BIRCH: an efficient data clustering method for very large databases
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Keyblock: an approach for content-based image retrieval
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Theory of keyblock-based image retrieval
ACM Transactions on Information Systems (TOIS)
SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
IEEE Transactions on Pattern Analysis and Machine Intelligence
Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying
IEEE Transactions on Pattern Analysis and Machine Intelligence
Towards automatic visual obstacle avoidance
IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 2
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This paper presents an image retrieval method based on keyblocks combing with interest points, furthermore the generation of codebook is also utilized to enhance the retrieval performance, where the balance between the retrieved precision and time cost can decide the codebook size of this CBIR system. Finally, the proposed method is compared with the method that only depends on interest points or keyblocks.