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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    Title :

    Semantics modeling based image retrieval system using neural networks


    Contributors:


    Publication date :

    2005-01-01


    Size :

    213585 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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