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Automatic summarization of broadcast cricket videos
conference contribution
posted on 2011-09-09, 00:00 authored by Y S Kumar, Sunil GuptaSunil Gupta, B R Kiran, K R Ramakrishnan, C BhattacharyyaSummarization 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.
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Event
IEEE International Symposim on Consumer Electronics (15th : 2011 : Singapore)Pagination
222 - 225Publisher
IEEELocation
SingaporePlace of publication
Piscataway, N.J.Publisher DOI
Start date
2011-06-14End date
2011-06-17ISBN-13
9781612848433Language
engPublication classification
E Conference publication; E1.1 Full written paper - refereedCopyright notice
2011, IEEETitle of proceedings
ISCE 2011 : Proceedings of the IEEE International Symposium on Consumer ElectronicsUsage metrics
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