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  • 标题:Video Copy Detection Using F-Sift and Graph Based Video Sequence Matching
  • 本地全文:下载
  • 作者:Anju P S ; Soumya Varma ; Vince Paul
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2015
  • 卷号:6
  • 期号:1
  • 页码:152-158
  • 出版社:TechScience Publications
  • 摘要:Content based copy detection aims to detect copies that of a given media. As with the growth of technology more and more media contents are available in the internet. This large number of copies leads to violation of digital rights. So we need an effective and efficient method to detect duplicated media contents. An auto dual threshold method is used to eliminate redundant video frames of a video segment which will reduce non necessary matching of video frames. Then used local features of F-SIFT for video content description. Flip-invariant SIFT (or F-SIFT), that preserves the original properties of SIFT while being tolerant to flip like transformations. Since matching computational cost of F-SIFT is very large, so uses an SVD-based technique to match two video frames with the SIFT point set descriptors. To obtain the video sequence matching result propose a graph- based method. It is used to convert the video sequence into identifying the longest path in the frames to identify the video matching-result with time constraint.
  • 关键词:FSIFT Feature; graph; SIFT Feature; SVD; and;graph Based matching
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