Patent Grant
11025902
The present invention is directed, in general, to systems and methods for adaptive streaming systems and more specifically to systems and methods for reusing encoding information in the encoding of alternative streams of video data.
The term streaming media describes the playback of media on a playback device, where the media is stored on a server and continuously 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 quality of the streamed media accordingly. Streaming video over the Internet has become a phenomenon in modern times. Many popular websites, such as YouTube, a service of Google, Inc. of Mountain View, Calif., and WatchESPN, a service of ESPN of Bristol, Conn., utilize streaming video in order to provide video and television programming to consumers via the Internet.
Scalable Video Coding (SVC) is an extension of the H.264/MPEG-4 AVC video compression standard, which is specified by the ITU-T H.264 standard by the International Telecommunication Union Telecommunication Standardization Sector of Geneva, Switzerland. SVC enables the encoding of a video bitstream that additionally contains one or more sub-bitstreams. The sub-bitstreams are derived from the video bitstream by dropping packets of data from the video bitstream, resulting in a sub-bitstream of lower quality and lower bandwidth than the original video bitstream. SVC supports three forms of scaling a video bitstream into sub-bitstreams: temporal scaling, spatial scaling, and quality scaling. Each of these scaling techniques can be used individually or combined depending on the specific video system.
In adaptive streaming systems, the source media is typically stored on a media server as a top level index file pointing to a number of alternate streams that contain the actual video and audio data. Each stream is typically stored in one or more container files. Different adaptive streaming solutions typically utilize different index and media containers. The Matroska container is a media container developed as an open standard project by the Matroska non-profit organization of Aussonne, France. The Matroska container is based upon Extensible Binary Meta Language (EBML), which is a binary derivative of the Extensible Markup Language (XML). Decoding of the Matroska container is supported by many consumer electronics (CE) devices. The DivX Plus file format developed by DivX, LLC of San Diego, Calif. utilizes an extension of the Matroska container format, including elements that are not specified within the Matroska format.
Systems and methods for reusing encoding information in the encoding of alternative streams of video data in accordance with embodiments of the invention are disclosed. In one embodiment of the invention, encoding multimedia content for use in adaptive streaming systems, includes selecting a first encoding level from a plurality of encoding levels using a media server, determining encoding information for a first stream of video data using the first encoding level and the media server, encoding the first stream of video data using the media server, where the first stream of video data includes a first resolution and a first bitrate, selecting a second encoding level from the plurality of encoding levels using the media server, and encoding a second stream of video data using the encoding information and the media server, where the second stream of video data includes a second resolution and a second bitrate.
In another embodiment of the invention, the first resolution and the second resolution are the same.
In an additional embodiment of the invention, the first bitrate is lower than the second bitrate.
In yet another additional embodiment of the invention, the first bitrate is greater than the second bitrate.
In still another additional embodiment of the invention, the first resolution is lower than the second resolution.
In yet still another additional embodiment of the invention, the first resolution is higher than the second resolution.
In yet another embodiment of the invention, determining encoding information includes determining encoding information selected from the group consisting of estimating motion estimation results, selecting weighted prediction weights, and determining scene changes.
In yet still another embodiment of the invention, encoding multimedia content further includes determining motion estimations for the first stream of video data using the first encoding level and the media server and scaling the determined motion estimation results for the second stream of video data using the second encoding level and the media server.
In yet another additional embodiment of the invention, determining motion estimation includes hierarchical motion estimations using the media server.
In still another additional embodiment of the invention, encoding multimedia content further includes storing the first stream of video data and the second stream of video data in a container file using the media server.
In yet still another additional embodiment of the invention, the container file is a Matroska container file.
In yet another embodiment of the invention, encoding multimedia content further includes storing the first stream of video data and the second stream of video data in separate container files using the media server.
In still another embodiment of the invention, encoding the first stream of video data and encoding the second stream of video data utilizes scalable video coding.
Still another embodiment of the invention includes a media server, including memory configured to store multimedia content, where the multimedia content includes a source video, and a processor, wherein the processor is configured by a media encoder application to select a first encoding level from a plurality of encoding levels, determine encoding information for a first stream of video data using the first encoding level, encode the first stream of video data, where the first stream of video data includes a first resolution and a first bitrate, select a second encoding level from the plurality of encoding levels, and encode a second stream of video data using the encoding information, where the second stream of video data includes a second resolution and a second bitrate.
In yet another additional embodiment of the invention, the first resolution and the second resolution are the same.
In still another additional embodiment of the invention, the first bitrate is lower than the second bitrate.
In yet still another additional embodiment of the invention, the first bitrate is greater than the second bitrate.
