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- W57500367 abstract "We propose a novel approach for semantics retrieval from images in multimedia databases. In our approach, we use color-texture classification to generate the codebook which is used to segment images into regions. The content of a region describes the lower-level features of the region, including color and texture. The context of regions in an image describes their relationships in the image. The content and context of image regions provide a way for semantics retrieval. On top of semantics retrieval, high-level (semanticsbased) querying and query-by-example are supported. The experimental results demonstrate that our approach outperforms the traditional CBIR approaches." @default.
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- W57500367 date "2002-01-01" @default.
- W57500367 modified "2023-09-27" @default.
- W57500367 title "Semantics Retrieval by Content and Context of Image Regions" @default.
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