International Journal of Computer Vision
Handbook of pattern recognition & computer vision
A flexible image database system for content-based retrieval
Computer Vision and Image Understanding - Special issue on content-based access for image and video libraries
SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Linguistic Indexing of Pictures by a Statistical Modeling Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
WALRUS: A Similarity Retrieval Algorithm for Image Databases
IEEE Transactions on Knowledge and Data Engineering
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
A Framework for Grid-Based Image Retrieval
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Video Data Mining: Semantic Indexing and Event Detection from the Association Perspective
IEEE Transactions on Knowledge and Data Engineering
A Performance Evaluation of Local Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy
Evolutionary Computation
Semantic Modeling of Natural Scenes for Content-Based Image Retrieval
International Journal of Computer Vision
Correlative multi-label video annotation
Proceedings of the 15th international conference on Multimedia
LabelMe: A Database and Web-Based Tool for Image Annotation
International Journal of Computer Vision
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
Features for image retrieval: an experimental comparison
Information Retrieval
Combining low-level features for semantic extraction in image retrieval
EURASIP Journal on Advances in Signal Processing
A genetic programming framework for content-based image retrieval
Pattern Recognition
The MIR flickr retrieval evaluation
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Inferring semantic concepts from community-contributed images and noisy tags
MM '09 Proceedings of the 17th ACM international conference on Multimedia
TurboPixels: Fast Superpixels Using Geometric Flows
IEEE Transactions on Pattern Analysis and Machine Intelligence
Correlative linear neighborhood propagation for video annotation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Content based image retrieval using unclean positive examples
IEEE Transactions on Image Processing
New trends and ideas in visual concept detection: the MIR flickr retrieval evaluation initiative
Proceedings of the international conference on Multimedia information retrieval
The Pascal Visual Object Classes (VOC) Challenge
International Journal of Computer Vision
IEEE Transactions on Multimedia
Measuring Concept Similarities in Multimedia Ontologies: Analysis and Evaluations
IEEE Transactions on Multimedia
Mining Multilevel Image Semantics via Hierarchical Classification
IEEE Transactions on Multimedia
Content-Based Image Retrieval Using Multiresolution Color and Texture Features
IEEE Transactions on Multimedia
Multilabel Neighborhood Propagation for Region-Based Image Retrieval
IEEE Transactions on Multimedia
Effective Image Retrieval Based on Hidden Concept Discovery in Image Database
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
Overview of the MPEG-7 standard
IEEE Transactions on Circuits and Systems for Video Technology
Relevance feedback in region-based image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
Semantic Image Segmentation and Object Labeling
IEEE Transactions on Circuits and Systems for Video Technology
Multimedia Search Without Visual Analysis: The Value of Linguistic and Contextual Information
IEEE Transactions on Circuits and Systems for Video Technology
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This article introduces an image classification approach in which the semantic context of images and multiple low-level visual features are jointly exploited. The context consists of a set of semantic terms defining the classes to be associated to unclassified images. Initially, a multiobjective optimization technique is used to define a multifeature fusion model for each semantic class. Then, a Bayesian learning procedure is applied to derive a context model representing relationships among semantic classes. Finally, this context model is used to infer object classes within images. Selected results from a comprehensive experimental evaluation are reported to show the effectiveness of the proposed approaches.