Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICIP.2004.1421545
Title: News sports video shot classification with sports play field and motion features
Authors: Wang, D.-H.
Tian, Q.
Gao, S.
Sung, W.-K. 
Issue Date: 2004
Source: Wang, D.-H.,Tian, Q.,Gao, S.,Sung, W.-K. (2004). News sports video shot classification with sports play field and motion features. Proceedings - International Conference on Image Processing, ICIP 4 : 2247-2250. ScholarBank@NUS Repository. https://doi.org/10.1109/ICIP.2004.1421545
Abstract: In this paper a novel sports news video shot classification method has been proposed. First two features based on motion and color are constructed and extracted from video shots: play field color ratio for specific types of sports, background motion and consistency ratio, then they are combined to generate an 11-dimension shot feature to feed into a C4.5 decision tree for shot classification. Based on our video data sets - the sports news video from the CNN Headline News video used in the TRECVID 2003, 7 predefined video shot classes were defined: 4 types of sports field video (basketball, baseball, ice hockey and golf), and sports news lead-in/lead-out, text, and others. Sports news video segments from 15 half-hour CNN News video were used for the training and testing. A performance of average precision and recall 88%, 82% has been achieved, respectively. The proposed method can be further developed and used to search news video for individual sports news and sports highlights. ©2004 IEEE.
Source Title: Proceedings - International Conference on Image Processing, ICIP
URI: http://scholarbank.nus.edu.sg/handle/10635/41429
ISBN: 0780385543
ISSN: 15224880
DOI: 10.1109/ICIP.2004.1421545
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