Oct 2013 WO
2014063726 May 2014 WO
2014145901 Sep 2014 WO
2014193996 Dec 2014 WO
2014193996 Feb 2015 WO
2015031982 Mar 2015 WO
2013111126 Jun 2015 WO
2018152347 Aug 2018 WO
Non-Patent Literature Citations (150)
Entry
“IBM Closes Cryptolopes Unit,” Dec. 17, 1997, CNET News, Printed on Apr. 25, 2014 from http://news.cnet.com/IBM-closes-Cryptolopes-unit/2100-1001_3206465.html, 3 pgs.
“Information Technology-Coding of Audio Visual Objects—Part 2: Visual” International Standard, ISO/IEC 14496-2, Third Edition, Jun. 1, 2004, pp. 1-724. (presented in three parts).
Broadq—The Ultimate Home Entertainment Software, printed May 11, 2009 from ittp://web.srchive.org/web/20030401122010/www.broadq.com/qcasttuner/, 1 page.
Cloakware Corporation, “Protecting Digital Content Using Cloakware Code Transformation Technology”, Version 1.2, May 2002, 10 pgs.
European Search Report Application No. EP 08870152, Search Completed May 19, 2011, dated May 26, 2011, 9 pgs.
European Search Report for Application 11855103.5, search completed Jun. 26, 2014, 9 pgs.
European Search Report for Application 11855237.1, search completed Jun. 12, 2014, 9 pgs.
European Supplementary Search Report for Application EP09759600, completed Jan. 25, 2011, 11 pgs.
Extended European Search Report for European Application EP10821672, completed Jan. 30, 2014, 3 pgs.
Extended European Search Report for European Application EP11824682, completed Feb. 6, 2014, 4 pgs.
Extended European Search Report for European Application No. 14763140.2, Search completed Sep. 26, 2016, dated Oct. 5, 2016, 9 pgs.
Federal Computer Week, “Tool Speeds Info to Vehicles”, Jul. 25, 1999, 5 pgs.
HTTP Live Streaming Overview, Networking & Internet, Apple, Inc., Apr. 1, 2011, 38 pgs.
IBM Corporation and Microsoft Corporation, “Multimedia Programming Interface and Data Specifications 1.0”, Aug. 1991, printed from http://www.kk.iij4u.or.jp/˜kondo/wave/mpidata.txt on Mar. 6, 2006, 100 pgs.
InformationWeek, “Internet on Wheels”, InformationWeek: Front End: Daily Dose, Jul. 20, 1999, Printed on Mar. 26, 2014, 3 pgs.
International Preliminary Report for Application No. PCT/US2011/066927, Filed Dec. 22, 2011, Report dated Jul. 10, 2013, 13 pgs.
International Preliminary Report on Patentability for International Application PCT/US14/30747, Report dated Sep. 15, 2015, dated Sep. 24, 2015, 6 pgs.
International Preliminary Report on Patentability for International Application No. PCT/US2008/083816, dated May 18, 2010, 6 pgs.
International Preliminary Report on Patentability for International Application No. PCT/US2011/068276, dated Mar. 4, 2014, 23 pgs.
International Preliminary Report on Patentability for International Application PCT/US2013/043181, dated Dec. 31, 2014, dated Jan. 8, 2015, 11 pgs.
International Preliminary Report on Patentability for International Application PCT/US2014/039852, dated Dec. 1, 2015, dated Dec. 5, 2015, 8 pgs.
International Search Report and Written Opinion for International Application No. PCT/US07/63950, completed Feb. 19, 2008; dated Mar. 19, 2008, 9 pgs.
International Search Report and Written Opinion for International Application No. PCT/US08/87999, completed Feb. 7, 2009, dated Mar. 19, 2009, 6 pgs.
International Search Report and Written Opinion for International Application No. PCT/US09/46588, completed Jul. 13, 2009, dated Jul. 23, 2009, 7 pgs.
