International Journal of Computer Vision
Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Making large-scale support vector machine learning practical
Advances in kernel methods
A unified framework for semantics and feature based relevance feedback in image retrieval systems
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
MiAlbum - a system for home photo managemet using the semi-automatic image annotation approach
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Indoor-Outdoor Image Classification
CAIVD '98 Proceedings of the 1998 International Workshop on Content-Based Access of Image and Video Databases (CAIVD '98)
A General Framework for Object Detection
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Automatic Linguistic Indexing of Pictures by a Statistical Modeling Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Journal of Machine Learning Research
Confidence-based dynamic ensemble for image annotation and semantics discovery
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Linking images and keywords for semantics-based image retrieval
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Bootstrapping SVM active learning by incorporating unlabelled images for image retrieval
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Image classification for content-based indexing
IEEE Transactions on Image Processing
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
VisMed: a visual vocabulary approach for medical image indexing and retrieval
AIRS'05 Proceedings of the Second Asia conference on Asia Information Retrieval Technology
Inter-media concept-based medical image indexing and retrieval With UMLS at IPAL
CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
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Supervised statistical learning has become a critical means to design and learn visual concepts (e.g., faces, foliage, buildings, etc.) in content-based indexing systems. The drawback of this approach is the need of manual labeling of regions. While several automatic image annotation methods proposed recently are very promising, they usually rely on the availability and analysis of associated text descriptions. In this paper, we propose a hybrid learning framework to discover local semantic regions and generate their samples for training of local detectors with minimal human intervention. A multiscale segmentation-free framework is proposed to embed the soft presence of discovered semantic regions and local class patterns in an image independently for indexing and matching. Based on 2400 heterogeneous consumer images with 16 semantic queries, both similarity matching based on individual index and integrated similarity matching have outperformed a feature fusion approach by 26% and 37% in average precisions, respectively.