A compact, effective descriptor for video copy detection

Mei Chen Yeh*, Kwang Ting Cheng

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

32 引文 斯高帕斯(Scopus)

摘要

Large scale video copy detection tasks require a compact and computational-efficient descriptor that is robust to various transformations that are typically applied to generate copies. In this paper, we propose a new frame-level descriptor for such a task. The descriptor encodes the internal structure of a video frame by computing the pair-wise correlations between geometrically pre-indexed blocks. It is conceptually simple, small in size, and fast to compute. Experiments using the MUSCLE VCD benchmark show its superior performance compared to existing approaches.

原文英語
主出版物標題MM'09 - Proceedings of the 2009 ACM Multimedia Conference, with Co-located Workshops and Symposiums
頁面633-636
頁數4
DOIs
出版狀態已發佈 - 2009 十二月 28
對外發佈
事件17th ACM International Conference on Multimedia, MM'09, with Co-located Workshops and Symposiums - Beijing, 中国
持續時間: 2009 十月 192009 十月 24

出版系列

名字MM'09 - Proceedings of the 2009 ACM Multimedia Conference, with Co-located Workshops and Symposiums

其他

其他17th ACM International Conference on Multimedia, MM'09, with Co-located Workshops and Symposiums
國家/地區中国
城市Beijing
期間2009/10/192009/10/24

ASJC Scopus subject areas

  • 計算機理論與數學
  • 電腦科學應用
  • 電腦視覺和模式識別
  • 軟體

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