Language (vol.1): an invitation to cognitive science
Language (vol.1): an invitation to cognitive science
Relevance feedback and inference networks
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
On modeling information retrieval with probabilistic inference
ACM Transactions on Information Systems (TOIS)
The query by image content (QBIC) system
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Affective computing
Intelligent multimedia information retrieval
Intelligent multimedia information retrieval
Text Classification from Labeled and Unlabeled Documents using EM
Machine Learning - Special issue on information retrieval
Information Retrieval
Machine Learning
Flattening an Object Algebra to Provide Performance
ICDE '98 Proceedings of the Fourteenth International Conference on Data Engineering
The Mirror MMDBMS Architecture
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
The Design and Implementation of an Infrastructure for Multimedia Digital Libraries
IDEAS '98 Proceedings of the 1998 International Symposium on Database Engineering & Applications
An Association Thesaurus for Information Retrieval
An Association Thesaurus for Information Retrieval
Vision: A Computational Investigation into the Human Representation and Processing of Visual Information
Content independence in multimedia databases
Journal of the American Society for Information Science and Technology
Emotion-based textile indexing using colors, texture and patterns
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part II
DYMOND: an active system for dynamic vertical partitioning of multimedia databases
Proceedings of the 16th International Database Engineering & Applications Sysmposium
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Multimedia information retrieval in digital libraries is a difficult task for computers in general. Humans on the other hand are experts in perception, concept representation, knowledge organization and memory retrieval. Cognitive psychology and science describe how cognition works in humans, but can offer valuable clues to information retrieval researchers as well. Cognitive psychologists view the human mind as a general-purpose Ysymbol-processing system that interacts with the world. A multimedia Yinformation retrieval system can also be regarded as a symbol-processing system that interacts with the environment. Its underlying information retrieval model can be seen as a cognitive framework that describes how the describe the design and implementation of a combined text/image retrieval system (as an example of a multimedia retrieval system) that is inspired by cognitive theories such as Paivio's dual coding theory and Marr's theory of perception. User interaction and an automatically created thesaurus that maps text concepts and internal image concept representations, generated by various feature extraction algorithms, improve the query formulation process of the image retrieval system. Unlike most``multimedia databases'' found in literature, this image retrieval system uses the the functionality provided by an extensible multimedia DBMSthat itself is part of an open distributed environment.