Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
The effect multiple query representations on information retrieval system performance
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Efficient and effective querying by image content
Journal of Intelligent Information Systems - Special issue: advances in visual information management systems
Combining automatic and manual index representations in probabilistic retrieval
Journal of the American Society for Information Science
A case for interaction: a study of interactive information retrieval behavior and effectiveness
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Interactive information retrieval systems: from user centered interface design to software design
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Analyses of multiple evidence combination
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Attributes of images in describing tasks
Information Processing and Management: an International Journal
RELIEF: combining expressiveness and rapidity into a single system
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Knowledge representation: logical, philosophical and computational foundations
Knowledge representation: logical, philosophical and computational foundations
Visual information retrieval
Semantic based image retrieval: a probabilistic approach
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Explicit query formulation with visual keywords
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Semantic Queries with Pictures: The VIMSYS Model
VLDB '91 Proceedings of the 17th International Conference on Very Large Data Bases
EMIR2: An Extended Model for Image Representation and Retrieval
DEXA '95 Proceedings of the 6th International Conference on Database and Expert Systems Applications
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
IEEE Transactions on Image Processing
Multimedia Tools and Applications
Home photo retrieval: time matters
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
A relational vector space model using an advanced weighting scheme for image retrieval
Information Processing and Management: an International Journal
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
A full-text framework for the image retrieval signal/semantic integration
DEXA'05 Proceedings of the 16th international conference on Database and Expert Systems Applications
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
Dynamic two-stage image retrieval from large multimedia databases
Information Processing and Management: an International Journal
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Photograph retrieval systems face the difficulty to deal with the different ways to apprehend the content of images. We consider and demonstrate here the use of multiple index representations of photographs to achieve effective retrieval. The use of multiple indexes allows integration of the complementary strengths of different indexing and retrieval models. The proposed representation supports multiple labels for regions and attributes, and handles inferences and relationships. We define links between indexing levels and the related query modes. The experiment conducted on 2400 home photographs shows the behavior of the multiple indexing levels during retrieval.