Video scene change detection method using unsupervised segmentation and object tracking

Shu Ching Chen, Mei Ling Shyu, Cheng Cui Zhang, R. L. Kashyap

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

29 Scopus citations

Abstract

In order to manage the growing amount of video information efficiently, a video scene change detection method is necessary. Many advanced video applications such as video on demand (VOD) and digital library also require the scene change detection to organize the video content. In this paper, we present an effective scene change detection method using an unsupervised segmentation algorithm and the technique of object tracking based on the results of the segmentation. Our results have shown that this method can perform not only accurate scene change detection, but also obtain object level information of the video frames, which is very useful for video content indexing and analysis.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE International Conference on Multimedia and Expo
PublisherIEEE Computer Society
Pages56-59
Number of pages4
ISBN (Electronic)0769511988
DOIs
StatePublished - Jan 1 2001
Event2001 IEEE International Conference on Multimedia and Expo, ICME 2001 - Tokyo, Japan
Duration: Aug 22 2001Aug 25 2001

Publication series

NameProceedings - IEEE International Conference on Multimedia and Expo
ISSN (Print)1945-7871
ISSN (Electronic)1945-788X

Other

Other2001 IEEE International Conference on Multimedia and Expo, ICME 2001
CountryJapan
CityTokyo
Period8/22/018/25/01

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

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  • Cite this

    Chen, S. C., Shyu, M. L., Zhang, C. C., & Kashyap, R. L. (2001). Video scene change detection method using unsupervised segmentation and object tracking. In Proceedings - IEEE International Conference on Multimedia and Expo (pp. 56-59). [1237654] (Proceedings - IEEE International Conference on Multimedia and Expo). IEEE Computer Society. https://doi.org/10.1109/ICME.2001.1237654