Semantics modeling based image retrieval system using neural networks
Xiaohang Ma; Dianhui Wang
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Volume 1, Issue , 11-14 Sept. 2005 Page(s): I - 1165-8
Digital Object Identifier   10.1109/ICIP.2005.1529963
Summary: Semantics based image retrieval techniques show a promising direction to the development of CBIR systems. To design such systems, semantics modeling is one of the most difficult tasks. This paper aims to develop a semantics modeling approach using neural networks. In our work, a neural network is utilized to memorize the semantic patterns within the images. An intelligent image retrieval system is designed based on this model. User's relevance feedback is used for enhancing the retrieval performance. Experimental results from the prototype system demonstrate the effectiveness of the proposed approach.

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