公开(公告)号：US20160182921A1

公开(公告)日：2016-06-23

申请号：US15057045

申请日：2016-02-29

Applicant: Google Inc.

Inventor： Alberto Martin ,  David Dorwin

IPC: H04N21/234 ,  H04N21/81 ,  H04N21/658 ,  H04N21/442 ,  H04N21/472

CPC classification number: H04N21/23418 ,  H04N21/23424 ,  H04N21/44222 ,  H04N21/47217 ,  H04N21/6582 ,  H04N21/812

Abstract: A video is analyzed to identify interest level for a plurality of frames. The interest level is determined based on analysis of the content of each of the plurality of frames or how often other clients view the frames or take actions while viewing the frames. Frames are clustered and key frame locations are determined for each of the clusters. Key frames are given a higher buffering priority than non key frames. Buffering of key frames is prioritized based on key frame interest level. Key frames are also utilized to enable a client to skip forward or backward between key frames and view content that is likely to be of interest to the user.

Abstract translation: 分析视频以识别多个帧的兴趣级别。 基于对多个帧中的每一个的内容的分析或其他客户端在查看帧时查看帧或采取动作的频率来确定兴趣级别。 帧被聚类，并且为每个簇确定关键帧位置。 给予关键帧比非关键帧更高的缓冲优先级。 关键帧的缓冲优先于关键帧兴趣级别。 关键帧也用于使客户端能够在关键帧之间向前或向后跳过并查看可能对用户感兴趣的内容。

公开(公告)号：US09973788B2

公开(公告)日：2018-05-15

申请号：US15057045

申请日：2016-02-29

Applicant: Google Inc.

Inventor： Alberto Martin ,  David Dorwin

IPC: H04H60/32 ,  H04N21/234 ,  H04N21/442 ,  H04N21/472 ,  H04N21/658 ,  H04N21/81

CPC classification number: H04N21/23418 ,  H04N21/23424 ,  H04N21/44222 ,  H04N21/47217 ,  H04N21/6582 ,  H04N21/812

Abstract: A video is analyzed to identify interest level for a plurality of frames. The interest level is determined based on analysis of the content of each of the plurality of frames or how often other clients view the frames or take actions while viewing the frames. Frames are clustered and key frame locations are determined for each of the clusters. Key frames are given a higher buffering priority than non key frames. Buffering of key frames is prioritized based on key frame interest level. Key frames are also utilized to enable a client to skip forward or backward between key frames and view content that is likely to be of interest to the user.

公开(公告)号：US09307269B2

公开(公告)日：2016-04-05

申请号：US13830941

申请日：2013-03-14

Applicant: Google Inc.

Inventor： Alberto Martin ,  David Dorwin

IPC: H04H60/32 ,  H04N21/234 ,  H04N21/442 ,  H04N21/472 ,  H04N21/658 ,  H04N21/81

CPC classification number: H04N21/23418 ,  H04N21/23424 ,  H04N21/44222 ,  H04N21/47217 ,  H04N21/6582 ,  H04N21/812

Abstract: A video is analyzed to identify interest level for a plurality of frames. The interest level is determined based on analysis of the content of each of the plurality of frames or how often other clients view the frames or take actions while viewing the frames. Frames are clustered and key frame locations are determined for each of the clusters. Key frames are given a higher buffering priority than non key frames. Buffering of key frames is prioritized based on key frame interest level. Key frames are also utilized to enable a client to skip forward or backward between key frames and view content that is likely to be of interest to the user.

Abstract translation: 分析视频以识别多个帧的兴趣级别。 基于对多个帧中的每一个的内容的分析或其他客户端在查看帧时查看帧或采取动作的频率来确定兴趣级别。 帧被聚类，并且为每个簇确定关键帧位置。 给予关键帧比非关键帧更高的缓冲优先级。 关键帧的缓冲优先于关键帧兴趣级别。 关键帧也用于使客户端能够在关键帧之间向前或向后跳过并查看可能对用户感兴趣的内容。

公开(公告)号：US20140282661A1

公开(公告)日：2014-09-18

申请号：US13830941

申请日：2013-03-14

Applicant: Google Inc.

Inventor： Alberto Martin ,  David Dorwin

IPC: H04N21/442

CPC classification number: H04N21/23418 ,  H04N21/23424 ,  H04N21/44222 ,  H04N21/47217 ,  H04N21/6582 ,  H04N21/812

Abstract: A video is analyzed to identify interest level for a plurality of frames. The interest level is determined based on analysis of the content of each of the plurality of frames or how often other clients view the frames or take actions while viewing the frames. Frames are clustered and key frame locations are determined for each of the clusters. Key frames are given a higher buffering priority than non key frames. Buffering of key frames is prioritized based on key frame interest level. Key frames are also utilized to enable a client to skip forward or backward between key frames and view content that is likely to be of interest to the user.

Abstract translation: 分析视频以识别多个帧的兴趣级别。 基于对多个帧中的每一个的内容的分析或其他客户端在查看帧时查看帧或采取动作的频率来确定兴趣级别。 帧被聚类，并且为每个簇确定关键帧位置。 给予关键帧比非关键帧更高的缓冲优先级。 关键帧的缓冲优先于关键帧兴趣级别。 关键帧也用于使客户端能够在关键帧之间向前或向后跳过并查看可能对用户感兴趣的内容。