Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
A system and method are disclosed for transcoding a video clip. In one implementation, a computer system determines N frames at which to divide a video clip into N+1 consecutive chunks, where N is a positive integer, and where the frames are determined based on the image content of the video clip, a minimum chunk size, and a maximum chunk size. Each of the N+1 chunks is provided to a respective processor for transcoding, and a transcoded video clip is generated from the transcoded N+1 chunks.