Titlebook: Image and Video Retrieval; Third International Peter Enser,Yiannis Kompatsiaris,Arnold W. M. Smeu Conference proceedings 2004 Springer-Ver

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HMM Model Selection Issues for Soccer Videoper, we provide an in-depth investigation into three Hidden Markov Model (HMM) selection approaches. Where HMM, a popular indexing framework, is often applied in a ad hoc manner. We investigate what effect, if any, poor HMM selection can have on future indexing performance when classifying specific

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Semantic Event Detection in Sports Through Motion Understandingviour of an object in the footage as being the embodiment of a particular semantic event. Broadcast snooker footage is used as an example of the sports footage for the purpose of this research. The system parses the sports video using the geometry of the content in view and classifies the footage as

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EDU: A Model of Video Summarizationfinally generates video summarization according to the utilities. As a general expandable model, EDU has a description scheme to save the preprocessed information, and a utility function based on the descriptions. The concepts and structures of EDU model are described in detail, and a method of news

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A News Video Mining Method Based on Statistical Analysis and Visualization into three steps: preprocess, news video data mining, and pattern visualization. In the first step, we concentrate on content-based segmentation, clustering and events detection to acquire the metadata. In the second step, we perform news video data mining by some statistical methods. Considering n

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