公开(公告)号：WO2020167785A1

公开(公告)日：2020-08-20

申请号：PCT/US2020/017691

申请日：2020-02-11

Applicant: BITMOVIN, INC.

Inventor： BENTALEB, Abdelhak ,  FILLAFER, Martin ,  WEINBERGER, Daniel

IPC: G06F15/16

Abstract: A multimedia player downloads chunks (parts of the segment file) during the download of a segment of a stream of segments of a low-latency stream. The first chunks of a segment may be downloaded while the segment is still being written to the CDN server. A chunk-based prediction adaptation logic uses throughput measurements on a chunk instead of a segment and specifically looks at bursts in a sliding window. This data is used to build a prediction of future throughput by applying linear adaptive filter algorithms that may rely on recursive least squares. This adaptation logic leads to very accurate bandwidth predictions and as a consequence, better user experience, compared to existing adaptation algorithms.

公开(公告)号：WO2019099621A1

公开(公告)日：2019-05-23

申请号：PCT/US2018/061214

申请日：2018-11-15

Applicant: BITMOVIN, INC.

Inventor： FELDMANN, Christian ,  SMOLE, Martin ,  MUELLER, Christopher ,  WEINBERGER, Daniel ,  TRATTNIG, Armin

IPC: G06F15/16

Abstract: A video streaming system optimizes the buffering of periods of frames of a video presentation in order to achieve a more constant perceptual quality throughout the entire video presentation. An adaption algorithm determines transmission bitrates to transmit some periods at a lower bitrate that the channel conditions of the channel may allow while transmitting other periods at a higher bitrate. The transmission bitrates are determined based on expected quality metadata signaled in the periods of the bitstream for the current period and following periods in order to optimize the bitrate and the expected perceptual quality of each version of each period over time.

公开(公告)号：WO2018236715A1

公开(公告)日：2018-12-27

申请号：PCT/US2018/038012

申请日：2018-06-18

Applicant: BITMOVIN, INC.

Inventor： KROEPFL, Lukas ,  HOFMEISTER, Wolfram ,  GRAF, Mario ,  WEINBERGER, Daniel ,  MUELLER, Christopher ,  GRANDL, Reinhard ,  LEDERER, Stefan

IPC: G06F3/01 ,  H04N21/845 ,  H04N21/44 ,  H04N13/00 ,  H04N21/462 ,  G06T15/20

Abstract: Bandwidth requirements for immersive video content playback is reduced while keeping the QoE on a satisfactory level and minimizing playback disruptions with a tile-based adaptive streaming algorithm. A playback device implements a tile-based streaming algorithm that downloads higher quality tiles before the user looks at them based on a prediction of where the user is likely to look at next. An artificial neural network ("ANN") is trained with recorded viewing data for immersive video content. This ANN is then used to predict where the user is likely to look at next for any given input video. The predictive streaming reduces bandwidth requirements for streaming immersive video and reduces content delivery/distribution network ("CDN") traffic, which in turn lessens the costs for the content provider.