Semantics-Based Image Retrieval by Region Saliency

  • Authors:
  • Wei Wang;Yuqing Song;Aidong Zhang

  • Affiliations:
  • -;-;-

  • Venue:
  • CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
  • Year:
  • 2002

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Abstract

We propose a new approach for semantics-based image retrieval. We use color-texture classification to generate the codebook which is used to segment images into regions. The content of a region is characterized by its self-saliency and the lower-level features of the region, including color and texture. The context of regions in an image describes their relationships, which are related to their relative-saliencies. High-level (semantics-based) querying and query-by-example are supported on the basis of the content and context of image regions. The experimental results demonstrate the effectiveness of our approach.