Please use this identifier to cite or link to this item: https://idr.l1.nitk.ac.in/jspui/handle/123456789/8913
Title: Recent trends in content-based video copy detection
Authors: Roopalakshmi, R.
Ram Mohana Reddy, Guddeti
Issue Date: 2010
Citation: 2010 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2010, 2010, Vol., , pp.404-408
Abstract: Video copy detection is an interesting & challenging problem, as it is becoming increasingly important with the growing rate of illegal digital media and huge piracy issues. Therefore, in the present era of Internet &Multimedia technologies,the existence of ubiquitous digital videos, has led to the requirement of robust video copy detection techniques, for content management and copyright protection. In this paper, an overview of content based video copy detection (CBVCD) is presented along with the different state-of-the-art techniques used for video feature/ signature description. This article also explores the future key directions and highlights the research challenges that need to be addressed in the CBVCD paradigm. � 2010 IEEE.
URI: https://idr.nitk.ac.in/jspui/handle/123456789/8913
Appears in Collections:2. Conference Papers

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