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Abstract: The problem of automatic sports video classification is considered. We develop a multistage decision making system that is founded on the concept of cues, i.e. pieces of visual evidence, characteristic of certain categories of sports that are extracted from key frames. The main decision making mechanism is a decision tree which generate hypotheses concerning the semantics of the sports video content. The final stage of the decision making process is a Hidden Markov Model system which bridges... (Update)
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BibTeX entry: (Update)
@misc{ jaser-hierarchical,
author = "Edward Jaser and Josef Kittler and William Christmas",
title = "Hierarchical Decision Making Scheme for Sports Video Categorisation with
Temporal Post-Processing",
url = "citeseer.ist.psu.edu/726842.html" }
Citations (may not include all citations):2177 Programs for machine learning (context) - Quinlan - 1993
1362 A Tutorial on Hidden Markov Models and Selected Applications.. (context) - Rabiner - 1989
26 Decision Trees as Probabilistic Classifiers (context) - Quinlan - 1987
14 Algorithms and System for Segmentation and Structure Analysi.. - Xu, Xie et al. - 2001
13 Colour Image Retrieval and Object Recognition Using the Mult.. - Matas, Koubaroulis et al. - 2000
12 Extract Highlights From Baseball Game Video With Hidden Mark.. - Chang, Han et al. - 2002
10 A Region-Based Image Database System Using Colour and Textur.. (context) - Messer, Kittler - 1999
3 Defining Quantisation Strategies and a Perceptual Similarity.. (context) - Levienaise-Obadia, Kittler et al. - 2000
3 Generation of Semantic Cues for Sports Video Annotation - Kittler, Messer et al. - 2001
3 HMM Based Structuring of Tennis Videos Using Visual and Audi.. (context) - Kijak, Gravier et al. - 2003
1 Building Classifier Ensembles for Automatic Sports Classific.. (context) - Jaser, Kittler et al. - 2003
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