Content-Based Image Retrieval Using Regional Representation
Proceedings of the 10th International Workshop on Theoretical Foundations of Computer Vision: Multi-Image Analysis
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In this paper, we propose an intelligent content based image retrieval system and it is an extension of our recently published research paper [1]. The system is based on our neuro-fuzzy technique presented in [1]. The CBIR system will accept multiple queries as input such as "mostly red & many blue & few green" that can be provided on-line and the outputs of the system are the images with their confidential values. The system uses fuzzy logic to interpret multiple natural expressions such as mostly, many and few and a neural network to learn the meaning of mostly red, many red and few red. The system has been implemented on World Wide Web using CGI scripts and C programming language. In [1], we have presented some preliminary results using a single query. This paper presents, the extension of our on-line system for multiple queries such as "many blue and few green". A number of experiments using our on-line system, is conducted and the results are included and discussed in this paper.