A fuzzy video content representation for video summarization and content-based retrieval
Signal Processing - Special issue on fuzzy logic in signal processing
GA, MR, FFNN, PNN and GMM based models for automatic text summarization
Computer Speech and Language
Event-Based Soccer Video Retrieval with Interactive Genetic Algorithm
ISISE '08 Proceedings of the 2008 International Symposium on Information Science and Engieering - Volume 02
A framework for flexible summarization of racquet sports video using multiple modalities
Computer Vision and Image Understanding
Automatic extraction of highlights from a cricket video using MPEG-7 descriptors
COMSNETS'09 Proceedings of the First international conference on COMmunication Systems And NETworks
Sports video mining via multichannel segmental hidden Markov models
IEEE Transactions on Multimedia
Semantic concept mining in cricket videos for automated highlight generation
Multimedia Tools and Applications
Text driven temporal segmentation of cricket videos
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
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Sports video mining has gained a lot of popularity in recent years. In this paper, we propose a flexible framework for summarization of cricket video content using genetic algorithm (GA). A summary of a cricket match should contain a variety of events, span the entire duration of the match and contain events of relatively high importance. These three parameters develop into a multi-objective optimization problem that is solved using genetic algorithm. Our experimental results on cricket matches are quite encouraging and we intend to extend this technique to other similar sports.