International Journal of Computer Vision
VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
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
Support vector machine active learning for image retrieval
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Neural Networks
Emergent Semantics through Interaction in Image Databases
IEEE Transactions on Knowledge and Data Engineering
Toward Optimal Active Learning through Sampling Estimation of Error Reduction
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Transductive Inference for Text Classification using Support Vector Machines
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
MindReader: Querying Databases Through Multiple Examples
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Learning the Kernel Matrix with Semi-Definite Programming
ICML '02 Proceedings of the Nineteenth International Conference on Machine Learning
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)
Non-parametric Similarity Measures for Unsupervised Texture Segmentation and Image Retrieval
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
A Weighted Distance Approach to Relevance Feedback
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
Perceptual metrics for image database navigation
Perceptual metrics for image database navigation
Bayesian models for visual information retrieval
Bayesian models for visual information retrieval
Support vector machine active learning with applications to text classification
The Journal of Machine Learning Research
Weakly Supervised Learning of Visual Models and Its Application to Content-Based Retrieval
International Journal of Computer Vision - Special Issue on Content-Based Image Retrieval
Kernel Methods for Pattern Analysis
Kernel Methods for Pattern Analysis
Image Categorization by Learning and Reasoning with Regions
The Journal of Machine Learning Research
Machine Learning in Computer Vision (Computational Imaging and Vision)
Machine Learning in Computer Vision (Computational Imaging and Vision)
Active learning with statistical models
Journal of Artificial Intelligence Research
IEEE Transactions on Circuits and Systems for Video Technology
Support vector machines for histogram-based image classification
IEEE Transactions on Neural Networks
Guest Editorial: Similarity Matching in Computer Vision and Multimedia
Computer Vision and Image Understanding
Scene categorization using boosted back-propagation neural networks
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
A novel method for image retrieval using relevance feedback and unsupervised clustering
COMPUTE '11 Proceedings of the Fourth Annual ACM Bangalore Conference
SALSAS: Sub-linear active learning strategy with approximate k-NN search
Pattern Recognition
Multi-layer local graph words for object recognition
MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
Object-based image retrieval with kernel on adjacency matrix and local combined features
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Kernel similarity based AAMs for face recognition
ACIVS'12 Proceedings of the 14th international conference on Advanced Concepts for Intelligent Vision Systems
Pooling in image representation: The visual codeword point of view
Computer Vision and Image Understanding
Efficient image signatures and similarities using tensor products of local descriptors
Computer Vision and Image Understanding
Boosted kernel for image categorization
Multimedia Tools and Applications
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This paper presents a search engine architecture, RETIN, aiming at retrieving complex categories in large image databases. For indexing, a scheme based on a two-step quantization process is presented to compute visual codebooks. The similarity between images is represented in a kernel framework. Such a similarity is combined with online learning strategies motivated by recent machine-learning developments such as active learning. Additionally, an offline supervised learning is embedded in the kernel framework, offering a real opportunity to learn semantic categories. Experiments with real scenario carried out from the Corel Photo database demonstrate the efficiency and the relevance of the RETIN strategy and its outstanding performances in comparison to up-to-date strategies.