C. Krishna Mohan

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In this paper, we investigate the problem of video classification into predefined genre. The approach adopted is based on spatial and temporal descriptors derived from short video sequences (20 seconds). By using support vector machines (SVMs), we propose an optimized multi-class classification method. Five popular TV broadcast genre namely cartoon,(More)
In this paper, a new method for detecting shot boundaries in video sequences using a late fusion technique is proposed. The method uses color histogram as the feature, and processes each bin separately for detecting shot boundaries. The decisions from individual bins are combined later for hypothesizing the presence of shot boundaries. The method provides a(More)
In this paper, we propose a method for classification of sport videos using edge-based features, namely edge direction histogram and edge intensity histo-gram. We demonstrate that these features provide discrimi-native information useful for classification of sport videos, by considering five sports categories, namely, cricket, football, tennis, basketball(More)
A boy developed sudden severe generalized muscle stiffness, bulbar weakness and passed dark coloured urine. Laboratory tests revealed marked elevation of creatinine kinase(CK) levels and myoglobinuria. Histopathology of quadriceps muscle showed features of acute rhabdomyolysis. Patient made complete clinical recovery over a period of three weeks and CK(More)