In yet another embodiment of the invention, the first resolution is lower than the second resolution.
In still another embodiment of the invention, the first resolution is higher than the second resolution.
In yet still another embodiment of the invention, the determined encoding information is selected from the group consisting of emotion estimation results, weighted prediction weights, and scene changes.
In yet another additional embodiment of the invention, the processor is further configured to determine motion estimations for the first stream of video data using the first encoding level and scale the determined motion estimation results for the second stream of video data using the second encoding level.
In still another additional embodiment of the invention, the determined motion estimation includes hierarchical motion estimations.
In yet still another additional embodiment of the invention, the processor is further configured to store the first stream of video data and the second stream of video data in a container file.
In yet another embodiment of the invention, the container file is a Matroska container file.
In still another embodiment of the invention, the processor is further configured to store the first stream of video data and the second stream of video data in separate container files.
In yet still another embodiment of the invention, the first stream of video data and the second stream of video data are encoded using scalable video coding.
Still another embodiment of the invention includes a machine readable medium containing processor instructions, where execution of the instructions by a processor causes the processor to perform a process including selecting a first encoding level from a plurality of encoding levels, determining encoding information for a first stream of video data using the first encoding level, encoding the first stream of video data, where the first stream of video data includes a first resolution and a first bitrate, selecting a second encoding level from the plurality of encoding levels, and encoding a second stream of video data using the encoding information, where second stream of video data includes a second resolution and a second bitrate.
Turning now to the drawings, systems and methods for reusing encoding information in the encoding of alternative streams of video data in accordance with embodiments of the invention are disclosed. Although the present invention is described below with respect to adaptive streaming systems and block-based video encoding techniques, the systems and methods described are equally applicable in conventional streaming systems where different streams of video data are selected based upon a network client's connection quality and video encoding techniques that are not block-based.
In adaptive streaming systems, multimedia content is encoded as a set of alternative streams of video data. Because each alternative stream of video data is encoded using the same source multimedia content, similar encoding information is determined in the encoding of each alternative stream of video data. Encoding information includes, but is not limited to, motion estimation results, the selection of weighted prediction weight(s), and determining scene changes. Systems and methods in accordance with many embodiments of the invention reuse encoding information determined in the encoding of one alternative stream of video data in the encoding of at least one other alternative stream of video data. By reusing encoding information in the encoding of several alternative streams of video data, significant improvements in the encoding of the alternative streams of video data can be achieved, particularly significant time savings may be realized in accordance with embodiments of the invention.
Adaptive streaming systems are configured to stream multimedia content encoded at different maximum bitrates and resolutions over a network, such as the Internet. Adaptive streaming systems stream the highest quality multimedia content, which can be supported based upon current streaming conditions. Multimedia content typically includes video and audio data, subtitles, and other related metadata. In order to provide the highest quality video experience independent of the network data rate, adaptive streaming systems are configured to switch between the available sources of video data throughout the delivery of the video data according to a variety of factors, including, but not limited to, the available network data rate and video decoder performance. When streaming conditions deteriorate, an adaptive streaming system typically attempts to switch to multimedia streams encoded at lower maximum bitrates. In the event that the available network data rate cannot support streaming of the stream encoded at the lowest maximum bitrate, then playback is often disrupted until a sufficient amount of content can be buffered to restart playback. Systems and methods for switching between video streams during playback that may be utilized in adaptive streaming system in accordance with embodiments of the invention are described in U.S. patent application Ser. No. 13/221,682 entitled “Systems and Methods for Adaptive Bitrate Streaming of Media Stored in Matroska Container Files Using Hypertext Transfer Protocol” to Braness et al., filed Aug. 30, 2011, the entirety of which is incorporated by reference.
To create the multiple sources of video data utilized in adaptive streaming systems, a source encoder can be configured to encode a plurality of alternative streams of video data from a source video contained in a piece of multimedia content. Systems and method for encoding a source video for use in adaptive streaming systems are disclosed in U.S. patent application Ser. No. 13/221,794, entitled “Systems and Methods for Encoding Source Media in Matroska Container Files for Adaptive Bitrate Streaming Using Hypertext Transfer Protocol” to Braness et al., filed Aug. 30, 2011, the entirety of which is incorporated by reference. In accordance with embodiments of the invention, a source encoder may be implemented using a media source and/or a media server.