International Search Report and Written Opinion for International Application No. PCT/US2004/041667, completed May 24, 2007, dated Jun. 20, 2007, 6 pgs.
International Search Report and Written Opinion for International Application No. PCT/US2005/025845, completed Feb. 5, 2007 and dated May 10, 2007, 8 pgs.
International Search Report and Written Opinion for International Application No. PCT/US2008/083816, completed Jan. 10, 2009, dated Jan. 22, 2009, 7 pgs.
International Search Report and Written Opinion for International Application No. PCT/US2010/020372, Completed Feb. 10, 2009, dated Mar. 1, 2010, 7 pgs.
International Search Report and Written Opinion for International Application No. PCT/US2010/56733, Completed Jan. 3, 2011, dated Jan. 14, 2011, 9 pgs.
International Search Report and Written Opinion for International Application No. PCT/US2013/043181, completed Nov. 27, 2013, dated Dec. 6, 2013, 12 pgs.
International Search Report and Written Opinion for International Application No. PCT/US2018/018399, Search completed Apr. 4, 2018, dated Apr. 25, 2018, 28 pgs.
International Search Report and Written Opinion for International Application PCT/US14/30747, completed Jul. 30, 2014, dated Aug. 22, 2014, 7 pgs.
International Search Report and Written Opinion for International Application PCT/US14/39852, completed Oct. 21, 2014, dated Dec. 5, 2014, 11 pgs.
International Search Report and Written Opinion for International Application PCT/US2011/066927, completed Apr. 3, 2012, dated Apr. 20, 2012, 14 pgs.
International Search Report and Written Opinion for International Application PCT/US2011/067167, completed Jun. 19, 2012, dated Jul. 2, 2012, 11 pgs.
International Search Report and Written Opinion for International Application PCT/US2011/068276, completed Jun. 19, 2013, dated Jul. 8, 2013, 24 pgs.
International Search Report and Written Opinion for PCT/US2013/020572, International Filing Date Jan. 7, 2013, Search Completed Mar. 19, 2013, dated Apr. 29, 2013, 10 pgs.
ITS International, “Fleet System Opts for Mobile Server”, Aug. 26, 1999, Printed on Oct. 21, 2011 from http://www.itsinternational.com/News/article.cfm?recordID=547, 2 pgs.
Lifehacker—Boxqueue Bookmarklet Saves Videos for Later Boxee Watching, printed Jun. 16, 2009 from http://feeds.gawker.com/˜r/lifehacker/full/˜3/OHvDmrIgZZc/boxqueue-bookmarklet-saves-videos-for-late-boxee-watching, 2 pgs.
LinksysWireless-B Media Adapter Reviews, printed May 4, 2007 from http://reviews.cnet.com/Linksys_Wireless_B_Media_Adapter/4505-6739_7-30421900.html?tag=box, 5 pgs.
Linksys, KISS DP-500, printed May 4, 2007 from http://www.kiss-technology.com/?p=dp500, 2 pgs.
Adhikari et al., “Unreeling Netflix: Understanding and Improving Multi-CDN Movie Delivery”, INFOCOM, 2012 Proceedings IEEE, 2012, 9 pgs.
Akhshabi et al., “An Experimental Evaluation of Rate-Adaptation Algorithms in Adaptive Streaming over HTTP”, MMSys'11, Feb. 23-25, 2011, 12 pgs.
Anonymous, “Method for the encoding of a compressed video sequence derived from the same video sequence compressed at a different bit rate without loss of data”, ip.com, ip.com No. IPCOM000008165D, May 22, 2002, 9 pgs.
Author Unknown, “Blu-ray Disc—Blu-ray Disc—Wikipedia, the free encyclopedia”, printed Oct. 30, 2008 from http://en.wikipedia.org/wiki/Blu-ray_Disc, 11 pgs.
