Technicolor challenge: an event classification framework by probabilistic context modeling of multimodal features

Authors:
Hsuan-Sheng Chen;Wen-Jiin Tsai
Affiliations:
National Chiao-Tung University, HsinChu, Taiwan Roc;National Chiao-Tung University, HsinChu, Taiwan Roc
Venue:
Proceedings of the 20th ACM international conference on Multimedia
Year:
2012

Citing 3
Cited 0

Mining Nonambiguous Temporal Patterns for Interval-Based Events

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Unsupervised content-based indexing of sports video

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Multimedia event-based video indexing using time intervals

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Abstract

Semantic high-level event recognition of videos is one of most interesting issues for multimedia searching and indexing. Since high-level events are usually domain-specific, a generic framework which can adapt itself to new domains without or with a few modifications is needed. To this end, this paper presents a generic framework for video event classification using temporal context of interval-based multimodal features. In the framework, a co-occurrence symbol transformation method is proposed to explore full temporal relations among multiple modalities in probabilistic HMM event classification. The results of our experiments on baseball video event classification demonstrate the superiority of the proposed approach.