As stated above, alternative streams of video data based on the same source video contain similar content; therefore, encoding information determined in the encoding of one alternative stream of video data for the source video may be reused in the encoding of the one or more of the other alternative streams of video data. In accordance with embodiments of the invention, a set of alternative streams of video data based on the same source video may contain video data at the same resolution but differing bitrates. In many embodiments of the invention, the motion estimation results calculated for the encoding of a particular alternative stream of video data can be reused amongst all the alternative streams of video data. As is discussed below, a variety of encoding information determined in the encoding of alternative streams of video data may be reused amongst the alternative streams of video data. Systems and methods for reusing encoding information in the encoding of alternative streams of video data in accordance with embodiments of the invention are discussed further below.
System Overview
Adaptive streaming systems in accordance with embodiments of the invention are configured to adapt the video transmitted to network clients based on streaming conditions. An adaptive streaming system in accordance with an embodiment of the invention is illustrated in
In many embodiments of the invention, the media source 100 and/or the network renderer 102 are implemented using a single machine. In several embodiments of the invention, the media source 100 and/or the network renderer 102 are implemented using a plurality of machines. In many embodiments of the invention, the media source 100 and the network renderer 102 are implemented using a media server. In many embodiments, the network 110 is the Internet. In several embodiments, the network 110 is any IP network. In a number of embodiments, the network 110 is a cellular data network.
Although a specific architecture of an adaptive streaming system is shown in
Media Servers Capable of Encoding Media for Adaptive Streaming
In accordance with embodiments of the invention, media servers are configured to encode a plurality of alternative streams of video data for a source video contained in multimedia content.
In a number of embodiments, a media server 200 includes a storage device 220 connected to the processor 210 configured to store multimedia content and/or alternative streams of video data. In many embodiments of the invention, the process 400 encodes the multimedia content using scalable video coding. In several embodiments, the alternative streams of video data are stored in a container utilizing the Matroska container format. In accordance with embodiments of the invention, the alternative streams of video data have an adaptive group of pictures structure.
In a number of embodiments, the media server 200 includes a display device 224 connected to the processor 210, where the display device may be used to display alternative streams of video data and/or information related to the encoding of alternative streams of video data. In accordance with embodiments of the invention, the media server 200 is implemented using one or more servers configured with software applications appropriate to encode and/or stream multimedia content. A media server 200 optionally includes a network device 222 connected to the processor 210. In many embodiments, the network device 222 is configured to establish a network connection and the processor 210 is configured to stream multimedia content using the network connection for use in adaptive streaming systems.
The basic architecture of a media server in accordance with an embodiment of the invention is illustrated in
In many embodiments of the invention, the media server 300 includes multiple processors. In a number of embodiments, the video encoder 332 is implemented using dedicated hardware. Although a specific architecture for a media server is illustrated in
Although a specific implementation of a media server is shown in
Reusing Encoding Information in the Encoding of Alternative Streams of Video Data
In order to provide streams of video data utilized in the adaptive streaming of multimedia content, a media server can encode the multimedia content as alternative streams of video data. The media server can improve the speed and performance of encoding the alternative streams of video data by reusing encoding information determined in the encoding of one stream of video data in the encoding of one or more of the remaining streams of video data. A process for reusing encoding information in the encoding of alternative streams of video data for a source video is illustrated in
In several embodiments, encoding levels are determined (412) based upon factors including, but not limited to, anticipated network data rates, anticipated screen resolutions of network clients, and/or the resolution and/or bitrate of the source video. In a number of embodiments, encoding levels are determined (412) by retrieving stored values. In accordance with embodiments of the invention, an alternative stream of video data having a resolution and bitrate is encoded for each encoding level. In many embodiments, the alternative streams of video data have the same resolution and varying bitrates. In a number of embodiments, the selected (414) encoding level corresponds to the alternative stream of video data with the lowest bitrate. In several embodiments, the selected (414) encoding level corresponds to the alternative stream of video data with the highest bitrate. In a number of embodiments, a variety of determined (416) encoding information may be reused (418) across encoding levels having video data at the same resolution and varying bitrates, including, but not limited to, motion estimation results, the selection of weighted prediction weight(s), and determining scene changes. In accordance with embodiments of the invention, the encoding information can be reused (418) across encoding levels, resulting in a significant savings in computational complexity.
In several embodiments, the alternative streams of video data encoded based on the determined (412) encoding levels have varying resolutions and bitrates. In many embodiments, the selected (414) encoding level corresponds to an alternative stream of video data having the lowest resolution. In a number of embodiments, the selected (414) encoding level corresponds to an alternative stream of video data having the highest resolution. In a number of embodiments, the determined (416) encoding information is reused (418) across streams of video data having different resolutions. In accordance with many embodiments of the invention, the encoding information reused (418) may vary across encoding levels. For example, if the reused (418) encoding information is a motion vector, the motion vector can be scaled relative to the different resolutions of the alternative streams of video data. Other encoding information, such as the information listed above, may likewise be scaled between encoding levels corresponding to alternative streams of video data having different resolutions.
