USING IMAGE SIMILARITY TO DEDUPLICATE VIDEO SUGGESTIONS BASED ON THUMBNAILS
    1.
    发明申请
    USING IMAGE SIMILARITY TO DEDUPLICATE VIDEO SUGGESTIONS BASED ON THUMBNAILS 审中-公开
    使用图像相似性来重写基于图像的视频建议

    公开(公告)号:US20170068870A1

    公开(公告)日:2017-03-09

    申请号:US14844178

    申请日:2015-09-03

    Applicant: Google Inc.

    CPC classification number: G06K9/00758 G06F16/50 G06F16/9038

    Abstract: A system and computer program product are provided for improving the utility of video recommendations in a content system via de-duplication of highly similar thumbnail images. For each video added to an online content system, a thumbnail image is generated and stored. For each such thumbnail image a compressed representation is computed. During playback of a video, a set of related videos is generated. For each video in the set, the corresponding thumbnail image and its compressed representation are retrieved. A measure of visual distance is computed for each pair in the set of representations, and measures indicating excess similarity are identified. Similarity is reduced via selective removal of some of the representations. An identification of the thumbnail images and videos corresponding to the remaining representations is produced.

    Abstract translation: 提供了一种系统和计算机程序产品,用于通过高度相似的缩略图图像的重复数据删除来改善内容系统中视频推荐的效用。 对于添加到在线内容系统的每个视频,生成并存储缩略图。 对于每个这样的缩略图,计算压缩表示。 在播放视频期间,生成一组相关视频。 对于集合中的每个视频,检索相应的缩略图图像及其压缩表示。 对该组表示中的每一对计算视觉距离的度量,并且识别指示超出相似性的度量。 通过选择性地删除一些表示来减少相似度。 产生与剩余表示相对应的缩略图像和视频的标识。

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