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    • 1. 发明申请
    • NEAR-LOSSLESS VIDEO SUMMARIZATION
    • 近无障碍视频总结
    • US20110267544A1
    • 2011-11-03
    • US12768769
    • 2010-04-28
    • Tao MeiXian-Sheng HuaShipeng LiLin-Xie Tang
    • Tao MeiXian-Sheng HuaShipeng LiLin-Xie Tang
    • H04N5/14
    • H04N5/144G06K9/00751G11B27/034G11B27/105G11B27/28H04N19/159H04N19/25H04N19/61H04N21/816H04N21/84H04N21/8453H04N21/8455H04N21/8456H04N21/8549
    • Described is perceptually near-lossless video summarization for use in maintaining video summaries, which operates to substantially reconstruct an original video in a generally perceptually near-lossless manner. A video stream is summarized with little information loss by using a relatively very small piece of summary metadata. The summary metadata comprises an image set of synthesized mosaics and representative keyframes, audio data, and the metadata about video structure and motion. In one implementation, the metadata is computed and maintained (e.g., as a file) to summarize a relatively large video sequence, by segmenting a video shot into subshots, and selecting keyframes and mosaics based upon motion data corresponding to those subshots. The motion data is maintained as a semantic description associated with the image set. To reconstruct the video, the metadata is processed, including simulating motion using the image set and the semantic description, which recovers the audiovisual content without any significant information loss.
    • 描述的是用于维护视频摘要的感知上的近无损视频摘要,其操作以基本上以感知方式近无损的方式基本上重建原始视频。 通过使用相对非常小的汇总元数据,视频流总结了很少的信息丢失。 摘要元数据包括合成马赛克的图像集和代表性的关键帧,音频数据以及关于视频结构和运动的元数据。 在一个实施方式中,通过将视频拍摄分割为子照片,并且基于与这些子图片相对应的运动数据来选择关键帧和马赛克,计算和维护元数据(例如,作为文件)来总结相对较大的视频序列。 运动数据被保持为与图像集相关联的语义描述。 为了重建视频,处理元数据,包括使用图像集和语义描述来模拟运动,其恢复视听内容,而没有任何显着的信息丢失。