An efficient video copy detection method combining vocabulary tree and inverted file

Authors:
Xuan Li;Bing Li;Weiming Hu;Jinfeng Yang
Affiliations:
College of Aviation Automation, Civil Aviation University of China, Tianjin, China;Institute of Automation, Chinese Academy of Sciences, Beijing, China;Institute of Automation, Chinese Academy of Sciences, Beijing, China;College of Aviation Automation, Civil Aviation University of China, Tianjin, China
Venue:
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Year:
2012

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Abstract

In this paper, we present an efficient content-based video copy detection method based on vocabulary tree and inverted files. The copy detection system exploits complementary local features and video sequence matching. Using two different local features, vocabulary trees and inverted files are built respectively to get keyframes matching result. Histogram-based and diagonal-based sequence matching approaches are applied to detect the copy video sequences. The experimental results on the TRECVID 2011 video copy detection dataset show that the proposed system is effective and efficient.