Interactive content-based image retrieval using relevance feedback
Computer Vision and Image Understanding
CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
Multi-class relevance feedback content-based image retrieval
Computer Vision and Image Understanding
Adaptive tree similarity learning for image retrieval
Multimedia Systems
Relevance feedback: perceptual learning and retrieval in bio-computing, photos, and video
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Relevance feedback for content-based image retrieval using Bayesian network
VIP '05 Proceedings of the Pan-Sydney area workshop on Visual information processing
A Unified Log-Based Relevance Feedback Scheme for Image Retrieval
IEEE Transactions on Knowledge and Data Engineering
Content-based audio retrieval with relevance feedback
Pattern Recognition Letters
A survey of content-based image retrieval with high-level semantics
Pattern Recognition
Features for image retrieval: an experimental comparison
Information Retrieval
Pattern Recognition Methods for Querying and Browsing Technical Documentation
CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
Adaptive training of video sets for image recognition on mobile phones
Personal and Ubiquitous Computing
Semisupervised SVM batch mode active learning with applications to image retrieval
ACM Transactions on Information Systems (TOIS)
BALAS: Empirical Bayesian learning in the relevance feedback for image retrieval
Image and Vision Computing
Violent web images classification based on MPEG7 color descriptors
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
A framework of CBIR system based on relevance feedback
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Interactive retrieval of targets for wide area surveillance
Proceedings of the international conference on Multimedia
Neighborhood preserving regression for image retrieval
Neurocomputing
Hypergraph with sampling for image retrieval
Pattern Recognition
Active multiple kernel learning for interactive 3D object retrieval systems
ACM Transactions on Interactive Intelligent Systems (TiiS)
SOM-Based sample learning algorithm for relevance feedback in CBIR
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part I
Aspect-based relevance learning for image retrieval
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
Relevance feedback for sketch retrieval based on linear programming classification
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
Flexible shape-based query rewriting
FQAS'06 Proceedings of the 7th international conference on Flexible Query Answering Systems
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
A few steps towards on-the-fly symbol recognition with relevance feedback
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
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Significant time and effort has been devoted to finding feature representations of images in databases in order to enable content-based image retrieval (CBIR). Relevance feedback is a mechanism for improving retrieval precision over time by allowing the user to implicitly communicate to the system which of these features are relevant and which is not. We propose a relevance feedback retrieval system that, for each retrieval iteration, learns a decision tree to uncover a common thread between all images marked as relevant. This tree is then used, as a model for inferring which of the unseen images the user would most likely desire. We evaluate our approach within the domain of HRCT images of the lung.