Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Adaptive nearest neighbor search for relevance feedback in large image databases
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Extraction of feature subspaces for content-based retrieval using relevance feedback
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Comparing discriminating transformations and SVM for learning during multimedia retrieval
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
MUSE: A Content-Based Image Search and Retrieval System Using Relevance Feedback
Multimedia Tools and Applications
Input Feature Selection by Mutual Information Based on Parzen Window
IEEE Transactions on Pattern Analysis and Machine Intelligence
Differential Feature Distribution Maps for Image Segmentation and Region Queries in Image Databases
CBAIVL '99 Proceedings of the IEEE Workshop on Content-Based Access of Image and Video Libraries
A practical SVM-based algorithm for ordinal regression in image retrieval
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Content-Based Image Retrieval Based on a Fuzzy Approach
IEEE Transactions on Knowledge and Data Engineering
A framework for linguistic relevance feedback in content-based image retrieval using fuzzy logic
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Dealing with uncertainty in data mining and information extraction
Adaptable similarity search using non-relevant information
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
SVM-based active feedback in image retrieval using clustering and unlabeled data
Pattern Recognition
Multimedia Tools and Applications
A framework for linguistic relevance feedback in content-based image retrieval using fuzzy logic
Information Sciences: an International Journal
Relevance feedback for content-based image retrieval: what can three mouse clicks achieve?
ECIR'03 Proceedings of the 25th European conference on IR research
Multilevel relevance judgment, loss function, and performance measure in image retrieval
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
Performance comparison of different similarity models for CBIR with relevance feedback
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
Feature selection for automatic image annotation
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images
Putting the user in the loop: visual resource discovery
AMR'05 Proceedings of the Third international conference on Adaptive Multimedia Retrieval: user, context, and feedback
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We present a sound framework for relevance feedback in content-based image retrieval. The modeling is based on non-parametric density estimation of relevant and non-relevant items and Bayesian inference. This theory has been successfully applied to benchmark image databases, quantitatively demonstrating its performance for target search, selective control of precision and recall in category search, and improvement of retrieval effectiveness. The paper is illustrated with several experiments and retrieval results on real-world data.