Machine learning, neural and statistical classification
Machine learning, neural and statistical classification
A society of models for video and image libraries
IBM Systems Journal
A statistical learning learning model of text classification for support vector machines
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
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
MindReader: Querying Databases Through Multiple Examples
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Show Me What You Mean! Pariss: A CBIR-Interface that Learns by Example
VISUAL '00 Proceedings of the 4th International Conference on Advances in Visual Information Systems
Bayesian models for visual information retrieval
Bayesian models for visual information retrieval
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
Active learning with statistical models
Journal of Artificial Intelligence Research
IEEE Transactions on Image Processing
Support vector machines for histogram-based image classification
IEEE Transactions on Neural Networks
Performances of Mobile-Agents for Interactive Image Retrieval
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
RETIN: a smart interactive digital media retrieval system
Proceedings of the 6th ACM international conference on Image and video retrieval
Evaluation of active learning strategies for video indexing
Image Communication
Image and video indexing using networks of operators
Journal on Image and Video Processing
Image and video indexing using networks of operators
Journal on Image and Video Processing
Shape reasoning on mis-segmented and mis-labeled objects using approximated Fisher criterion
Computers and Graphics
Video corpus annotation using active learning
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Active learning in multimedia annotation and retrieval: A survey
ACM Transactions on Intelligent Systems and Technology (TIST)
Approximation of linear discriminant analysis for word dependent visual features selection
ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
Efficient targeted search using a focus and context video browser
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Hi-index | 0.00 |
This paper deals with content-based image indexing and category retrieval in general databases. Statistical learning approaches have been recently introduced in CBIR. Labelled images are considered as training data in learning strategy based on classification process. We introduce an active learning strategy to select the most difficult images to classify with only few training data. Experimentations are carried out on the COREL database. We compare seven classification strategies to evaluate the active learning contribution in CBIR.