Automatic summarization of broadcast cricket videos

Kumar, Y. Senthil, Gupta, Sunil Kumar, Kiran, B. Ravi, Ramakrishnan, K.R. and Bhattacharyya, C. 2011, Automatic summarization of broadcast cricket videos, in ISCE 2011 : Proceedings of the IEEE International Symposium on Consumer Electronics, IEEE, Piscataway, N.J., pp. 222-225, doi: 10.1109/ISCE.2011.5973819.

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Title Automatic summarization of broadcast cricket videos
Author(s) Kumar, Y. Senthil
Gupta, Sunil KumarORCID iD for Gupta, Sunil Kumar
Kiran, B. Ravi
Ramakrishnan, K.R.
Bhattacharyya, C.
Conference name IEEE International Symposim on Consumer Electronics (15th : 2011 : Singapore)
Conference location Singapore
Conference dates 14-17 Jun. 2011
Title of proceedings ISCE 2011 : Proceedings of the IEEE International Symposium on Consumer Electronics
Publication date 2011
Start page 222
End page 225
Total pages 4
Publisher IEEE
Place of publication Piscataway, N.J.
Summary Summarization of cricket videos is very important because of three reasons: 1) its long duration making manual highlights generation tedious 2) less explored area compared to other sports like soccer 3) huge viewership. We propose a novel summarization scheme for cricket which exploits its contextual semantics. First, we detect the bowling frames based on which the video is temporally segmented into individual deliveries. Then each temporal segment representing a delivery is classified into an interesting or non-interesting segment based on detection of events namely boundaries and wickets. Due to the high frequency of ads and replays in cricket, we have proposed robust algorithms for their removal. Finally, we have proposed a finite state automaton based modeling of the temporal segments to extract key-frames. We have also extended the framework to include text cues and expert choices and also developed a hierarchical summary. We have tested our algorithm on several broadcast cricket videos and obtained good results.
ISBN 9781612848433
Language eng
DOI 10.1109/ISCE.2011.5973819
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1.1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2011, IEEE
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Document type: Conference Paper
Collection: Centre for Pattern Recognition and Data Analytics
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