Video event detection with combined distance-based and rule-based data mining techniques

Zongxing Xie, Mei Ling Shyu, Shu Ching Chen

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

12 Scopus citations

Abstract

In this paper, the rare event detection issue in video event detection is addressed through the proposed data mining framework which can be generalized to be domain independent. The fully automatic process via the combination of distance-based and rule-based data mining techniques can greatly reduce the number of negative (non-event) instances and the feature dimension to facilitate the final event detection, without pruning away any positive (event) testing instance along the process. The effectiveness and efficiency of the proposed framework are demonstrated over the goal event detection application based on a large collection of soccer videos with different styles.

Original languageEnglish (US)
Title of host publicationProceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007
PublisherIEEE Computer Society
Pages2026-2029
Number of pages4
ISBN (Print)1424410177, 9781424410170
DOIs
StatePublished - 2007
EventIEEE International Conference onMultimedia and Expo, ICME 2007 - Beijing, China
Duration: Jul 2 2007Jul 5 2007

Publication series

NameProceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007

Other

OtherIEEE International Conference onMultimedia and Expo, ICME 2007
CountryChina
CityBeijing
Period7/2/077/5/07

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Software

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  • Cite this

    Xie, Z., Shyu, M. L., & Chen, S. C. (2007). Video event detection with combined distance-based and rule-based data mining techniques. In Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007 (pp. 2026-2029). [4285078] (Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007). IEEE Computer Society. https://doi.org/10.1109/icme.2007.4285078