Decision Combination in Multiple Classifier Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fusion of handwritten word classifiers
Pattern Recognition Letters - Special issue on fuzzy set technology in pattern recognition
VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Communications of the ACM
BoosTexter: A Boosting-based Systemfor Text Categorization
Machine Learning - Special issue on information retrieval
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Support vector machine active learning for image retrieval
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
NeTra: a toolbox for navigating large image databases
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Semi-Automatic Image Annotation Using Frequent Keyword Mining
IV '03 Proceedings of the Seventh International Conference on Information Visualization
Entropy Measures,Maximum Entropy Principle and Emerging Applications
Entropy Measures,Maximum Entropy Principle and Emerging Applications
The Journal of Machine Learning Research
On image auto-annotation with latent space models
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
International Journal of Computer Vision - Special Issue on Content-Based Image Retrieval
Learning an image manifold for retrieval
Proceedings of the 12th annual ACM international conference on Multimedia
Multi-labelled classification using maximum entropy method
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Correlated Label Propagation with Application to Multi-label Learning
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
ML-KNN: A lazy learning approach to multi-label learning
Pattern Recognition
Kernel-Based Learning of Hierarchical Multilabel Classification Models
The Journal of Machine Learning Research
Learning user intention in relevance feedback using optimization
Proceedings of the international workshop on Workshop on multimedia information retrieval
Correlative multi-label video annotation
Proceedings of the 15th international conference on Multimedia
Human behaviour consistent relevance feedback model for image retrieval
Proceedings of the 15th international conference on Multimedia
Adaptive mixtures of local experts
Neural Computation
Real-Time Computerized Annotation of Pictures
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multi-label learning by instance differentiation
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Learning multi-label alternating decision trees from texts and data
MLDM'03 Proceedings of the 3rd international conference on Machine learning and data mining in pattern recognition
Probabilistic spatial context models for scene content understanding
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Protein classification with multiple algorithms
PCI'05 Proceedings of the 10th Panhellenic conference on Advances in Informatics
An active learning framework for content-based information retrieval
IEEE Transactions on Multimedia
Paper: Modeling by shortest data description
Automatica (Journal of IFAC)
PicToSeek: combining color and shape invariant features for image retrieval
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
Factor graph framework for semantic video indexing
IEEE Transactions on Circuits and Systems for Video Technology
Query feedback for interactive image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
A Multi-Directional Search technique for image annotation propagation
Journal of Visual Communication and Image Representation
Manifold-ranking based retrieval using k-regular nearest neighbor graph
Pattern Recognition
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Image annotation is the foundation for many real-world applications. In the age of Web 2.0, image search and browsing are largely based on the tags of images. In this paper, we formulate image annotation as a multi-label learning problem, and develop a semi-automatic image annotation system. The presented system chooses proper words from a vocabulary as tags for a given image, and refines the tags with the help of the user's feedback. The refinement amounts to a novel multi-label learning framework, named Semi-Automatic Dynamic Auxiliary-Tag-Aided (SADATA), in which the classification result for one certain tag (target tag) can be boosted by the classification results of a subset of the other tags (auxiliary tags). The auxiliary tags, which have strong correlations with the target tag, are determined in terms of the normalized mutual information. We only select those tags whose correlations exceed a threshold as the auxiliary tags, so the auxiliary set is sparse. How much an auxiliary tag can contribute is dependent on the image, so we also build a probabilistic model conditioned on the auxiliary tag and the input image to adjust the weight of the auxiliary tag dynamically. For an given image, the user feedback on the tags corrects the outputs of the auxiliary classifiers and SADATA will recommend more proper tags next round. SADATA is evaluated on a large collection of Corel images. The experimental results validate the effectiveness of our dynamic auxiliary-tag-aided method. Furthermore, the performance also benefits from user feedbacks such that the annotation procedure can be significantly speeded up.