Image Semantic Classification Using SVM in Image Retrieval

There is a gap between low-level descriptions of image content and the semantic understanding of users to query image databases in the content-based image retrieval. In this paper, the authors put forward a method of classifying image regions hierarchically using their semantics and that resembles peoples' perception more than using low-level features. The experiments show, the better precision of semantic classification justifies the feasibility of their method. It uses in image retrieval field further and get better index effect.

Provided by: Academy Publisher Topic: Software Date Added: Dec 2009 Format: PDF

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