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Reseach Article

Efficient and Scalable Content- based Video Copy Detection System

Published on April 2012 by M. Ramya, R. Kanthvel
International Conference in Recent trends in Computational Methods, Communication and Controls
Foundation of Computer Science USA
ICON3C - Number 7
April 2012
Authors: M. Ramya, R. Kanthvel
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M. Ramya, R. Kanthvel . Efficient and Scalable Content- based Video Copy Detection System. International Conference in Recent trends in Computational Methods, Communication and Controls. ICON3C, 7 (April 2012), 28-32.

@article{
author = { M. Ramya, R. Kanthvel },
title = { Efficient and Scalable Content- based Video Copy Detection System },
journal = { International Conference in Recent trends in Computational Methods, Communication and Controls },
issue_date = { April 2012 },
volume = { ICON3C },
number = { 7 },
month = { April },
year = { 2012 },
issn = 0975-8887,
pages = { 28-32 },
numpages = 5,
url = { /proceedings/icon3c/number7/6053-1054/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference in Recent trends in Computational Methods, Communication and Controls
%A M. Ramya
%A R. Kanthvel
%T Efficient and Scalable Content- based Video Copy Detection System
%J International Conference in Recent trends in Computational Methods, Communication and Controls
%@ 0975-8887
%V ICON3C
%N 7
%P 28-32
%D 2012
%I International Journal of Computer Applications
Abstract

A video copy detection system is an emerging research area that has received a considerable amount of attention in recent years. The main goal of content based video copy detection system is to find whether a query video is copied from video in a video database or not. This paper uses strengths of TIRI-DCT algorithm, content based features for finger-print generation of a particular video, and two fast search methods for efficient match of finger-prints within a large database. The contribution of this paper include, extracting compact content-based signatures from TIRI image constructed from the video. To detect query video is pirated video or not, the finger-prints of all the videos in the database are extracted and stored in advance. The search algorithm searches the stored fingerprints to find close enough matches for the finger-prints of the query video. The proposed system can be used for video indexing and copyright applications.

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Index Terms

Computer Science
Information Sciences

Keywords

Content Based Finger-printing Multimedia Duplicate Detection Multimedia Finger-printing Video Copy Detection Video Copy Retrieval