Author Unknown, “Blu-ray Movie Bitrates Here—Blu-ray Forum”, printed Oct. 30, 2008 from http://forum.blu-ray.com/showthread.php?t=3338, 6 pgs.
Author Unknown, “MPEG-4 Video Encoder: Based on International Standard ISO/IEC 14496-2”, Patni Computer Systems, Ltd., printed Jan. 24, 2007, USA, 15 pgs.
Author Unknown, “O'Reilly—802.11 Wireless Networks: The Definitive Guide, Second Edition”, printed Oct. 30, 2008 from http://oreilly.com/catalog/9780596100520, 2 pgs.
Author Unknown, “Tunneling QuickTime RTSP and RTP over HTTP”, Published by Apple Computer, Inc.: 1999 (month unknown), 6 pgs.
Author Unknown, “Turbo-Charge Your Internet and PC Performance”, printed Oct. 30, 2008 from Speedtest.net—The Global Broadband Speed Test, 1 page.
Author Unknown, “White paper, The New Mainstream Wireless LAN Standard”, Broadcom Corporation, Jul. 2003, 12 pgs.
Blasiak, “Video Transrating and Transcoding: Overview of Video Transrating and Transcoding Technologies”, Ingenient Technologies, TI Developer Conference, Aug. 6-8, 2002, 22 pgs.
Casares et al., “Simplifying Video Editing Using Metadata”, DIS2002, 2002, 10 pgs.
Deutscher, “IIS Transform Manager Beta—Using the MP4 to Smooth Task”, Retrieved from: https://web.archive.org/web/20130328111303/http://blog.johndeutscher.com/category/smooth-streaming, Blog post of Apr. 29, 2011, 14 pgs.
Gannes, “The Lowdown on Apple's HTTP Adaptive Bitrate Streaming”, GigaOM, Jun. 10, 2009, 12 pgs.
Garg et al., “An Experimental Study of Throughput for UDP and VoIP Traffic in IEEE 802.11b Networks”, Wireless Communications and Networkings, Mar. 2003, pp. 1748-1753.
Gast, “When is 54 Not Equal to 54? A Look at 802.11a, b and g Throughput”, Aug. 8, 2003, printed Oct. 30, 2008 from www.oreillynet.com/pub/a/wireless/2003/08/08/wireless_throughput.html, 4 pgs.
Ghosh, “Enhancing Silverlight Video Experiences with Contextual Data”, Retrieved from: http://msdn.microsoft.com/en-us/magazine/ee336025.aspx, 2010,15 pgs.
Griffith, Eric “The Wireless Digital Picture Frame Arrives”, W-Fi Planet, printed May 4, 2007 from http://www.wi-fiplanet.com/news/article.php/3093141, Oct. 16, 2003, 3 pgs.
Inlet Technologies, “Adaptive Delivery to iDevices”, 2010, 2 pgs.
Inlet Technologies, “Adaptive delivery to iPhone 3.0”, 2009, 2 pgs.
Inlet Technologies, “HTTP versus RTMP”, 2009, 3 pgs.
Inlet Technologies, “The World's First Live Smooth Streaming Event: The French Open”, 2009, 2 pgs.
I-O Data, “Innovation of technology arrived”, Nov. 2004, Retrieved from http://www.iodata.com/catalogs/AVLP2DVDLA_Flyer200505.pdf, 2 pgs.
Kaspar et al., “Using HTTP Pipelining to Improve Progressive Download over Multiple Heterogeneous Interfaces”, IEEE ICC proceedings, 2010, 5 pgs.
Kim, Kyuheon “MPEG-2 ES/PES/TS/PSI”, Kyung-Hee University, Oct. 4, 2010, 66 pgs.
Kozintsev et al., “Improving last-hop multicast streaming video over 802.11”, Workshop on Broadband Wireless Multimedia, Oct. 2004, 10 pgs.
Kurzke et al., “Get Your Content Onto Google TV”, Google, Retrieved from: http://commondatastorage.googleapis.com/io2012/presentations/live%20to%20website/1300.pdf, 2012, 58 pgs.
