Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
(invited paper) A new theoretical framework for information retrieval
Proceedings of the 9th annual international ACM SIGIR conference on Research and development in information retrieval
Retrieving and visualizing video
Communications of the ACM
Maintaining knowledge about temporal intervals
Communications of the ACM
Composition and Search with a Video Algebra
IEEE MultiMedia
Cinematic Primitives for Multimedia
IEEE Computer Graphics and Applications
Architecture of a Multimedia Information System for Content-Based Retrieval
Proceedings of the Third International Workshop on Network and Operating System Support for Digital Audio and Video
Automatic Video Indexing and Full-Video Search for Object Appearances
Proceedings of the IFIP TC2/WG 2.6 Second Working Conference on Visual Database Systems II
An Approach to Spatio-Temporal Queries - Interval-Based Contents Representation of Images
DEXA '97 Proceedings of the 8th International Conference on Database and Expert Systems Applications
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This paper presents a temporal model of video for video retrieval systems. Time is the dimension that plays an essential role in the perception of video document content. The modelling of the different temporal characteristics of the video content is however a complicated problem. Our approach to this problem has consisted of distinguishing two different dimensions of time for video documents: video time and story time. The semantic structure proposed based on these two temporal dimensions, provides the user with a new modality of content description which is close to the semantic perception of the video documents. We present here how using the conceptual graphs formalism, the details of the temporal model can be represented in query, document and matching function of the retrieval process.