標題: HMM-based ball hitting event exploration system for broadcast baseball video
作者: Chen, Hua-Tsung
Chou, Chien-Li
Tsai, Wei-Chin
Lee, Suh-Yin
Lin, Bao-Shuh P.
資訊工程學系
Department of Computer Science
關鍵字: Multimedia system;Highlight detection;Baseball even recognition;Features extraction;HMM;Scene classification;Sports video analysis;Pattern recognition
公開日期: 1-七月-2012
摘要: With the dramatic growth of fandom population, a considerable amount of research efforts have been devoted to baseball video processing. However, little work focuses on the detailed follow-ups of ball hitting events. This paper proposes a HMM-based ball hitting event exploration system for broadcast baseball video. Utilizing the strictly-defined layout of the baseball field, the proposed system first detects the game-specific spatial patterns in the field, such as the field lines, the bases, the pitch mound, etc. Then, the play region the currently camera-focused region of the baseball field is identified for frame type classification. Since the temporal patterns of presenting the game progress follow a prototypical order, we consider the classified frame types as observation symbols and recognize ball hitting events using HMM. Experiments conducted on broadcast baseball video show encouraging results in frame type classification and ball hitting event recognition. Three practical applications, including highlight clip extraction by user-designated query, storyboard construction, and similar event retrieval, are introduced to address the applicability of our system. (C) 2012 Elsevier Inc. All rights reserved.
URI: http://dx.doi.org/10.1016/j.jvcir.2012.03.006
http://hdl.handle.net/11536/20939
ISSN: 1047-3203
DOI: 10.1016/j.jvcir.2012.03.006
期刊: JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
Volume: 23
Issue: 5
起始頁: 767
結束頁: 781
顯示於類別:期刊論文


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