公开(公告)号：US10255947B2

公开(公告)日：2019-04-09

申请号：US14841533

申请日：2015-08-31

Applicant: NETFLIX, INC.

Inventor： Sreeram Chakrovorthy ,  Shinjan Tiwary ,  Harold Sutherland ,  Rohit Puri

IPC: G11B27/00 ,  H04N5/93 ,  G11B27/031 ,  G11B27/34 ,  G11B27/36 ,  H04N21/262 ,  H04N21/239 ,  G11B27/02 ,  H04N21/234 ,  H04N21/2368 ,  H04N21/434 ,  H04N21/44

Abstract: One embodiment of the present invention sets forth a technique for mitigating drift in audiovisual assets. The technique includes determining that an edit associated with a presentation timeline is within boundaries of a video frame. The technique further includes calculating a temporal drift associated with the edit, where the temporal drift comprises a duration of time between the edit and a boundary of the video frame. The technique further includes determining whether to include the video frame in the presentation timeline based on the temporal drift and an accumulated temporal drift associated with the presentation timeline.

公开(公告)号：US20200160889A1

公开(公告)日：2020-05-21

申请号：US16687209

申请日：2019-11-18

Applicant: NETFLIX, INC.

Inventor： Rohit Puri ,  Naji Khosravan ,  Shervin Ardeshir Behrostaghi

IPC: G11B27/36 ,  G10L25/57 ,  G10L25/30 ,  G06K9/00 ,  G06K9/62 ,  G06N3/04 ,  G06N3/08

Abstract: A neural network system that is trained to identify one or more portions of a media title where synchronization errors are likely to be present. The neural network system is trained based on a first set of media titles where synchronization errors are present and a second set of media titles where synchronization errors are absent. The second set of media titles can be generated by introducing synchronization errors into a set of media titles that otherwise lack synchronization errors. Via training, the neural network system learns to identify specific visual features included in one or more video frames and corresponding audio features that should be played back in synchrony with the associated visual features. Accordingly, when presented with a media title that includes synchronization errors, the neural network can indicate the specific frames where synchronization errors are likely to be present.

公开(公告)号：US20170062007A1

公开(公告)日：2017-03-02

申请号：US14841533

申请日：2015-08-31

Applicant: NETFLIX, INC.

Inventor： Sreeram Chakravarthy ,  Shinjan Tiwary ,  Harold Sutherland ,  Rohit Puri

IPC: G11B27/031 ,  H04N21/239 ,  H04N21/262 ,  G11B27/34 ,  G11B27/36

CPC classification number: G11B27/031 ,  G11B27/02 ,  G11B27/34 ,  G11B27/36 ,  H04N21/23424 ,  H04N21/2368 ,  H04N21/2393 ,  H04N21/2625 ,  H04N21/4341 ,  H04N21/4344 ,  H04N21/44016

Abstract: One embodiment of the present invention sets forth a technique for mitigating drift in audiovisual assets. The technique includes determining that an edit associated with a presentation timeline is within boundaries of a video frame. The technique further includes calculating a temporal drift associated with the edit, where the temporal drift comprises a duration of time between the edit and a boundary of the video frame. The technique further includes determining whether to include the video frame in the presentation timeline based on the temporal drift and an accumulated temporal drift associated with the presentation timeline.

Abstract translation: 本发明的一个实施例提出了一种减轻视听资产漂移的技术。 该技术包括确定与呈现时间线相关联的编辑在视频帧的边界内。 该技术还包括计算与编辑相关联的时间漂移​​，其中时间漂移包括编辑和视频帧的边界之间的持续时间。 该技术还包括基于时间漂移和与呈现时间线相关联的累积时间漂移来确定是否将视频帧包括在演示时间线中。