Title: Content-based organisation, analysis and retrieval of soccer video

Authors: Junqing Yu, Yunfeng He, Kai Sun, Xingming Ouyang

Addresses: School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China. ' School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China. ' School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China. ' School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China

Abstract: A hierarchical organising model based-on MPEG-7 is introduced to effectively represent high-level and low-level information in soccer video. To effectively retrieve highlight clip of soccer video, adaptive abstraction is designed based on the excitement time curve, and an XML-based query scheme for semantic search and retrieval is proposed based on the hierarchical model. For retrieval, XQuery, a XML query language, is employed in the proposed querying framework. The proposed framework employs visual, audio, and cinematic features, and can be scalable to different preferences and requirements. Its efficiency, effectiveness, and the robustness of the proposed framework have been demonstrated over our extensive experiments.

Keywords: hierarchical organisation models; soccer videos; football videos; event detection; semantic retrieval; MPEG-7; videos clips; video clip retrieval; excitement time curve; XML-based queries; content analysis; content retrieval.

DOI: 10.1504/IJCAT.2010.034140

International Journal of Computer Applications in Technology, 2010 Vol.38 No.1/2/3, pp.64 - 73

Available online: 16 Jul 2010 *

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