International Journal of Computer Vision
Spectral covariance and fuzzy regions for image indexing
Machine Vision and Applications
Finding salient regions in images: nonparametric clustering for image segmentation and grouping
Computer Vision and Image Understanding - Special issue on content-based access for image and video libraries
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A novel region-based image retrieval method using relevance feedback
MULTIMEDIA '01 Proceedings of the 2001 ACM workshops on Multimedia: multimedia information retrieval
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
Efficient Color Histogram Indexing for Quadratic Form Distance Functions
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Region-Based Fuzzy Feature Matching Approach to Content-Based Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Spatial layout representation for query-by-sketch content-based image retrieval
Pattern Recognition Letters
MiCRoM: A Metric Distance to Compare Segmented Images
VISUAL '02 Proceedings of the 5th International Conference on Recent Advances in Visual Information Systems
Image Indexing Using Color Correlograms
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
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
A Metric for Distributions with Applications to Image Databases
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Cell histograms versus color histograms for image representation and retrieval
Knowledge and Information Systems
Constraint Based Region Matching for Image Retrieval
International Journal of Computer Vision - Special Issue on Content-Based Image Retrieval
Structured knowledge representation for image retrieval
Journal of Artificial Intelligence Research
Matching and retrieval based on the vocabulary and grammar of color patterns
IEEE Transactions on Image Processing
EdgeFlow: a technique for boundary detection and image segmentation
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Multimedia Tools and Applications
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Research on integrating spatial information into content-based image retrieval (CBIR) is aimed at solving the problem caused by global feature based algorithm. Most systems derive the spatial information from image segmentation. However, the description of images based on one-level segmentation (OLD) and the inevitable inaccuracy of segmentation results seriously limit the performance. A two-level description (TLD) describes images by a rough description and a detailed description to avoid improper spatial constraint caused by OLD is proposed. Similarity measurement based on unbalanced region matching (URM) is introduced to take advantage of TLD to reduce the influence of segmentation. A novel spatial descriptor integrating shape, size, and density as well as position and spatial layout information together is also proposed. The performance of the integrated system is illustrated by experimental results with 1000 query images randomly selected from a database of 10,000 general-purpose images.