ACM SIGMOD Record
The myth of semantic video retrieval
ACM Computing Surveys (CSUR)
Speech recognition for a digital video library
Journal of the American Society for Information Science - Special topic issue: artificial intelligence techniques for emerging information systems applications
Designing a digital library for young children
Proceedings of the 1st ACM/IEEE-CS joint conference on Digital libraries
The Application of Video Semantics and Theme Representation in Automated Video Editing
Multimedia Tools and Applications
The Stratification System - A Design Emvironment for Random Access
Proceedings of the Third International Workshop on Network and Operating System Support for Digital Audio and Video
Data Semantics for Improving Retrieval Performance of Digital News Video Systems
DS-8 Proceedings of the IFIP TC2/WG2.6 Eighth Working Conference on Database Semantics- Semantic Issues in Multimedia Systems
Query-by-example: a data base language
IBM Systems Journal
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Video files are very complex objects. For many years, researchers developed models to allow for search-and-retrieval systems specific for these objects. Since the results of a query will be a set of videos or of segments of videos, their size may be prohibitive, and do not allow for pre-validation before downloading. Moreover, many features of the video files - for example the multiplicity of their formats - can make problems.We propose in this article an original approach based on the notions of metadata and video thumbnails, which can answer the problem of searching efficiently the video files, while allowing the quick transmission of information allowing to pre-view the results of the query before downloading them. Indeed, in our approach, the video thumbnails is integrated into the structure we propose to describe the video. This allows a powerful search within the various elements of the video. Our model is generic and flexible, so as to fit with the various structures of existing databases used for describing video files.