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MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Keyblock: an approach for content-based image retrieval
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Modern Information Retrieval
Upgrading Color Distributions for Image Retrieval: Can We Do Better?
VISUAL '00 Proceedings of the 4th International Conference on Advances in Visual Information Systems
Keyblock: an approach for content-based image retrieval
Keyblock: an approach for content-based image retrieval
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Keyblock, which is a new framework we proposed for the content-based image retrieval, is a generalization of the text-based information retrieval technology in the image domain. In this framework, keyblocks, which are analogous to keywords in text document retrieval, can be constructed by exploiting a clustering approach. Then an image can be represented as a list of keyblocks similar to a text document which can be considered as a list of keywords. Based on this image representation, various feature models can be constructed for supporting image retrieval. In this paper, we will conduct keyblock statistic analysis and propose keyblock importance vector to improve the retrieval performance. The statistic analysis is based on the keyblock entropy as well as the keyblock frequency in the image database.