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{{Techreport | {{Techreport | ||
|Title= | |Title=A Database Approach for Modeling and Querying Video Data | ||
|Year=1999 | |Year=1999 | ||
|Month= | |Month= | ||
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}} | }} | ||
{{Publikation Details | {{Publikation Details | ||
|Abstract=Indexing video data is essential for providing content based access. | |Abstract=Indexing video data is essential for providing content based access. In this paper, we consider how database technology can offer an integrated framework for modeling and querying video data. As many concerns in video (e.g., modeling and querying) are also found in databases, databases provide an interesting angle to attack many of the problems. From a video applications perspective, database systems provide a nice basis for future video systems. More generally, database research will provide solutions to many video issues even if these are partial or fragmented. From a database perspective, video applications provide beautiful challenges. Next generation database systems will need to provide support for multimedia data (e.g., image, video, audio). These data types require new techniques for their management (i.e., storing, modeling, querying, etc.). Hence new solutions are significant. This paper develops a data model and a rule-based query language for video content based indexing and retrieval. The data model is designed around the object and constraint paradigms. A video sequence is split into a set of fragments. Each fragment can be analyzed to extract the information (symbolic descriptions) 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 (objects) of interest in the domain of a video sequence, (2) video frames 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. | ||
In this paper, we consider how database technology can offer an | |||
integrated framework for modeling and querying video data. | |||
concerns in video (e.g., modeling and querying) are also found in | |||
databases, databases provide an interesting angle to attack many of the | |||
problems. From a video applications perspective, database systems | |||
provide a nice | |||
basis for future video systems. More generally, database research | |||
will provide solutions to many video issues even if these are partial or | |||
fragmented. | |||
beautiful challenges. | |||
provide support for multimedia data (e.g., image, video, audio). These | |||
data types require new techniques for their management (i.e., storing, | |||
modeling, querying, etc.). Hence new solutions are significant. | |||
This paper develops a data model and a rule-based query language for video | |||
content based indexing and retrieval. | |||
the object and constraint paradigms. A video sequence is split into a set | |||
of fragments. Each fragment can be analyzed to extract the information | |||
(symbolic descriptions) 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 (objects) of interest in the | |||
domain of a video sequence, (2) video frames 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. | |||
|ISBN= | |ISBN= | ||
|ISSN= | |ISSN= | ||
| Zeile 60: | Zeile 34: | ||
year = {1999}, | year = {1999}, | ||
} | } | ||
}} | }} | ||
Aktuelle Version vom 25. März 2015, 16:34 Uhr
A Database Approach for Modeling and Querying Video Data
C. DecleirC. Decleir, M.-S. HacidM.-S. Hacid, J. KouloumdjianJ. Kouloumdjian
C. Decleir, M.-S. Hacid, J. Kouloumdjian
A Database Approach for Modeling and Querying Video Data
Technical Report, LuFg Theoretical Computer Science, RWTH Aachen, volume LTCS-99-03, 1999. LTCS-Report
A Database Approach for Modeling and Querying Video Data
Technical Report, LuFg Theoretical Computer Science, RWTH Aachen, volume LTCS-99-03, 1999. LTCS-Report
- KurzfassungAbstract
Indexing video data is essential for providing content based access. In this paper, we consider how database technology can offer an integrated framework for modeling and querying video data. As many concerns in video (e.g., modeling and querying) are also found in databases, databases provide an interesting angle to attack many of the problems. From a video applications perspective, database systems provide a nice basis for future video systems. More generally, database research will provide solutions to many video issues even if these are partial or fragmented. From a database perspective, video applications provide beautiful challenges. Next generation database systems will need to provide support for multimedia data (e.g., image, video, audio). These data types require new techniques for their management (i.e., storing, modeling, querying, etc.). Hence new solutions are significant. This paper develops a data model and a rule-based query language for video content based indexing and retrieval. The data model is designed around the object and constraint paradigms. A video sequence is split into a set of fragments. Each fragment can be analyzed to extract the information (symbolic descriptions) 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 (objects) of interest in the domain of a video sequence, (2) video frames 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. - Bemerkung: Note: See http://www-lti.informatik.rwth-aachen.de/Forschung/Papers.html
- Forschungsgruppe:Research Group: AutomatentheorieAutomata Theory
@techreport{ Decleir-Hacid-Kouloumdjian-LTCS-99,
address = {Germany},
author = {C. {Decleir} and M.-S. {Hacid} and J. {Kouloumdjian}},
institution = {LuFg Theoretical Computer Science, RWTH Aachen},
note = {See http://www-lti.informatik.rwth-aachen.de/Forschung/Papers.html},
number = {LTCS-99-03},
title = {{A} {D}atabase {A}pproach for {M}odeling and {Q}uerying {V}ideo {D}ata},
type = {LTCS-Report},
year = {1999},
}
