A Fast Video Copy Detection Approach by Dynamic Programming

Abstract

In the popularity of the web 2.0, transformed video copies can be found everywhere. For information retrieval, for instance, search engines can filter out videos with the same content. Also, video copy detection can protect the copyright. In this paper, we propose a fast content-based video copy detection approach by using a dynamic programming method based on discrete cosine transform to find video sequence matching. Experimental results confirm the effectiveness of the proposed approach using the large scale TRECVID2009 data set.