Automatic text processing
Content-Based Video Indexing and Retrieval
IEEE MultiMedia
The nature of statistical learning theory
The nature of statistical learning theory
VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Iterative refinement by relevance feedback in content-based digital image retrieval
MULTIMEDIA '98 Proceedings of the sixth ACM international conference on Multimedia
Probabilistic feature relevance learining for content-based image retrieval
Computer Vision and Image Understanding - Special issue on content-based access for image and video libraries
Edge-based structural features for content-based image retrieval
Pattern Recognition Letters - Special issue on image/video indexing and retrieval
Content-Based Classification, Search, and Retrieval of Audio
IEEE MultiMedia
Integrated Browsing and Querying for Image Databases
IEEE MultiMedia
MindReader: Querying Databases Through Multiple Examples
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Interaction in Content-Based Image Retrieval: The Evaluation of the State-of-the-Art Review
VISUAL '00 Proceedings of the 4th International Conference on Advances in Visual Information Systems
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)
Image Retrieval: Feature Primitives, Feature Representation, and Relevance Feedback
CBAIVL '00 Proceedings of the IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'00)
An Optimized Interaction Strategy for Bayesian Relevance Feedback
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Efficient Query Refinement for Image Retrieval
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Query Reformulation for Content Based Multimedia Retrieval in MARS
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
Generalized Discriminant Analysis Using a Kernel Approach
Neural Computation
Relevance Feedback and Category Search in Image Databases
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
Hierarchical browsing and search of large image databases
IEEE Transactions on Image Processing
Relevance feedback: a power tool for interactive content-based image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
Unifying Keywords and Visual Contents in Image Retrieval
IEEE MultiMedia
Leveraging non-relevant images to enhance image retrieval performance
Proceedings of the tenth ACM international conference on Multimedia
An effective region-based image retrieval framework
Proceedings of the tenth ACM international conference on Multimedia
DynDex: a dynamic and non-metric space indexer
Proceedings of the tenth ACM international conference on Multimedia
ImageGrouper: Search, Annotate and Organize Images by Groups
VISUAL '02 Proceedings of the 5th International Conference on Recent Advances in Visual Information Systems
QCluster: relevance feedback using adaptive clustering for content-based image retrieval
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Adaptive tree similarity learning for image retrieval
Multimedia Systems
Improving retrieval performance by region constraints and relevance feedback
Journal of Computer Science and Technology
Long-term learning of semantic grouping from relevance-feedback
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Incremental semi-supervised subspace learning for image retrieval
Proceedings of the 12th annual ACM international conference on Multimedia
Learning an image manifold for retrieval
Proceedings of the 12th annual ACM international conference on Multimedia
Content-Based Image Retrieval Based on ROI Detection and Relevance Feedback
Multimedia Tools and Applications
Relevance feedback using adaptive clustering for image similarity retrieval
Journal of Systems and Software
A content-based image retrieval system for fish taxonomy
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Content-based image retrieval: approaches and trends of the new age
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Content-based multimedia information retrieval: State of the art and challenges
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Visual pattern discovery using web images
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Mixture of KL subspaces for relevance feedback
Multimedia Tools and Applications
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
A novel region-based approach to visual concept modeling using web images
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Ensemble one-class support vector machines for content-based image retrieval
Expert Systems with Applications: An International Journal
Group-based interface for content-based image retrieval
Proceedings of the Working Conference on Advanced Visual Interfaces
Image retrieval based on incremental subspace learning
Pattern Recognition
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
A new multi-view learning algorithm based on ICA feature for image retrieval
MMM'07 Proceedings of the 13th international conference on Multimedia Modeling - Volume Part I
Automated on-site retrieval of project information
EG-ICE'06 Proceedings of the 13th international conference on Intelligent Computing in Engineering and Architecture
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On-line learning or "relevance feedback" techniques for multimedia information retrieval have been explored from many different points of view: from early heuristic-based feature weighting schemes to recently proposed optimal learning algorithms, probabilistic/Bayesian learning algorithms, boosting techniques, discriminant-EM algorithm, support vector machine, and other kernel-based learning machines. Based on a careful examination of the problem and a detailed analysis of the existing solutions, we propose several discriminating transforms as the learning machine during the user interaction. We argue that relevance feedback problem is best represented as a biased classification problem, or a (1+x)-class classification problem. Biased Discriminant Transform (BDT) is shown to outperform all the others. A kernel form is proposed to capture non-linearity in the class distributions.