An integrated color-spatial approach to content-based image retrieval
Proceedings of the third ACM international conference on Multimedia
Comparing images using color coherence vectors
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
NeTra: a toolbox for navigating large image databases
Multimedia Systems - Special issue on video content based retrieval
IRM: integrated region matching for image retrieval
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Data mining: concepts and techniques
Data mining: concepts and techniques
SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
IEEE Transactions on Pattern Analysis and Machine Intelligence
IDEAS '01 Proceedings of the International Database Engineering & Applications Symposium
Blobworld: A System for Region-Based Image Indexing and Retrieval
VISUAL '99 Proceedings of the Third International Conference on Visual Information and Information Systems
Robust analysis of feature spaces: color image segmentation
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Histogram refinement for content-based image retrieval
WACV '96 Proceedings of the 3rd IEEE Workshop on Applications of Computer Vision (WACV '96)
Single color extraction and image query
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 3)-Volume 3 - Volume 3
Digital Image Processing (3rd Edition)
Digital Image Processing (3rd Edition)
Content-Based Image Retrieval Based on ROI Detection and Relevance Feedback
Multimedia Tools and Applications
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Content-based image retrieval from large multimedia databases effectively and efficiently is a challenging task. In this paper, we propose a retrieval technique that utilizes the regional properties of the images. After image segmentation, each region is represented by its colour, shape, size, and spatial position. Regions of different images are matched and a distance measure between the whole images is calculated. The relative importance of the above features is investigated, and colour plays a major role in the process of distance computation. Our representation is robust to minor inaccuracy in image segmentation, is invariant to scaling and can perceive geometric changes like translation and rotation. The experimental results indicate that our technique outperforms recently proposed techniques.