Visual information retrieval from large distributed online repositories
Communications of the ACM
Image retrieval by color semantics
Multimedia Systems - Special issue on video content based retrieval
Pattern Recognition and Neural Networks
Pattern Recognition and Neural Networks
Unifying Keywords and Visual Contents in Image Retrieval
IEEE MultiMedia
Knowledge-Based Image Retrieval with Spatial and Temporal Constructs
IEEE Transactions on Knowledge and Data Engineering
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The aim of this research is to develop a system based on multi-attributes image analysis and a neural network self-organization feature map (SOFM) that will facilitate the automated classification of images or icons in Web documents. Four different image attribute sets are extracted. The system integrates different image attributes without demanding any particular primitive to be dominant. The system is implemented and the results generated show meaningful clusters. The performance of the system is compared with the Hierarchical Agglomerative Clustering (HAC) algorithm. Evaluation shows that similar images will fall onto the same region in our approach, in such a way that it is possible to retrieve images under family relationships.