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This paper presents a novel framework for visual content interpretation and aims to generate meaningful descriptions for visual content based on the aggregate information of the detected primitive objects, spatial relations, and specific relevant prior knowledge to aid visual content interpretation. The main contributions of this paper include: (1) a novel approach to generate semantic descriptions...
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