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In this paper, we develop a video retrieval method based on Query-By-Example (QBE) approach where example shots are provided to represent a query, and used to construct a retrieval model. One drawback of QBE is that a user can only provide a small number of example shots, while each shot is generally represented by a high-dimensional feature. This causes that the retrieval model tends to be over fit...
This paper proposes a novel recognition scheme for semantic labeling of 2D objects present in still images. The principle consists of matching unknown 2D objects with categorized 3D models in order to associate the semantics of the 3D object to the image. We tested our new recognition framework by using the MPEG-7 and Princeton 3D model databases in order to label unknown images randomly selected...
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