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Analysis of Content Based Video Copy Detection using different Wavelet Transforms

Publication Date : 10/07/2015

Author(s) :

Dhruva Patil , Vishal Rajapure , Sanket Shete , Dipak Thoke.

Conference Name :
4th International Conference on Recent Trends in Engineering & Technology(ICRTET-2015) July 2-4,2015 Organized by SNJB's KBJ College of Engineering,Chandwad,Nashik,Maharashtra,India

Abstract :

With rapid advancements in digital videos, preservation and protection of the content from its misuse has become essential. The proposed system aims at a content based video copy detection, in the field of multimedia copyright issues. The experimental evaluation uses discrete wavelet transforms (DWT) as a tool based on global descriptors to obtain feature descriptors from video frames. A comparative analysis of different wavelets by using Euclidean and Canberra distance formulae for similarity search is studied for the performance of the proposed system. The detection system is validated using MUSCLE-VCD 2007.

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