Semantic Research on Content-Based Image Retrieval
Zhijun Chen
Abstract
Zhijun Chen
Abstract
The target of content-based image retrieval is to reduce the "semantic gap" between low-level visual features and high-level semantic features of image. The key of the further development of content-based image retrieval is the processing of image semantics. To enhance the capacity of content-based image retrieval systems, the image semantic model, image semantic extraction and image semantic retrieval system are researched in this paper. At last, the problems in image semantics are put forward and the directions of future development are suggested.
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The target of content-based image retrieval is to reduce the "semantic gap" between low-level visual features and high-level semantic features of image. The key of the further development of content-based image retrieval is the processing of image semantics. To enhance the capacity of content-based image retrieval systems, the image semantic model, image semantic extraction and image semantic retrieval system are researched in this paper. At last, the problems in image semantics are put forward and the directions of future development are suggested.
Key concepts: Image retrieval, Computer science, Automatic image annotation, Semantics (computer science), Information retrieval, Visual Word, Content-based image retrieval, Semantic gap