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Views Detection from Cricket Video using Low Level Features

hetal tulsidas chudasama, Narendra M Patel


Detection of various views from the cricket video is a fundamental and useful step in cricket video summarization. In this paper, we propose an approach to detect various views from the cricket video. Detected views in paper are Ground view; Pitch view, Boundary view, Close-Up view, Crowd view, Fielders’ gathering view and Sky view. Detection of specific view requires extraction of appropriate lower level features from the frame. Result analysis shows the accuracy of various algorithms used for view detection.

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