On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
WordNet: a lexical database for English
Communications of the ACM
Modeling visual attention via selective tuning
Artificial Intelligence - Special volume on computer vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Document representations and clues to document relevance
Journal of the American Society for Information Science
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Information Retrieval
Fuzzy Algorithms: With Applications to Image Processing and Pattern Recognition
Fuzzy Algorithms: With Applications to Image Processing and Pattern Recognition
Modern Information Retrieval
Using WordNet and Lexical Operators to Improve Internet Searches
IEEE Internet Computing
Classifier Combinations: Implementations and Theoretical Issues
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
Image Indexing Using Color Correlograms
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Proceedings of the 3rd ACM/IEEE-CS joint conference on Digital libraries
WebSeer: An Image Search Engine for the World Wide Web
WebSeer: An Image Search Engine for the World Wide Web
Combining Pattern Classifiers: Methods and Algorithms
Combining Pattern Classifiers: Methods and Algorithms
Verbs semantics and lexical selection
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Image Retrieval from the World Wide Web: Issues, Techniques, and Systems
ACM Computing Surveys (CSUR)
Multi-model similarity propagation and its application for web image retrieval
Proceedings of the 12th annual ACM international conference on Multimedia
Multi-graph enabled active learning for multimodal web image retrieval
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Content-based image retrieval: approaches and trends of the new age
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Dual diffusion model of spreading activation for content-based image retrieval
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
A survey of content-based image retrieval with high-level semantics
Pattern Recognition
An ontology-driven approach for semantic information retrieval on the Web
ACM Transactions on Internet Technology (TOIT)
Semantic combination of textual and visual information in multimedia retrieval
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Relevance feature mapping for content-based multimedia information retrieval
Pattern Recognition
Narrowing the semantic gap - improved text-based web document retrieval using visual features
IEEE Transactions on Multimedia
CBSA: content-based soft annotation for multimodal image retrieval using Bayes point machines
IEEE Transactions on Circuits and Systems for Video Technology
Towards a user based recommendation strategy for digital ecosystems
Knowledge-Based Systems
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Multimedia information retrieval MIR has become a very active research area. Many retrieval approaches, based on extracting and representing visual properties of multimedia data, have been developed. These approaches are usually based on the processing of low level features i.e., visual features for image and video data or on high level knowledge: a combination of the two has not still drawn enough attention. This paper introduces a novel approach and a complete framework to MIR, in which the user uses both textual and visual semantic information in order to retrieve data more accurately. Our approach has been implemented in a prototype system and several experiments in the World Wide Web domain have been carried out using numerous tests. These tests show that the integration of such data significantly improves the retrieval system performances.