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Modeling visual concepts using supervised or unsupervised machine learning approaches are becoming increasing important for video semantic indexing, retrieval, and filtering applications. Naturally, videos include multimodality data such as audio, speech, visual and text, which are combined to infer therein the overall semantic concepts. However, in the literature, most researches were conducted within...
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