Lang, “Expression Encoder, Best Practices for live smooth streaming broadcasting”, Microsoft Corporation, 2010, retrieved from http://www.streamingmedia.com/conferences/west2010/presentations/SMWest-12010-Expression-Encoder.pdf, 20 pgs.
Levkov, “Mobile Encoding Guidelines for Android Powered Devices”, Adobe Systems Inc., Addendum B, Dec. 22, 2010, 42 pgs.
Long et al., “Silver: Simplifying Video Editing with Metadata”, Demonstrations, CHI 2003: New Horizons, Apr. 5-10, 2003, pp. 628-629.
Martin et al, “Characterizing Netflix Bandwidth Consumption”, In CCNC, 2013, 6 pgs.
Martin et al, “Characterizing Netflix Bandwidth Consumption”, Presented at IEEE CCNC 2013 on Jan. 13, 2013, 21 pgs.
Morrison, “EA IFF 85 Standard for Interchange Format Files”, Jan. 14, 1985, printed from http://www.dcs.ed.ac.uk/home/mxr/gfx/2d/IFF.txt on Mar. 6, 2006, 24 pgs.
MSDN, “Adaptive streaming, Expression Studio 2.0”, Apr. 23, 2009, 2 pgs.
Nelson, “Smooth Streaming Deployment Guide”, Microsoft Expression Encoder, Aug. 2010, 66 pgs.
Nelson, Mark “Arithmetic Coding+Statistical Modeling=Data Compression: Part 1—Arithmetic Coding”, Doctor Dobb's Journal, Feb. 1991, printed from http://www.dogma.net/markn/articles/arith/part1.htm; printed Jul. 2, 2003, 12 pgs.
Nelson, Michael “IBM's Cryptolopes”, Complex Objects in Digital Libraries Course, Spring 2001, Retrieved from http://www.cs.odu.edu/˜mln/teaching/unc/inls210/?method=display&pkg_name=cryptolopes.pkg&element_name=cryptolopes.ppt, 12 pgs.
Noboru, “Play Fast and Fine Video on Web! codec”, Co.9 No. 12, Dec. 1, 2003, 2 pgs.
Noe, A. “Matroska File Format (under construction!)”, Retrieved from the Internet: URL:http://web.archive.org web/20070821155146/www.matroska.org/technical/specs/matroska.pdf [retrieved on Jan. 19, 2011], Jun. 24, 2007, 26 pgs.
Linksys®: “Enjoy your digital music and pictures on your home entertainment center, without stringing wires!”, Model No. WMA 11B, printed May 9, 2007 from http://www.linksys.com/servlet/Satellite?c=L_Product_C2&childpagename=US/Layout&cid=1115416830950&p, 3 pgs.
Microsoft Corporation, “Chapter 8, Multimedia File Formats” 1991, Microsoft Windows Multimedia Programmer's Reference, 20 pgs.
Microsoft Media Platform: Player Framework, “Microsoft Media Platform: Player Framework v2.5 (formerly Silverlight Media Framework)”, May 3, 2011, 2 pgs.
Microsoft Media Platform: Player Framework, “Silverlight Media Framework v1.1”, Jan. 2010, 2 pgs.
Microsoft Windows® XP Media Center Edition 2005, Frequently asked Questions, printed May 4, 2007 from http://www.microsoft.com/windowsxp/mediacenter/evaluation/faq.mspx, 6 pgs.
Microsoft Windows® XP Media Center Edition 2005: Features, printed May 9, 2007, from http://www.microsoft.com/windowsxp/mediacenter/evaluation/features.mspx, 4 pgs.
Office Action for Chinese Patent Application No. CN200880127596.4, dated May 6, 2014, 8 pgs.
Office Action for U.S. Appl. No. 13/223,210, dated Apr. 30, 2015, 14 pgs.
