C4.5: programs for machine learning
C4.5: programs for machine learning
Machine Learning
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
A region—based image database system using colour and texture
Pattern Recognition Letters - Special issue on pattern recognition in practice VI
Combining Classifiers with Meta Decision Trees
Machine Learning
Hierarchical decision making scheme for sports video categorisation with temporal post-processing
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
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Technology has been playing a major role in facilitating the capture, storage and communication of multimedia data, resulting in a large amount of video material being archived. To ensure its usability, the problem of automatic annotation of videos has been attracting the attention of much researches. This paper describes one aspect of the development of a novel system which will provide a semantic annotation of sports video. The system relies upon the concept of "cues" which attach semantic meaning to low-level features computed on the video and audio. We will discuss the problem of classifying shots, based on the cues they contain, into the sports they belong to. We adopt the multiple classifier system (MCS) approach to improve classification performance. Experimental results on sports video materials provided by the BBC demonstrate the benefits of the MCS approach in relation to this difficult classification problem.