VisualSEEk: a fully automated content-based image query system
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
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Efficient Color Histogram Indexing for Quadratic Form Distance Functions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Region Queries without Segmentation for Image Retrieval by Content
VISUAL '99 Proceedings of the Third International Conference on Visual Information and Information Systems
Using Weighted Spatial Relationships in Retrieval by Visual Contents
CBAIVL '98 Proceedings of the IEEE Workshop on Content - Based Access of Image and Video Libraries
Defining Image Content with Multiple Regions-of-Interest
CBAIVL '99 Proceedings of the IEEE Workshop on Content-Based Access of Image and Video Libraries
Edge Flow: A Framework of Boundary Detection and Image Segmentation
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
An efficient low-dimensional color indexing scheme for region-based image retrieval
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
Clustering by competitive agglomeration
Pattern Recognition
Combining speech and haptics for intuitive and efficient navigation through image databases
Proceedings of the 5th international conference on Multimodal interfaces
A novel image retrieval approach combining multiple features of color-connected regions
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
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In Content-Based Image Retrieval systems, region-based queries allow more precise search than global ones. The user can retrieve similar regions of interest regardless their background in images.The definition of regions in thousands of generic images is a difficult key point, since it should not need user interaction for each image, and nevertheless be as close as possible to regions of interest (to the user).In this paper we first propose a new technique of unsupervised coarse detection of regions which improves their visual specificity. The Competitive Agglomeration (CA) classification algorithm, which has the advantage to automatically determine the optimal number of classes, is used.The second key point is the region description which must be finer for regions than for images. We present a novel region descriptor of fine color variability: the Adaptive Distribution of Color Shades. It is based on color shades adaptively determined for each region at a high resolution: 5 million of potential different colors represented against few hundreds of predefined colors in existing descriptors.Successful results of segmentation and region queries are presented on a database of 2500 generic images involving landscapes, people, objects, architecture, flora....