Frame Fusion for Video Copy Detection

Frame Fusion for Video Copy Detection
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用于视频副本检测的帧融合

DOI:
10.1109/tcsvt.2011.2105554
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发表时间:
2011
期刊:
IEEE Trans. on Circuits and Systems for Video Technology
影响因子:
--
通讯作者:
Shikui Wei
Shikui Wei
中科院分区:
其他
文献类型:
--
作者:
Ce Zhu;Yao Zhao;Zhenfeng Zhu;Changsheng Xu;Shikui Wei

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鉴于视频共享网站日益普及,基于内容的视频副本检测对于版权保护非常重要,该网站的流行不仅涉及副本是否在查询视频流中发生,而且还涉及副本的所在位置以及副本的位置
Content-based video copy detection is very important for copyright protection in view of the growing popularity of video sharing websites, which deals with not only whether a copy occurs in a query video stream but also where the copy is located and where the copy is originated from. While a lot of work has addressed the problem with good performance, less effort has been made to consider the copy detection problem in the case of a continuous query stream, for which precise temporal localization and some complex video transformations like frame insertion and video editing need to be handled. We attempt to attack the problem by presenting a frame fusion based copy detection approach, which converts video copy detection to frame similarity search and frame fusion under a temporal consistency assumption. Our work focuses mainly on the frame fusion stage due to its critical role in copy detection performance. The proposed frame fusion scheme is based on a Viterbi-like algorithm, comprising an online back-tracking strategy with three relaxed constraints. The experimental results show that the proposed approach achieves high localization accuracy in both the query stream and the reference database even when a query video stream undergoes some complex transformations, while achieving comparable performance compared with state-of-the-art copy detection methods.
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