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Efficient copy detection for compressed digital videos by spatial and temporal feature extraction

机译：通过时空特征提取对压缩数字视频进行有效的拷贝检测

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摘要

This research aims at developing a practical video copy detection mechanism to determine whether an investigated video is a duplicated copy that may infringe the intellectual property rights. The significant features of original videos are extracted and stored in the server. Given an uploaded video, the same feature is extracted and compared with the stored ones to seek a possible match. Both the spatial and temporal features of compressed videos are employed in the proposed scheme. The scene-change detection is applied to select the key frames, from which the robust spatial features are extracted to help search visually similar frames. The shot lengths are used as the temporal features to further ensure the matching accuracy. To ensure that the proposed method is practical in considered applications, the size of stored features in the server, efficiency and accuracy of matching features are the major design principles. The experimental results by testing a large number of compressed videos demonstrate the feasibility of the proposed scheme.
机译：这项研究旨在开发一种实用的视频副本检测机制，以确定所调查的视频是否是可能侵犯知识产权的重复副本。原始视频的重要功能被提取并存储在服务器中。给定一个上传的视频，提取相同的特征并将其与存储的特征进行比较以寻找可能的匹配。压缩视频的空间和时间特征都在提出的方案中使用。应用场景更改检测来选择关键帧，然后从中提取鲁棒的空间特征以帮助搜索视觉上相似的帧。射击长度用作时间特征，以进一步确保匹配精度。为了确保所提出的方法在考虑的应用中可行，服务器中存储的特征的大小，匹配特征的效率和准确性是主要的设计原则。通过测试大量压缩视频的实验结果证明了该方案的可行性。

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