標題: A framework for video event classification by modeling temporal context of multimodal features using HMM
作者: Chen, Hsuan-Sheng
Tsai, Wen-Jiin
資訊工程學系
Department of Computer Science
關鍵字: Multimedia system;Video semantic analysis;Baseball event classification;Co-occurrence symbol;Interval-based multimodal feature;HMM;Probabilistic temporal modeling;Multivariate temporal data classification
公開日期: 1-Feb-2014
摘要: Semantic high-level event recognition of videos is one of most interesting issues for multimedia searching and indexing. Since low-level features are semantically distinct from high-level events, a hierarchical video analysis framework is needed, i.e., using mid-level features to provide clear linkages between low-level audio-visual features and high-level semantics. Therefore, this paper presents a framework for video event classification using temporal context of mid-level 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. (C) 2013 Elsevier Inc. All rights reserved.
URI: http://dx.doi.org/10.1016/j.jvcir.2013.12.001
http://hdl.handle.net/11536/23804
ISSN: 1047-3203
DOI: 10.1016/j.jvcir.2013.12.001
期刊: JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
Volume: 25
Issue: 2
起始頁: 285
結束頁: 295
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