Implementing Relevance Feedback as Convolutions of Local Neighborhoods on Self-Organizing Maps
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Automatic Linguistic Indexing of Pictures by a Statistical Modeling Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Content-based image retrieval: approaches and trends of the new age
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Using image segments in PicSOM CBIR system
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
A prototype content-based image retrieval system for spine X-rays
CBMS'03 Proceedings of the 16th IEEE conference on Computer-based medical systems
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The number of people using the Internet is increasing rapidly since the Internet became an essential and interesting part of human being culture and life. Searching for an image is one of the most important features for internet use. The name and the title of an image is not always enough, sometimes we have the image or the shape we want to look for, but we cannot express it precisely. New approach has been developed to search for such information which is Content Based Image Retrieval (CBIR) approach, based on the contour or the shape of an object using statistical information about the shape. That means to search for images that are similar to a shape or the image that you have.