Although a specific process for the reuse of encoding information in the encoding of alternative streams of video data in accordance with an embodiment of the invention is discussed above, a variety of processes, including reusing encoding information not specifically listed and reusing encoding information in alternative streams of video data created at a later time following the initial determination of the encoding information, may be utilized in accordance with embodiments of the invention. A process for reusing motion estimations used in the encoding of alternative streams of video data in accordance with an embodiment of the invention is discussed below.
Reusing Motion Estimations in the Encoding of Alternative Streams of Video Data
A variety of video compression standards, such as H.264, may be utilized to encode alternative streams of video data for use in adaptive streaming systems. Many of the video compression standards utilize frames of video containing macroblocks, and the encoding of the stream of video data involves calculating motion estimations of the macroblocks between frames of video. In accordance with embodiments of the invention, the bitrate of a stream of video data can be varied by allocating the same number of bits to the motion estimations and increasing or decreasing the number of bits assigned to the description of the macroblocks.
A process for reusing motion estimations of the motion of macroblocks between alternative streams of video data derived from the same source video contained in a piece of multimedia content in accordance with an embodiment of the invention is illustrated in
Several methods exist for computing estimations of the motion of macroblocks in frames of video data, including, but not limited to, full searches, heuristic searches, and hierarchical estimations. Hierarchical estimations are commonly used because they provide an accurate result in a fast and efficient manner. A process for performing a hierarchical motion estimation of macroblocks in a frame of video data in accordance with an embodiment of the invention is illustrated in
Returning to
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 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. Accordingly, the scope of the invention should be determined not by the embodiments illustrated, but by the appended claims and their equivalents.
The present application is a continuation is a continuation of U.S. patent application Ser. No. 13/485,609 filed May 31, 2012, entitled Systems and Methods for the Reuse of Encoding Information in Encoding Alternative Streams of Video Data, the disclosure of which is incorporated herein by reference in its entirety.
| Number | Name | Date | Kind |
|---|---|---|---|
| 5477272 | Zhang et al. | Dec 1995 | A |
| 5592226 | Lee et al. | Jan 1997 | A |
| 5734822 | Houha et al. | Mar 1998 | A |
| 5794061 | Moussouris | Aug 1998 | A |
| 5822524 | Chen et al. | Oct 1998 | A |
| 5930473 | Teng et al. | Jul 1999 | A |
| 6075884 | Lubin et al. | Jun 2000 | A |
| 6118817 | Wang | Sep 2000 | A |
| 6192154 | Rajagopalan et al. | Feb 2001 | B1 |
| 6195388 | Choi et al. | Feb 2001 | B1 |
| 6229850 | Linzer et al. | May 2001 | B1 |
| 6233359 | Ratnakar et al. | May 2001 | B1 |
| 6330369 | Hoag et al. | Dec 2001 | B1 |
| 6343098 | Boyce | Jan 2002 | B1 |
| 6356668 | Honsinger et al. | Mar 2002 | B1 |
| 6563517 | Rubas | May 2003 | B1 |
| 6785704 | McCanne | Aug 2004 | B1 |
| 6859496 | Boroczky et al. | Feb 2005 | B1 |
| 6956901 | Boroczky et al. | Oct 2005 | B2 |
