Efficient video copy detection using simple and effective extraction of color features

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In the present Multimedia era, the exponential growth of illegal videos and huge piracy issues increased the importance of Content Based video Copy Detection (CBCD) techniques. CBCD systems require compact and computationally efficient descriptors for detecting video copies. In this paper, we propose a simple and efficient video signature scheme using Dominant Color Descriptors of MPEG-7 standard in order to implement the proposed CBCD task. Experimental results show that the proposed approach yields better detection rates when compared to that of existing approaches, against common transformations like Contrast change, Noise addition, Rotation, Zooming, Blurring etc. Further, evaluation results also prove that our scheme is computationally efficient by supporting substantial reduction in the total computational cost up to the extent of 65% when compared to that of existing schemes.

Original languageEnglish
Title of host publicationAdvances in Computing and Communications - First International Conference, ACC 2011, Proceedings
Pages473-480
Number of pages8
EditionPART 4
DOIs
Publication statusPublished - 2011
Event1st International Conference on Advances in Computing and Communications, ACC 2011 - Kochi, India
Duration: 22-07-201124-07-2011

Publication series

NameCommunications in Computer and Information Science
NumberPART 4
Volume193 CCIS
ISSN (Print)1865-0929

Conference

Conference1st International Conference on Advances in Computing and Communications, ACC 2011
Country/TerritoryIndia
CityKochi
Period22-07-1124-07-11

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • General Mathematics

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