Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Braque: design of an interface to support user interaction in information retrieval
Information Processing and Management: an International Journal - Special issue on hypertext and information retrieval
A video retrieval and sequencing system
ACM Transactions on Information Systems (TOIS) - Special issue on video information retrieval
Adding macroscopic semantics to anchors in knowledge-based hypertext
International Journal of Human-Computer Studies - Special issue: knowledge-based hypermedia
The advanced video information system: data structures and query processing
Multimedia Systems
Communications of the ACM
In search of information in visual media
Communications of the ACM
Retrieving and visualizing video
Communications of the ACM
Communications of the ACM
Visual information retrieval from large distributed online repositories
Communications of the ACM
Managing multimedia information in database systems
Communications of the ACM
Surfimage: a flexible content-based image retrieval system
MULTIMEDIA '98 Proceedings of the sixth ACM international conference on Multimedia
Composition and Search with a Video Algebra
IEEE MultiMedia
Indexes Are "Out," Models Are "In"
IEEE MultiMedia
Cinematic Primitives for Multimedia
IEEE Computer Graphics and Applications
OVID: Design and Implementation of a Video-Object Database System
IEEE Transactions on Knowledge and Data Engineering
A Time-Stamped Authoring Graph for Video Databases
DEXA '97 Proceedings of the 8th International Conference on Database and Expert Systems Applications
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We first insist on the need for conceptual and knowledge-based audiovisual (AV) models in AV and multimedia information retrieval systems.We then propose several criteria for characterizing audio-visual representation approaches, and present a new approach for modeling and structuring AV documents with Annotations Interconnected Strata (AI-STRATA). This consists in analyzing AV documents through analysis dimensions allowing the detection of objects of interest of any type (structural, conceptual,... ). Annotations are structured by annotation elements (AE) representing both objects of interest and relationships. A knowledge base is used in order to monitor the annotation process. We show how to use annotations to link different strata on the base of explicit or implicit contexts and how AI-Strata can be used to build contextual views of a stratum, using both annotation and knowledge levels. We finally show how the model can efficiently support different description tasks such as indexing, searching and browsing audiovisual material.