| 6970602 | Li et al. | Nov 2005 | B1 |
| 6976151 | Overkamp et al. | Dec 2005 | B1 |
| 6995769 | Ordentlich | Feb 2006 | B2 |
| 7224890 | Kato | May 2007 | B2 |
| 7330509 | Liu et al. | Feb 2008 | B2 |
| 7424160 | Basse | Sep 2008 | B1 |
| 7496283 | Evans et al. | Feb 2009 | B2 |
| 8023562 | Zheludkov et al. | Sep 2011 | B2 |
| 8054880 | Yu et al. | Nov 2011 | B2 |
| 8073275 | Raudnitz | Dec 2011 | B2 |
| 8180920 | Mills et al. | May 2012 | B2 |
| 8249168 | Graves | Aug 2012 | B2 |
| 8270473 | Chen et al. | Sep 2012 | B2 |
| 8311115 | Gu et al. | Nov 2012 | B2 |
| 8331439 | Sedeffow | Dec 2012 | B2 |
| 8351498 | Sedeffow | Jan 2013 | B2 |
| 8363715 | Sedeffow | Jan 2013 | B2 |
| 8588296 | Ding et al. | Nov 2013 | B2 |
| 8724691 | Sedeffow | May 2014 | B2 |
| 9350990 | Orton-Jay et al. | May 2016 | B2 |
| 9357210 | Orton-Jay et al. | May 2016 | B2 |
| 9532080 | Zurpal et al. | Dec 2016 | B2 |
| 10178399 | Orton-Jay et al. | Jan 2019 | B2 |
| 20020054636 | Yoneyama | May 2002 | A1 |
| 20020085638 | Morad et al. | Jul 2002 | A1 |
| 20020097750 | Gunaseelan et al. | Jul 2002 | A1 |
| 20020136296 | Stone et al. | Sep 2002 | A1 |
| 20020169823 | Coulombe | Nov 2002 | A1 |
| 20030002743 | Ohta | Jan 2003 | A1 |
| 20030007558 | Vetro et al. | Jan 2003 | A1 |
| 20030012275 | Boice et al. | Jan 2003 | A1 |
| 20030031371 | Kato et al. | Feb 2003 | A1 |
| 20030043905 | Nakayama et al. | Mar 2003 | A1 |
| 20030067981 | Zhao | Apr 2003 | A1 |
| 20030086597 | Ohta et al. | May 2003 | A1 |
| 20030228063 | Nakayama et al. | Dec 2003 | A1 |
| 20040165783 | Reynolds et al. | Aug 2004 | A1 |
| 20040255139 | Giobbi | Dec 2004 | A1 |
| 20050009519 | Murai et al. | Jan 2005 | A1 |
| 20050166245 | Shin | Jul 2005 | A1 |
| 20050251835 | Scott et al. | Nov 2005 | A1 |
| 20050278794 | Leinonen | Dec 2005 | A1 |
| 20060045020 | Picco et al. | Mar 2006 | A1 |
| 20060056508 | Lafon et al. | Mar 2006 | A1 |
| 20060078050 | Chen | Apr 2006 | A1 |
| 20060095942 | van | May 2006 | A1 |
| 20060095944 | Demircin et al. | May 2006 | A1 |
| 20060126728 | Yu et al. | Jun 2006 | A1 |
| 20060126948 | Fukuhara et al. | Jun 2006 | A1 |
| 20060154648 | Oh et al. | Jul 2006 | A1 |
| 20060165381 | Eckleder | Jul 2006 | A1 |
| 20060190410 | Harper | Aug 2006 | A1 |
| 20060198392 | Park | Sep 2006 | A1 |
| 20060268933 | Kellerer et al. | Nov 2006 | A1 |
| 20070002946 | Bouton et al. | Jan 2007 | A1 |
| 20070053444 | Shibata et al. | Mar 2007 | A1 |
| 20070074266 | Raveendran et al. | Mar 2007 | A1 |
| 20070086528 | Mauchly et al. | Apr 2007 | A1 |
| 20070086680 | Lim | Apr 2007 | A1 |
| 20070094691 | Gazdzinski | Apr 2007 | A1 |
| 20070098162 | Shin | May 2007 | A1 |
| 20070103484 | Hougui et al. | May 2007 | A1 |
| 20070153914 | Hannuksela et al. | Jul 2007 | A1 |
| 20070230586 | Shen et al. | Oct 2007 | A1 |
| 20070271106 | Lee et al. | Nov 2007 | A1 |
| 20070283269 | Obrador et al. | Dec 2007 | A1 |
| 20080037880 | Lai | Feb 2008 | A1 |
| 20080043831 | Sethuraman | Feb 2008 | A1 |
| 20080063051 | Kwon et al. | Mar 2008 | A1 |
| 20080084925 | Rozen et al. | Apr 2008 | A1 |
| 20080112483 | Lu et al. | May 2008 | A1 |
| 20080120676 | Morad et al. | May 2008 | A1 |
| 20080137736 | Richardson et al. | Jun 2008 | A1 |
| 20080192820 | Brooks et al. | Aug 2008 | A1 |
| 20080196076 | Shatz et al. | Aug 2008 | A1 |
| 20080273591 | Brooks et al. | Nov 2008 | A1 |
| 20080273593 | Sedeffow | Nov 2008 | A1 |
| 20080273594 | Sedeffow | Nov 2008 | A1 |
| 20080313680 | Suzanne | Dec 2008 | A1 |
| 20090003432 | Liu et al. | Jan 2009 | A1 |
| 20090016433 | Henocq et al. | Jan 2009 | A1 |
