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Multimedia database management systems
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Automatically extracting highlights for TV Baseball programs
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Linking live and replay scenes in broadcasted sports video
MULTIMEDIA '00 Proceedings of the 2000 ACM workshops on Multimedia
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Automatic detection of 'Goal' segments in basketball videos
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
XVIP: An XML-Based Video Information Processing System
COMPSAC '02 Proceedings of the 26th International Computer Software and Applications Conference on Prolonging Software Life: Development and Redevelopment
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Video OCR for Digital News Archive
CAIVD '98 Proceedings of the 1998 International Workshop on Content-Based Access of Image and Video Databases (CAIVD '98)
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XQuery: The XML Query Language
XQuery: The XML Query Language
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Generic play-break event detection for summarization and hierarchical sports video analysis
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Speech retrieval with video parsing for television news programs
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Shot boundary refinement for long transition in digital video sequence
IEEE Transactions on Multimedia
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IEEE Transactions on Multimedia
Automatic soccer video analysis and summarization
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Shot-boundary detection: unraveled and resolved?
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Sport video data is growing rapidly as a result of the maturing digital technologies that support digital video capture, faster data processing, and large storage. However, (1) semi-automatic content extraction and annotation, (2) scalable indexing model, and (3) effective retrieval and browsing, still pose the most challenging problems for maximizing the usage of large video databases. This article will present the findings from a comprehensive work that proposes a scalable and extensible sports video retrieval system with two major contributions in the area of sports video indexing and retrieval. The first contribution is a new sports video indexing model that utilizes semi-schema-based indexing scheme on top of an Object-Relationship approach. This indexing model is scalable and extensible as it enables gradual index construction which is supported by ongoing development of future content extraction algorithms. The second contribution is a set of novel queries which are based on XQuery to generate dynamic and user-oriented summaries and event structures. The proposed sports video retrieval system has been fully implemented and populated with soccer, tennis, swimming, and diving video. The system has been evaluated against 20 users to demonstrate and confirm its feasibility and benefits. The experimental sports genres were specifically selected to represent the four main categories of sports domain: period-, set-point-, time (race)-, and performance-based sports. Thus, the proposed system should be generic and robust for all types of sports.