Towards a new approach to video copy detection using acoustic features

R. Roopalakshmi*, G. Ram Mohana Reddy

*Corresponding author for this work

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

Abstract

Acoustic features are robust and powerful in video description, but not fully exploited for the emerging Content-Based video Copy Detection (CBCD) methods. To solve this discrepancy, this paper proposes a new CBCD approach using audio spectral features compared to existing visual content based methods. The proposed method incorporates three stages: 1) Extraction of spectral descriptors including centroid and energy; 2) Integration of resultant features to compute highly informative spectral descriptive words; 3) Utilization of clustering approach to speed up the similarity matching process. The results tested on TRECVID-2008 dataset, demonstrate the improved detection accuracy of proposed method (up to 27.845%) compared to reference methods against various transformations such as fast forward, slow motion, mp3 compression, and multiband companding.

Original languageEnglish
Title of host publication2011 IEEE 5th International Conference on Internet Multimedia Systems Architecture and Application, IMSAA 2011 - Conference Proceedings
DOIs
Publication statusPublished - 2011
Event2011 IEEE 5th International Conference on Internet Multimedia Systems Architecture and Application, IMSAA 2011 - Bangalore, India
Duration: 12-12-201113-12-2011

Publication series

Name2011 IEEE 5th International Conference on Internet Multimedia Systems Architecture and Application, IMSAA 2011 - Conference Proceedings

Conference

Conference2011 IEEE 5th International Conference on Internet Multimedia Systems Architecture and Application, IMSAA 2011
Country/TerritoryIndia
CityBangalore
Period12-12-1113-12-11

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Hardware and Architecture

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