| 20090028428 | Dovstam et al. | Jan 2009 | A1 |
| 20090060033 | Kimmich et al. | Mar 2009 | A1 |
| 20090067489 | Jacobs | Mar 2009 | A1 |
| 20090067491 | Sun et al. | Mar 2009 | A1 |
| 20090086814 | Leontaris et al. | Apr 2009 | A1 |
| 20090086816 | Leontaris | Apr 2009 | A1 |
| 20090110070 | Takahashi et al. | Apr 2009 | A1 |
| 20090132721 | Soroushian et al. | May 2009 | A1 |
| 20090168880 | Jeon et al. | Jul 2009 | A1 |
| 20100020878 | Liang et al. | Jan 2010 | A1 |
| 20100034257 | Sedeffow | Feb 2010 | A1 |
| 20100061448 | Zhou | Mar 2010 | A1 |
| 20100070773 | Tanaka et al. | Mar 2010 | A1 |
| 20100111192 | Graves | May 2010 | A1 |
| 20100124274 | Cheok et al. | May 2010 | A1 |
| 20100189179 | Gu et al. | Jul 2010 | A1 |
| 20100189183 | Gu et al. | Jul 2010 | A1 |
| 20100195713 | Coulombe et al. | Aug 2010 | A1 |
| 20100266009 | Sedeffow | Oct 2010 | A1 |
| 20100316126 | Chen et al. | Dec 2010 | A1 |
| 20100322302 | Rodriguez | Dec 2010 | A1 |
| 20110090950 | Bush et al. | Apr 2011 | A1 |
| 20110090960 | Leontaris et al. | Apr 2011 | A1 |
| 20110129202 | Soroushian | Jun 2011 | A1 |
| 20110170790 | Cheon et al. | Jul 2011 | A1 |
| 20110255555 | Alexander | Oct 2011 | A1 |
| 20110268178 | Park et al. | Nov 2011 | A1 |
| 20110305273 | He et al. | Dec 2011 | A1 |
| 20110310216 | Lee et al. | Dec 2011 | A1 |
| 20120017249 | Ozawa | Jan 2012 | A1 |
| 20120173751 | Braness et al. | Jul 2012 | A1 |
| 20120177101 | van der Schaar | Jul 2012 | A1 |
| 20120307883 | Graves | Dec 2012 | A1 |
| 20130031206 | Miyazaki et al. | Jan 2013 | A1 |
| 20130034166 | Shiodera et al. | Feb 2013 | A1 |
| 20130044821 | Braness et al. | Feb 2013 | A1 |
| 20130128970 | Yu et al. | May 2013 | A1 |
| 20130322517 | Zurpal et al. | Dec 2013 | A1 |
| 20140015922 | Zhang | Jan 2014 | A1 |
| 20140241420 | Orton-Jay et al. | Aug 2014 | A1 |
| 20140241421 | Orton-Jay et al. | Aug 2014 | A1 |
| 20150036758 | Sato | Feb 2015 | A1 |
| 20160065959 | Stobaugh et al. | Mar 2016 | A1 |
| 20160249109 | Nelson | Aug 2016 | A1 |
| 20160261879 | Orton-Jay et al. | Sep 2016 | A1 |
| 20160335754 | Aaron et al. | Nov 2016 | A1 |
| 20160360202 | Xu et al. | Dec 2016 | A1 |
| 20170094279 | Piramanayagam et al. | Mar 2017 | A1 |
| 20170359580 | Su et al. | Dec 2017 | A1 |
| 20180276538 | Gopalan | Sep 2018 | A1 |
| 20190075301 | Chou et al. | Mar 2019 | A1 |
| 20190132591 | Zhang et al. | May 2019 | A1 |
| Number | Date | Country |
|---|---|---|
| 1120140 29794 | Jun 2017 | BR |
| 1684518 | Oct 2005 | CN |
| 105359511 | Feb 2016 | CN |
| 1585336 | Oct 2005 | EP |
| 1596594 | Nov 2005 | EP |
| 1626557 | Feb 2006 | EP |
| 1659736 | May 2006 | EP |
| 1732333 | Dec 2006 | EP |
| 1770957 | Apr 2007 | EP |
| 1786205 | May 2007 | EP |
| 2856751 | Apr 2015 | EP |
| 2962461 | Jan 2016 | EP |
| 3038370 | Jun 2016 | EP |
| 08195956 | Jul 1996 | JP |
| 2001503225 | Mar 2001 | JP |
| 2002142218 | May 2002 | JP |
| 2003299064 | Oct 2003 | JP |
| 2004320707 | Nov 2004 | JP |
| 2005229593 | Aug 2005 | JP |
| 2005260541 | Sep 2005 | JP |
| 2005311459 | Nov 2005 | JP |
| 2006033393 | Feb 2006 | JP |
| 2009502099 | Jan 2009 | JP |
| 2010258894 | Nov 2010 | JP |
| 2010262255 | Nov 2010 | JP |
| 2011029962 | Feb 2011 | JP |
| 2013026724 | Feb 2013 | JP |
| 2015523789 | Aug 2015 | JP |
| 2016526336 | Sep 2016 | JP |
| 201763495 | Mar 2017 | JP |
| 20160021141 | Feb 2016 | KR |
| 101823321 | Jan 2018 | KR |
| 1997004585 | Feb 1997 | WO |
| 9819460 | May 1998 | WO |
| 2000018137 | Mar 2000 | WO |
| 2000079801 | Dec 2000 | WO |
| 2005083917 | Sep 2005 | WO |
