Google Inc.

Open Tv Corporation

Steve Benting

Vincent Louis Dureau

Manish Gordhan Patel

Joon-Hee Jeon

Zhenhai Lin

Lei Yang

Thierry Foucu

Sang-Uok Kum

Hugh Denman

Michael C Miller

Anil Christopher Kokaram

Sam John

Michael W Miller

Alexander Jay Converse

Joel Walter Zdepski

Alain Delpuch

Damien Kelly

Andrew Crawford

Neil Birkbeck

Jean-Rene Menand

Waiman Lam

Steven J Szymanski

Pierre Willard

Jeremy Doig

Prasanna Meda

Mehmet Hakan Isbiliroglu

Perry Tobin

Vahid Koussari-Amin

Isasi Inguva

Nicholas Fishwick

Yao-Chung Lin

Chao Chen

Nick Fishwick

Vahid Koussari

Hakan Isbiliroglu

Steven Szymanski

Nick Fischwick

A computer-implemented method includes receiving information expressing a user's interest in one or more media programs, obtaining information indicative of popularity for a plurality of media programs responsive to the received information by individuals other than the user, and transmitting one or more recommendations of media programs for display to the user, from the plurality of media programs that relate to the received information.

Recommending media programs based on media program popularity

An interactive multi-view module identifies a plurality of media items associated with one or more real-world events. Each of the plurality of media items is created by capturing the real-world events from a particular geographic location. The interactive multi-view module determines a geographic position associated with each of the media items and presents the media items in an interactive multi-view player interface based at least on the geographic positions. The interactive multi-view player interface allows a user to switch between of media items, and indicates at least one of a video density indicating a number of media items available at a given point in time or an event highlight indicating a popularity of the media items at a given point in time. The popularity of the respective media items is determined using one or more factors comprising a number of views of the media items at a given point in time.

Multi-view audio and video interactive playback

A request for a video may be received from a client device. A determination whether to transmit the video at a first video resolution or a second video resolution based on a quality of the video at the first video resolution when converted to the second video resolution at the client device may be made. The video may be transmitted to the client device at the determined first video resolution or the second video resolution.

Bitrate selection for video streaming

An interactive multi-view module identifies a plurality of media items associated with a real-world event, each of the plurality of media items comprising a video portion and an audio portion. The interactive multi-view module synchronizes the audio portions of each of the plurality of media items according to a common reference timeline, determines a relative geographic position associated with each of the plurality of media items and presents the plurality of media items in an interactive multi-view player interface based at least on the synchronized audio portions and the relative geographic positions.

Implementations disclose bitrate optimization for multi-representation encoding using playback statistics. A method includes generating multiple versions of a segment of a source video, the versions comprising encodings of the segment at different encoding bitrates for each resolution of the segment, measuring a quality metric for each version of the segment, generating rate-quality models for each resolution of the segment based on the measured quality metrics corresponding to the resolutions, generating a probability model to predict requesting probabilities that representations of the segment are requested, the probability model based on a joint probability distribution of network speed and viewport size that is generated from client-side feedback statistics associated with prior playbacks of other videos, determining an encoding bitrate for each of the representations of the segment based on the rate-quality models and the probability model, and assigning determined encoding bitrates to corresponding representations of the segment.

Bitrate optimization for multi-representation encoding using playback statistics

Videos associated with video resolutions may be received. A first bitrate for each of the video resolutions may be identified based on a first bitrate point associated with the videos where a quality of the videos at a first video resolution that is upscaled to a second video resolution is better than a quality of the videos at the second video resolution at bitrates below the first bitrate point. The upscaling of the first video resolution may correspond to converting the videos from the first video resolution to the second video resolution at a client device. The identified corresponding first bitrate may be assigned to each of the video resolutions.

A plurality of videos associated with a plurality of video resolutions may be received. A minimum bitrate may be identified for each of the video resolutions based on a first bitrate point associated with the videos where a quality of the videos at a first video resolution that is upscaled to a second video resolution is better than a quality of the videos at the second video resolution at bitrates below the first bitrate point. Furthermore, a maximum bitrate may be identified for each of the video resolutions based on a second bitrate point where the rate of change of the quality of the videos is below a threshold value. The identified minimum bitrates and the maximum bitrates may be assigned to the video resolutions.

This invention relates to methods and systems for the transmission and reception of targeted content. Using the systems and methods, a wide variety of different types of content can be targeted to a single client or a group of clients. The methods and systems utilize action handlers to handle different types of content. Further, the system can distribute packets with different rates depending on their priority.

Targeted content transmission and reception system

Adaptive video transcoding based on parallel chunked log analysis is described. The adaptive video transcoding method comprises receiving an intermediate video stream generated from an intermediate transcoding. The method also receives an intermediate transcoding log stream associated with the intermediate video stream. The method partitions the intermediate video stream into a plurality of video chunks, where each video chunk corresponding to a portion of video data of the video stream. The method further generates video chunk statistics for each of the video chunks using the intermediate transcoding log stream and transcoding parameters for each of the video chunks based on the generated video chunk statistics. The method transcodes each of the video chunks to a target format in parallel based on the generated transcoding parameters. The method assembles the transcoded video chunks into a target video stream in the target format.

Adaptive video transcoding based on parallel chunked log analysis

This invention relates to methods and systems for the broadcast and reception of targeted content. Using the systems and methods, a wide variety of different types of content can be targeted to a single client or a group of clients. The methods and systems utilize application handlers to handle different types of content. Further, the system can distribute packets with different rates depending on their priority.

Targeted content streaming and reception system

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San Mateo, CA, United States of America

Steve Benting