VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Visual information retrieval from large distributed online repositories
Communications of the ACM
Blobworld: A System for Region-Based Image Indexing and Retrieval
VISUAL '99 Proceedings of the Third International Conference on Visual Information and Information Systems
NeTra: a toolbox for navigating large image databases
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Region-Based Image Retrieval System Using Efficient Feature Description
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
Local image representations using pruned salient points with applications to CBIR
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
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Although most image indexing schemes are based on global image features, they have limited capability because they cannot capture local variations of the image properly. In order to solve this problem, we propose a new region-based image retrieval system. Since objects are important for image search in a huge database, we first find the important region including an interesting object using image segmentation and salient point extraction. We then find color and texture features in each important region. We have demonstrated that the color and texture information in the important region is very useful for improving performance of the image retrieval system.