| 2006077526 | Jul 2006 | WO |
| 2007018669 | Feb 2007 | WO |
| 2007053957 | May 2007 | WO |
| 2008108966 | Sep 2008 | WO |
| 2010114092 | Oct 2010 | WO |
| 2012009485 | Jan 2012 | WO |
| 2013181013 | Dec 2013 | WO |
| 2013181013 | Dec 2013 | WO |
| 2014132098 | Sep 2014 | WO |
| 2014190308 | Nov 2014 | WO |
| 2016132148 | Aug 2016 | WO |
| 2017036370 | Mar 2017 | WO |
| Entry |
|---|
| “Advanced video coding for generic audiovisual services”, International Telecommunication Union ITU-T Recommendation H.264, Telecommunication Standardization Sector of ITU, Series H: Audiovisual and Multimedia Systems, May 7, 2004, pp. 13-26. |
| Extended European Search Report for European Application No. 13798009.0, Search completed Jan. 18, 2017, dated Jan. 26, 2017, 16 Pgs. |
| Extended European Search Report for European Application No. 13876558.1, Search completed Jun. 13, 2017, dated Jun. 20, 2017, 12 Pgs. |
| International Preliminary Report on Patentability for International Application PCT/IB2013/001122, Report Issued Sep. 1, 2015, dated Sep. 11, 2015, 11 Pgs. |
| International Preliminary Report on Patentability for International Application PCT/US2013/041874, report completed Dec. 2, 2014, 6 pages. |
| International Search Report and Written Opinion for International Application PCT/IB2013/001122, Search Completed Oct. 21, 2013, dated Nov. 5, 2013, 12 pages. |
| International Search Report and Written Opinion for International Application PCT/US2013/041874, Search completed Jul. 16, 2013, dated Jul. 24, 2013, 7 pages. |
| Partial Supplemental European Search Report for European Application No. 13798009.0, Search completed Aug. 31, 2016, dated Sep. 7, 2016, 6 pages. |
| International Search Report and Written Opinion for International Application PCT/US14/39425, Report Completed Sep. 15, 2014, dated Oct. 17, 2014, 9 pages. |
| “H.265—HEVC, High Efficiency Video Coding, A Complete Guide to the Latest Standard in Video Compression”, Apr. 13, 2013, Retrieved from https://www.encoding.com/h-265/ on Jun. 6, 2017, 3 pgs. |
| “MPEG-2 Part 1, ISO/IEC Standard 13818-1”, Generic Coding of Moving Pictures and Associated Audio: Systems, Nov. 13, 1994, 161 pgs. |
| “MPEG-4, Part 14, ISO/IEC 14496-14”, Information technology—Coding of audio-visual objects, Nov. 15, 2003, 18 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 pages. |
| Crusty, “The Unofficial XviD Faq”, XP002338686, Mar. 4, 2004, Retrieved from http://ronald.vslcatena.nl/docs/Xvid-F AQ-Crusty-04-03-2004.pdf on Jul. 28, 2005, 50 pages. |
| Jang et al., “An adaptive non-linear motion vector resampling algorithm for down-scaling video transcoding”, Proceedings of The 2003 International Conference on Multimedia and Expo, vol. 2, Jul. 6-9, 2003, Baltimore, Maryland, USA, pp. 229-232. |
| Mitsumura et al., “Analytical study of feedback-based rate control at application layer for video streaming services”, Technical study report of the institute of electronics, information and Communication Engineers, vol. 111, No. 468, ISSN: 0913-5685, Mar. 8-9, 2012, pp. 203 to 208. |
| Senda, Yuzo, “Seamless video service and video transcoder”, NEC technical journal, NEC Creative, vol. 51, No. 8, ISSN: 0285-4139, Aug. 25, 1998, pp. 46 to 49. |
| Westerink et al., “Two-pass MPEG⋅2 variable-bit-rate encoding”, IBM Journal of Research and Development, International Business Machines Corporation, XP002395114, ISSN: 0018-8646, vol. 43, No. 4, Jul. 4, 1999, New York, NY, USA, pp. 471-488. |
| Extended European Search Report for European Application No. 14800901.2, Search completed Dec. 2, 2016, dated Dec. 13, 2016, 13 Pgs. |