Office Action for U.S. Appl. No. 14/564,003, dated Apr. 17, 2015, 28 pgs.
Open DML AVI-M-JPEG File Format Subcommittee, “Open DML AVI File Format Extensions”, Version 1.02, Feb. 28, 1996, 29 pgs.
PC world.com, Future Gear: PC on the HiFi, and the TV, from http://www.pcworld.com/article/id,108818-page,1/article.html, printed May 4, 2007, from IDG Networks, 2 pgs.
Qtv—About BroadQ, printed May 11, 2009 from http://www.broadq.com/en/about.php, 1 page.
Supplementary European Search Report for Application No. EP 04813918, Search Completed Dec. 19, 2012, 3 pgs.
Supplementary European Search Report for Application No. EP 10729513, completed Dec. 9, 2013, 4 pgs.
Supplementary European Search Report for EP Application 11774529, completed Jan. 31, 2014, 2 pgs.
Windows Media Center Extender for Xbox, printed May 9, 2007 from http://www.xbox.com/en-US/support/systemuse/xbox/console/mediacenterextender.htm, 2 pgs.
Windows® XP Media Center Edition 2005, “Experience more entertainment”, retrieved from http://download.microsoft.com/download/c/9/a/c9a7000a-66b3-455b-860b-1c16f2eecfec/MCE.pdf on May 9, 2007, 2 pgs.
Invitation to Pay Add'l Fees Rcvd for International Application PCT/US14/39852, Mailed Sep. 25, Sep. 25, 2014, 2 pgs.
“Adaptive Streaming Comparison”, Jan. 28, 2010, 5 pgs.
“Best Practices for Multi-Device Transcoding”, Kaltura Open Source Video, Printed on Nov. 27, 2013 from knowledge.kaltura.com/best-practices-multi-device-transcoding, 13 pgs.
“Container format (digital)”, printed Aug. 22, 2009 from http://en.wikipedia.org/wiki/Container_format_(digital), 4 pgs.
“Diagram | Matroska”, Dec. 17, 2010, Retrieved from http://web.archive.org/web/201 01217114656/http:I/matroska.org/technical/diagram/index.html on Jan. 29, 2016, Dec. 17, 2010, 5 pgs.
“DVD—MPeg differences”, printed Jul. 2, 2009 from http://dvd.sourceforge.net/dvdinfo/dvdmpeg.html, 1 page.
“DVD subtitles”, sam.zoy.org/writings/dvd/subtitles, dated Jan. 9, 2001, printed Jul. 2, 2009, 4 pgs.
“Final Committee Draft of MPEG-4 streaming text format”, International Organisation for Standardisation, Feb. 2004, 22 pgs.
“IBM Spearheading Intellectual Property Protection Technology for Information on the Internet; Cryptolope Containers Have Arrived”, May 1, 1996, Business Wire, Printed on Aug. 1, 2014 from http://www.thefreelibrary.com/IBM+Spearheading+Intellectual+Property+Protection+Technology+for...-a018239381, 6 pgs.
“Information Technology—Coding of audio-visual objects—Part 17: Streaming text”, International Organisation for Standardisation, Feb. 2004, 22 pgs.
“Information Technology—Coding of audio-visual objects—Part 18: Font compression and streaming”, ISO/IEC 14496-18, First edition Jul. 1, 2004, 26 pgs.
“KISS Players, KISS DP-500”, retrieved from http://www.kiss-technology.com/?p=dp500 on May 4, 2007, 1 page.
“Matroska Streaming | Matroska”, Retrieved from the Internet: URL:http://web.archive.org/web/201 0121711431 O/http://matroska.org/technical!streaming/index.html [retrieved on Jan. 29, 2016], Dec. 17, 2010, 2 pgs.
“Netflix turns on subtitles for PC, Mac streaming”, Yahoo! News, Apr. 21, 2010, Printed on Mar. 26, 2014, 3 pgs.
