International Journal of Computer Vision
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
A Region-Based Fuzzy Feature Matching Approach to Content-Based Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Content-Based Retrieval Using Chromaticity Moments
IEEE Transactions on Knowledge and Data Engineering
Automatic Linguistic Indexing of Pictures by a Statistical Modeling Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Constraint Based Region Matching for Image Retrieval
International Journal of Computer Vision - Special Issue on Content-Based Image Retrieval
An user preference information based kernel for SVM active learning in content-based image retrieval
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Mean version space: a new active learning method for content-based image retrieval
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Boosting contextual information in content-based image retrieval
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
An image retrieval system with automatic query modification
IEEE Transactions on Multimedia
Weighted walkthroughs between extended entities for retrieval by spatial arrangement
IEEE Transactions on Multimedia
Joint semantics and feature based image retrieval using relevance feedback
IEEE Transactions on Multimedia
Cluster-driven refinement for content-based digital image retrieval
IEEE Transactions on Multimedia
IEEE Transactions on Multimedia
IEEE Transactions on Multimedia
IEEE Transactions on Image Processing
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This paper present an efficient and effective image representation for region-based image retrieval. We explore the issue of hybrid feature-integrated and compact region-based image retrieval for huge image database. Firstly, to describe regions of an image, we present an image segmentation algorithm. Secondly, a compact, fixed-number and computation effective representaton is designed for the color contents of each region of an image, which can be computed from color space without quantizing color space to construct color histogram. Finally, we use the hybrid feature including color, texture and shape as feature vector of the regions to match images, experimental results on a database of 1000 general-purposed images demonstrate the efficiency and effectiveness of the proposed image representation for region-based image retrieval.