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Modeling and Querying Video Data: A Hybrid Approach

Cyril DecleirCyril Decleir, Mohand-Saïd HacidMohand-Saïd Hacid, Jacques KouloumdjianJacques Kouloumdjian

Datei:Decleir-CBAIVL-98.ps.gz

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Cyril Decleir, Mohand-Saïd Hacid, Jacques Kouloumdjian
Modeling and Querying Video Data: A Hybrid Approach
Proceedings of the IEEE Workshop on Content-Based Access of Image \& Video Libraries (CBAIVL'98), Santa Barbara, CA, USA, 86--90, 1998. IEEE Computer Society

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KurzfassungAbstract
This paper develops a video data model and a rule-based query language
for video retrieval. A video sequence is split into a set of fragments. Each fragment can be analyzed to extract the information of interest that can be put into a database. This database can then be searched to find information of interest. Two types of information are considered: (1) the entities (i.e., objects) of interest in a video sequence, (2) generalized strata (a set of fragments), which contain these entities. To represent these information, our data model allows facts as well as objects and constraints. We present a declarative, rule-based, constraint query language that can be used to infer relationships about information represented in the model. The language has a clear declarative
and operational semantics.
Forschungsgruppe:Research Group: AutomatentheorieAutomata Theory

@inproceedings{ Decleir98a,
  author = {Cyril {Decleir} and Mohand-Sa\"{\i}d {Hacid} and Jacques {Kouloumdjian}},
  booktitle = {Proceedings of the IEEE Workshop on Content-Based Access of Image \& Video Libraries (CBAIVL'98), Santa Barbara, CA, USA},
  month = {June},
  pages = {86--90},
  publisher = {IEEE Computer Society},
  title = {Modeling and Querying Video Data: A Hybrid Approach},
  year = {1998},
}