Handbook of data mining and knowledge discovery
CASCON '98 Proceedings of the 1998 conference of the Centre for Advanced Studies on Collaborative research
An image based interactive digital library of mechanical engineering objects
AIKED'08 Proceedings of the 7th WSEAS International Conference on Artificial intelligence, knowledge engineering and data bases
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With huge amounts of multimedia information connected to the global information network (Internet), efficient and effective image retrieval from large image and video repositories has become an imminent research issue. This article presents our research in the C-BIRD (Content-Based Image Retrieval from Digital libraries) project. In addition to the use of common features such as keywords, color, texture, shape and their conjuncts, it is shown that (a) the color--channel--normalization enables Search by Illumination Invariance, and (b) the multi-level recognition kernel facilitates Search by Object Model in image and video databases.