“OpenDML AVI File Format Extensions”, OpenDML AVI M-JPEG File Format Subcommittee, retrieved from www.the-labs.com/Video/odmlff2-avidef.pdf, Sep. 1997, 42 pgs.
“OpenDML AVI File Format Extensions Version 1.02”, OpenDMLAVI MJPEG File Format Subcommittee. Last revision: Feb. 28, 1996. Reformatting: Sep. 1997, 56 pgs.
“QCast Tuner for PS2”, printed May 11, 2009 from http://web.archive.org/web/20030210120605/www.divx.com/software/detail.php?ie=39, 2 pgs.
“Smooth Streaming Client”, The Official Microsoft IIS Site, Sep. 24, 2010, 4 pgs.
“Specifications | Matroska”, Retrieved from the Internet: URL:http://web.archive.org/web/201 00706041303/http:/1www.matroska.org/technical/specs/index.html [retrieved on Jan. 29, 2016, Jul. 6, 2010, 12 pgs.
“Supplementary European Search Report for Application No. EP 10834935”, International Filing Date Nov. 15, 2010, Search Completed May 27, 2014, 9 pgs.
“Supported Media Formats”, Supported Media Formats, Android Developers, Printed on Nov. 27, 2013 from developer.android.com/guide/appendix/media-formats.html, 3 pgs.
“Text of ISO/IEC 14496-18/COR1, Font compression and streaming”, ITU Study Group 16—Video Coding Experts Group—ISO/IEC MPEG & ITU-T VCEG(ISO/IEC JTC1/SC29/WG11 and ITU-T SG16 06), No. N8664, Oct. 27, 2006, 8 pgs.
“Text of ISO/IEC 14496-18/FDIS, Coding of Moving Pictures and Audio”, ITU Study Group 16—Videocoding Experts Group—ISO/IEC MPEG & ITU-T VCEG(ISO/IEC JTC1/SC29/WG11 and ITU-T SG16 06), No. N6215, Dec. 2003, 26 pgs.
“Thread: SSME (Smooth Streaming Medial Element) config.xml review (Smooth Streaming Client configuration file)”, Printed on Mar. 26, 2014, 3 pgs.
“Transcoding Best Practices”, From movideo, Printed on Nov. 27, 2013 from code.movideo.com/Transcoding_Best_Practices, 5 pgs.
“Using HTTP Live Streaming”, iOS Developer Library, http://developer.apple.com/library/ios/#documentation/networkinginternet/conceptual/streamingmediaguide/UsingHTTPLiveStreaming/UsingHTTPLiveStreaming.html#//apple_ref/doc/uid/TP40008332-CH102-SW1, Feb. 11, 2014, 10 pgs.
“Video Manager and Video Title Set IFO file headers”, printed Aug. 22, 2009 from http://dvd.sourceforge.net/dvdinfo/ifo.htm, 6 pgs.
“What is a DVD?”, printed Aug. 22, 2009 from http://www.videohelp.com/dvd, 8 pgs.
“What is a VOB file”, http://www.mpucoder.com/DVD/vobov.html, printed on Jul. 2, 2009, 2 pgs.
“What's on a DVD?”, printed Aug. 22, 2009 from http://www.doom9.org/dvd-structure.htm, 5 pgs.
U.S. Appl. No. 13/224,298, “Final Office Action Received”, dated May 19, 2014, 26 pgs.
U.S. Appl. No. 13/905,804, “Non-Final Office Action Received”, U.S. Appl. No. 13/905,804, “Non-Final Office Action Received”, dated Jul. 25, 2014, 15 pgs.
Noe, Alexander “AVI File Format”, http://www.alexander-noe.com/video/documentation/avi.pdf, Dec. 14, 2006, 26 pgs.
Noe, Alexander “Definitions”, Apr. 11, 2006, retrieved from http://www.alexander-noe.com/video/amg/definitions.html on Oct. 16, 2013, 2 pgs.
