Semantics Retrieval by Content and Context of Image Regions
Wei Wang, Yuqing Song, Aidong Zhang · 2002
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.