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- W2370180225 abstract "One of the most challenging research issues in content-based image retrieval(CBIR) is how to bridge the significant semantic gap between the low-level image features and the high-level semantic concepts.The well-known solutions are relevance feedback and regions of interest(ROIs) detection;however both are subjective and time-consuming.We propose the visual information is a new feature that can objectively interpret the high-level concepts and effectively reduce the semantic gap in image retrieval.We also make a survey on the research progresses and key technologies of visual perception.The research issues of image retrieval based on visual perception are introduced as well from four aspects:ROIs detection,image segmentation,relevance feedback and personalized retrieval." @default.
- W2370180225 created "2016-06-24" @default.
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- W2370180225 date "2008-01-01" @default.
- W2370180225 modified "2023-09-25" @default.
- W2370180225 title "A Survey of Image Retrieval Based on Visual Perception" @default.
- W2370180225 hasPublicationYear "2008" @default.
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