公开(公告)号：US10347294B2

公开(公告)日：2019-07-09

申请号：US15199269

申请日：2016-06-30

Applicant: Google Inc.

Inventor： Weilong Yang ,  Min-Hsuan Tsai ,  Zheng Sun ,  Pei Cao ,  Tomas Izo

IPC: G11B27/034 ,  G11B27/031 ,  G11B27/28 ,  G11B27/32 ,  G11B27/10 ,  G06T7/20 ,  G06T7/00 ,  G06F16/738 ,  G06F17/24 ,  G06K9/00 ,  H04N5/14 ,  H04N5/225 ,  H04N21/234 ,  H04N21/8549 ,  H04N17/00

Abstract: A method of generating a moving thumbnail is disclosed. The method includes sampling video frames of a video item. The method further includes determining frame-level quality scores for the sampled video frames. The method also includes determining multiple group-level quality scores for multiple groups of the sampled video frames using the frame-level quality scores of the sampled video frames. The method further includes selecting one of the groups of the sampled video frames based on the multiple group-level quality scores. The method includes creating a moving thumbnail using a subset of the video frames that have timestamps within a range from the start timestamp to the end timestamp.

公开(公告)号：US20160070962A1

公开(公告)日：2016-03-10

申请号：US14848216

申请日：2015-09-08

Applicant: Google Inc.

Inventor： Sanketh Shetty ,  Tomas Izo ,  Min-Hsuan Tsai ,  Sudheendra Vijayanarasimhan ,  Apostol Natsev ,  Sami Abu-El-Haija ,  George Dan Toderici ,  Susanna Ricco ,  Balakrishnan Varadarajan ,  Nicola Muscettola ,  WeiHsin Gu ,  Weilong Yang ,  Nitin Khandelwal ,  Phuong Le

IPC: G06K9/00 ,  G06F17/30

CPC classification number: G06K9/00718 ,  G06F17/30787 ,  G06K9/00744 ,  G06K9/00751 ,  G06K9/00765 ,  G06K2209/27

Abstract: A computer-implemented method for selecting representative frames for videos is provided. The method includes receiving a video and identifying a set of features for each of the frames of the video. The features including frame-based features and semantic features. The semantic features identifying likelihoods of semantic concepts being present as content in the frames of the video. A set of video segments for the video is subsequently generated. Each video segment includes a chronological subset of frames from the video and each frame is associated with at least one of the semantic features. The method generates a score for each frame of the subset of frames for each video segment based at least on the semantic features, and selecting a representative frame for each video segment based on the scores of the frames in the video segment. The representative frame represents and summarizes the video segment.

Abstract translation: 提供了一种用于选择视频的代表性帧的计算机实现的方法。 该方法包括接收视频并识别视频的每个帧的一组特征。 特征包括基于帧的特征和语义特征。 识别语义概念的可能性的语义特征作为视频帧中的内容呈现。 随后生成视频的一组视频段。 每个视频段包括来自视频的帧的按时间顺序的子集，并且每个帧与语义特征中的至少一个相关联。 该方法至少基于语义特征为每个视频段的帧子集的每帧生成分数，并且基于视频段中的帧的分数为每个视频段选择代表性的帧。 代表性的框架代表和总结视频段。

公开(公告)号：US20180005666A1

公开(公告)日：2018-01-04

申请号：US15199269

申请日：2016-06-30

Applicant: Google Inc.

Inventor： Weilong Yang ,  Min-Hsuan Tsai ,  Zheng Sun ,  Pei Cao ,  Tomas Izo

IPC: G11B27/034 ,  G06T7/20 ,  G11B27/10 ,  H04N17/00

CPC classification number: G11B27/034 ,  G06F16/739 ,  G06F17/241 ,  G06K9/00765 ,  G06T7/20 ,  G06T7/97 ,  G06T2207/10016 ,  G11B27/031 ,  G11B27/105 ,  G11B27/28 ,  G11B27/326 ,  H04N5/225 ,  H04N17/004 ,  H04N21/23418 ,  H04N21/8549

Abstract: A method of generating a moving thumbnail is disclosed. The method includes sampling video frames of a video item. The method further includes determining frame-level quality scores for the sampled video frames. The method also includes determining multiple group-level quality scores for multiple groups of the sampled video frames using the frame-level quality scores of the sampled video frames. The method further includes selecting one of the groups of the sampled video frames based on the multiple group-level quality scores. The method includes creating a moving thumbnail using a subset of the video frames that have timestamps within a range from the start timestamp to the end timestamp.