| International Search Report for International Application PCT/JP2010/056013, Search completed Apr. 20, 2010, dated May 11, 2010, 2 pgs. |
| Search report for Application GB0709009.5, dated Aug. 31, 2007, 1 pg. |
| Search report for Application GB0709030.1 , dated Aug. 31, 2007, 2 pg. |
| Search report for Application GB0709030.1 , dated Jan. 31, 2008, 2 pg. |
| Search Report for Application GB0906721.6, dated Jul. 24, 2009, 1 pg. |
| Anonymous, “Any DVD Converter”, Dec. 30, 2009, XP55005595, Retrieved from the Internet: http://web.archive.org/web/20091230041557/http://any-video-converter.com/products/for_dvd/ retrieved on Aug. 25, 2011. |
| Anonymous, “How to rip DVDs in Windows/Mac using Handbrake”, Oct. 3, 2008, Retrieved from the Internet: http://www.my-guides.net/en/content/view/111/26/ , retrieved on Aug. 30, 2011. |
| Anonymous, “Screenshot—Any DVD Converter”, Dec. 30, 2009, XP55005596, Retrieved from the Internet: url:http://web.archive.org/web/20091230070300/http://any-video-converter.com/products/for_dvd/screenshot.php retrieved on Aug. 25, 2011. |
| Bhat et al., “An architectural approach towards achieving bandwidth efficient content delivery”, 2016 Spring Technical Forum Proceedings, 8 pgs. |
| Chiariotti, “Reinforcement learning algorithms for DASH video streaming”, Thesis, University of Padova, Academic year 2014-2015, 91 pgs. |
| Fernandez Escribano et al., “Video Encoding and Transcoding Using Machine Learning”, MDM/KDD '08, Aug. 24, 2008, pp. 53-62. |
| Haskell et al, “Digital Video: An Introduction to MPEG-2”, Chapman and Hall, 1997, pp. 33, 35, 230, 232-233. |
| Hickson, Ian et al., “HTML5—A vocabulary and associated APIs for HTML and XHTML”, Mar. 4, 2010, 1-569. |
| Hunter, “Machine Learning and AI dominate SMPTE 2017 conference”, https://www.thebroadcastbridge.com/content/entry/9902/machine-learning-and-ai-dominate-smpte-2017-conference, 4 pgs. |
| Knight, Tony, “Metadata & the Supply Chain”, Mar. 24, 2011. |
| Lawson, Bruce, “Accessible HTML5 Video with JavaScripted captions”, Jan. 13, 2010. |
| Oh et al., “Action-Conditional Video Prediction Using Deep Networks in Atari Games”, Neural Information Processing Systems, 2015, 9 pgs. |
| Pieters, Simon, “Everything you need to know about Htmls video and audio”, Mar. 3, 2010. |
| Pilgrim, Mark, “Video on the Web”, Nov. 16, 2009. |
| Sambe et al., Yasuo, “High-speed Distributed Video Transcoding for Multiple Rates and Formats”, IEICE Transactions on Information and Systems, vol. E88-D Issue 8, Aug. 2005, pp. 1923-1931, XP-002516536. |
| Shen et al., Bo, “Caching Strategies in Transcoding-enabled Proxy Systems for Streaming Media Distribution Networks”, HP Laboratories Technical Report, HPL-2003-261, Dec. 10, 2003—, pp. 1-11,XP-002293154. |
| Srivastava et al., “Unsupervised Learning of Video Representations using LSTMs”, arXiv:1502.04681, 2015, 12 pgs. |
| Steck, Chris, “Delivering Total Mobile TV: Combining Streaming and Broadcast for a Complete Mobile Television Solution”, Dated Apr. 2006. Rev. 1.0.2,12 pages (emphasizing p. 9). |
| International Preliminary Report on Patentability for International Application PCT/US2014/039425, Report Issued Nov. 24, 2015, dated Dec. 3, 2015, 6 pgs. |
| Colah et al., “Understanding LSTM Networks”, colah.github.io/posts/2015-08-Understanding-LSTMs/, Aug. 27, 2015, 8 pgs. |
| Number | Date | Country | |
|---|---|---|---|
| 20170104989 A1 | Apr 2017 | US |
| Number | Date | Country | |
|---|---|---|---|
| Parent | 13485609 | May 2012 | US |
| Child | 15388466 | US |
