Digital image processing
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
IEEE Transactions on Pattern Analysis and Machine Intelligence
Stochastic Complexity in Statistical Inquiry Theory
Stochastic Complexity in Statistical Inquiry Theory
A Region-Based Fuzzy Feature Matching Approach to Content-Based Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
An effective region-based image retrieval framework
Proceedings of the tenth ACM international conference on Multimedia
Blobworld: A System for Region-Based Image Indexing and Retrieval
VISUAL '99 Proceedings of the Third International Conference on Visual Information and Information Systems
A Relevance Feedback Architecture for Content-based Multimedia Information Retrieval Systems
CAIVL '97 Proceedings of the 1997 Workshop on Content-Based Access of Image and Video Libraries (CBAIVL '97)
Bayesian Relevance Feedback for Content-Based Image Retrieval
CBAIVL '00 Proceedings of the IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'00)
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
Addressing CBIR efficiency, effectiveness, and retrieval subjectivity simultaneously
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
Self organization of a massive document collection
IEEE Transactions on Neural Networks
A data mining approach to modeling relationships among categories in image collection
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
A mutual semantic endorsement approach to image retrieval and context provision
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Proceedings of the international workshop on Workshop on multimedia information retrieval
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
Automatic Image Annotation Using a Visual Dictionary Based on Reliable Image Segmentation
Adaptive Multimedial Retrieval: Retrieval, User, and Semantics
BALAS: Empirical Bayesian learning in the relevance feedback for image retrieval
Image and Vision Computing
An interactive approach for filtering out junk images from keyword-based google search results
IEEE Transactions on Circuits and Systems for Video Technology
Semantic image retrieval using region-based relevance feedback
AMR'06 Proceedings of the 4th international conference on Adaptive multimedia retrieval: user, context, and feedback
Where are focused places of a photo?
VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
A statistical image retrieval method using color invariant
CIRA'09 Proceedings of the 8th IEEE international conference on Computational intelligence in robotics and automation
A fast visual word frequency - inverse image frequency for detector of rare concepts
CLEF'09 Proceedings of the 10th international conference on Cross-language evaluation forum: multimedia experiments
From region based image representation to object discovery and recognition
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Image similarity: from syntax to weak semantics
Multimedia Tools and Applications
Using visual dictionary to associate semantic objects in region-based image retrieval
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Content based image retrieval via a transductive model
Journal of Intelligent Information Systems
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This paper addresses Content Based Image Retrieval (CBIR), focusing on developing a hidden semantic concept discovery methodology to address effective semanticsintensive image retrieval. In our approach, each image in the database is segmented to regions associated with homogenous color, texture, and shape features. By exploiting regional statistical information in each image and employing a vector quantization method, a uniform and sparse region-based representation is achieved. With this representation a probabilistic model based on statistical-hiddenclass assumptions of the image database is obtained, to which Expectation-Maximization (EM) technique is applied to analyze semantic concepts hidden in the database. An elaborated retrieval algorithm is designed to support the probabilistic model. The semantic similarity is measured through integrating the posterior probabilities of the transformed query image, as well as a constructed negative example, to the discovered semantic concepts. The proposed approach has a solid statistical foundation and the experimental evaluations on a database of 10,000 generalpurposed images demonstrate its promise of the effectiveness.