Ooyala, “Widevine Content Protection”, Ooyala Support Center for Developers. Ooyala, Inc., 2013. Jun. 3, 2013. http://support.ooyala.com/developers/documentation/concepts/player_v3_widevine_integration.html, 7 pgs.
Ozer, “The 2012 Encoding and Transcoding Buyers' Guide”, Streamingmedia.com, Retrieved from: http://www.streamingmedia.com/Articles/Editorial/Featured-Articles/The-2012-Encoding-and-Transcoding-Buyers-Guide-84210.aspx, 2012, 8 pgs.
Pantos, “HTTP Live Streaming, draft-pantos-http-live-streaming-10”, IETF Tools, Oct. 15, 2012, Retrieved from: http://tools.ietf.org/html/draft-pantos-http-live-streaming-10, 37 pgs.
Pantos, R “HTTP Live Streaming: draft-pantos-http-live-streaming-06”, Published by the Internet Engineering Task Force (IETF), Mar. 31, 2011, 24 pgs.
Papagiannaki et al., “Experimental Characterization of Home Wireless Networks and Design Implications”, INFOCOM 2006, 25th IEEE International Conference of Computer Communications, Proceedings, Apr. 2006, 13 pgs.
Phamdo, “Theory of Data Compression”, printed on Oct. 10, 2003, 12 pgs.
RGB Networks, “Comparing Adaptive HTTP Streaming Technologies”, Nov. 2011, Retrieved from: http://btreport.net/wp-content/uploads/2012/02/RGB-Adaptive-HTTP-Streaming-Comparison-1211-01.pdf, 20 pgs.
Schulzrinne, H “Real Time Streaming Protocol 2.0 (RTSP): draft-ietfmmusic-rfc2326bis-27”, MMUSIC Working Group of the Internet Engineering Task Force (IETF), Mar. 9, 2011, 296 pgs (presented in two parts).
Siglin, “HTTP Streaming: What You Need to Know”, streamingmedia.com, 2010, 15 pgs.
Siglin, “Unifying Global Video Strategies, MP4 File Fragmentation for Broadcast, Mobile and Web Delivery”, Nov. 16, 2011, 16 pgs.
Tan, Yap-Peng et al., “Video transcoding for fast forward/reverse video playback”, IEEE ICIP, 2002, 4 pgs.
Taxan, “AVel LinkPlayer2 for Consumer”, I-O Data USA—Products—Home Entertainment, printed May 4, 2007 from http://www.iodata.com/usa/products/products.php?cat=HNP&sc=AVEL&pld=AVLP2/DVDLA&ts=2&tsc, 1 page.
Unknown, “AVI RIFF File Reference (Direct X 8.1 C++ Archive)”, printed from http://msdn.microsoft.com/archive/en-us/dx81_c/directx_cpp/htm/avirifffilereference.asp?fr . . . On Mar. 6, 2006, 7 pgs.
Unknown, “Entropy and Source Coding (Compression)”, TCOM 570, Sep. 1999, 22 pgs.
Unknown, “MPEG-4 Video Encoder: Based on International Standard ISO/IEC 14496-2”, Patni Computer Systems, Ltd., publication date unknown, 15 pgs.
Wang et al., “Image Quality Assessment: From Error Visibility to Structural Similarity”, IEEE Transactions on Image Processing, Apr. 2004, vol. 13, No. 4, pp. 600-612.
Wu, Feng et al., “Next Generation Mobile Multimedia Communications: Media Codec and Media Transport Perspectives”, In China Communications, Oct. 2006, pp. 30-44.
Zambelli, “IIS Smooth Streaming Technical Overview”, Microsoft Corporation, Mar. 2009, 17 pgs.
Extended European Search Report for European Application EP19189160.5, Report Completed Sep. 19, 2019, dated Sep. 26, 2019, 7 pgs.
Related Publications (1)
Number Date Country
20180241796 A1 Aug 2018 US