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In contrast to traditional video retrieval that represents visual content with low-level features (e.g. color and texture), emerging concept-based video retrieval allows users to search video archives by specifying a limited number of high-level concepts (e.g. outdoors and car). Recent studies have demonstrated the feasibility of concept-based retrieval, but a fundamental question remains: what kinds of concepts should we index? We analyze a large video archive annotated with more than a thousand high-level concepts, and develop guidelines for choosing concepts of high utility to video retrieval
Lin et al. (Sat,) studied this question.