An effective multi-concept classifier for video streams

Shu Ching Chen, Mei-Ling Shyu, Min Chen

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

4 Citations (Scopus)

Abstract

In this paper, an effective multi-concept classifier is proposed for video semantic concept detection. The core of the proposed classifier is a supervised classification approach called C-RSPM (Collateral Representative Subspace Projection Modeling) which is applied to a set of multimodal video features for knowledge discovery. It adoptively selects nonconsecutive principal dimensions to form an accurate modeling of a representative subspace based on the statistical information analysis and thus achieves both promising classification accuracy and operational merits. Its effectiveness is demonstrated by the comparative experiment, as opposed to several wellknown supervised classification approaches including SVM, Decision Trees, Neural Network, Multinomial Logistic Regression Model, and One Rule Classifier, on goal/corner event detection and sports/commercials concepts extraction from soccer videos and TRECVID news collections.

Original languageEnglish
Title of host publicationProceedings - IEEE International Conference on Semantic Computing 2008, ICSC 2008
Pages80-87
Number of pages8
DOIs
StatePublished - Sep 25 2008
Event2nd Annual IEEE International Conference on Semantic Computing, ICSC 2008 - Santa Clara, CA, United States
Duration: Aug 4 2008Aug 7 2008

Other

Other2nd Annual IEEE International Conference on Semantic Computing, ICSC 2008
CountryUnited States
CitySanta Clara, CA
Period8/4/088/7/08

Fingerprint

Classifiers
Information analysis
Decision trees
Sports
Data mining
Logistics
Semantics
Neural networks
Experiments

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software

Cite this

Chen, S. C., Shyu, M-L., & Chen, M. (2008). An effective multi-concept classifier for video streams. In Proceedings - IEEE International Conference on Semantic Computing 2008, ICSC 2008 (pp. 80-87). [4597177] https://doi.org/10.1109/ICSC.2008.72

An effective multi-concept classifier for video streams. / Chen, Shu Ching; Shyu, Mei-Ling; Chen, Min.

Proceedings - IEEE International Conference on Semantic Computing 2008, ICSC 2008. 2008. p. 80-87 4597177.

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

Chen, SC, Shyu, M-L & Chen, M 2008, An effective multi-concept classifier for video streams. in Proceedings - IEEE International Conference on Semantic Computing 2008, ICSC 2008., 4597177, pp. 80-87, 2nd Annual IEEE International Conference on Semantic Computing, ICSC 2008, Santa Clara, CA, United States, 8/4/08. https://doi.org/10.1109/ICSC.2008.72
Chen SC, Shyu M-L, Chen M. An effective multi-concept classifier for video streams. In Proceedings - IEEE International Conference on Semantic Computing 2008, ICSC 2008. 2008. p. 80-87. 4597177 https://doi.org/10.1109/ICSC.2008.72
Chen, Shu Ching ; Shyu, Mei-Ling ; Chen, Min. / An effective multi-concept classifier for video streams. Proceedings - IEEE International Conference on Semantic Computing 2008, ICSC 2008. 2008. pp. 80-87
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