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Automatic video annotation has become an important issue in visual sensor networks, due to the existence of a semantic gap. Although it has been studied extensively, semantic representation of visual information is not well understood. To address the problem of pattern classification in video annotation, this paper proposes a discriminative constraint to find a solution to approach the sparse representative coefficients with discrimination. We study a general method of discriminative dictionarydoi:10.1155/2014/832512 fatcat:lqr3p4ca45fp3ijry2l6mc5m5q