Video semantic concept detection via associative classification

Lin Lin, Mei-Ling Shyu, Guy Ravitz, Shu Ching Chen

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

18 Scopus citations

Abstract

Associative classification (AC) has been studied in the areas of content-based multimedia retrieval and semantic concept detection due to its high accuracy. The traditional AC algorithm discovers the association rules with the frequency count (minimum support) and ranking threshold (minimum confidence) while restricted to the concepts (class labels). In this paper, we propose a novel framework with a new associative classification algorithm which generates the classification rules based on the correlation between different feature-value pairs and the concept classes by using Multiple Correspondence Analysis (MCA). Experimenting with the high-level features and benchmark data sets from TRECVID, our proposed algorithm achieves promising performance and outperforms three well-known classifiers which are commonly used for performance comparison in the TRECVID community.

Original languageEnglish
Title of host publicationProceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009
Pages418-421
Number of pages4
DOIs
StatePublished - Nov 20 2009
Event2009 IEEE International Conference on Multimedia and Expo, ICME 2009 - New York, NY, United States
Duration: Jun 28 2009Jul 3 2009

Other

Other2009 IEEE International Conference on Multimedia and Expo, ICME 2009
CountryUnited States
CityNew York, NY
Period6/28/097/3/09

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Keywords

  • Associative classification
  • Concept detection
  • Multiple correspondence analysis

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Networks and Communications
  • Hardware and Architecture
  • Software

Cite this

Lin, L., Shyu, M-L., Ravitz, G., & Chen, S. C. (2009). Video semantic concept detection via associative classification. In Proceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009 (pp. 418-421). [5202523] https://doi.org/10.1109/ICME.2009.5202523