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A novel CBCD approach using MPEG-7 motion activity descriptors

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

Abstract

Motion features contribute significant information about a video content. This paper highlights a novel CBCD (Content-Based Copy Detection) approach, by incorporating several motion activity features. First, we extract both temporal and spatial motion features to describe overall activity of a video sequence. Second, we combine these features in a feasible manner, to generate robust video fingerprints. Third, clustering based pruned search is utilized for similarity matching instead of direct searching of video fingerprints. The proposed system is tested on TRECVID-2007 data set and the results demonstrate the effectiveness of the proposed system against several transformations such as random noise, fast forward, pattern insertion, cropping and picture-inside-picture.

Original languageEnglish
Title of host publicationProceedings - 2011 IEEE InternationalSymposium on Multimedia, ISM 2011
Pages179-184
Number of pages6
DOIs
Publication statusPublished - 2011
Event13th IEEE International Symposium on Multimedia, ISM 2011 - Dana Point, CA, United States
Duration: 05-12-201107-12-2011

Publication series

NameProceedings - 2011 IEEE InternationalSymposium on Multimedia, ISM 2011

Conference

Conference13th IEEE International Symposium on Multimedia, ISM 2011
Country/TerritoryUnited States
CityDana Point, CA
Period05-12-1107-12-11

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

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