Title :
A statistical framework for replay detection in soccer video
Author :
Yang, Ying ; Lin, Shouxun ; Zhang, Yongdong ; Tang, Sheng
Author_Institution :
Key Lab. of Intell. Inf. Process., Chinese Acad. of Sci., Beijing
Abstract :
A novel statistical framework for replay detection is presented in this paper. Unlike current methods, the proposed framework exploits both inherent characters and transition relations of replay and non-replay scenes based on annotation of the video, which realizes segments and classifies video stream into replay and non-replay shots simultaneously. After annotation, the detected replay segment is further verified and its boundaries are adjusted to get more accurate replay segment considering probability distribution of lengths of replay and non-replay shots. Experimental results on soccer video are promising, demonstrating the effectiveness of the proposed framework.
Keywords :
image classification; image segmentation; signal detection; statistical distributions; video streaming; probability distribution; replay detection; soccer video; statistical framework; video classification; video segmentation; video streaming; Cameras; Computers; Event detection; Gunshot detection systems; Information processing; Laboratories; Layout; Machine learning; Probability distribution; Streaming media;
Conference_Titel :
Circuits and Systems, 2008. ISCAS 2008. IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-1683-7
Electronic_ISBN :
978-1-4244-1684-4
DOI :
10.1109/ISCAS.2008.4542223
