A rule-based video database system architecture
Date
2002Source Title
Information Sciences
Print ISSN
0020-0255 1872-6291
Publisher
Elsevier
Volume
143
Issue
1-4
Pages
13 - 45
Language
English
Type
ArticleItem Usage Stats
200
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views
189
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Abstract
We propose a novel architecture for a video database system incorporating both spatio-temporal and semantic (keyword, event/activity and category-based) query facilities. The originality of our approach stems from the fact that we intend to provide full support for spatio-temporal, relative object-motion and similarity-based object-trajectory queries by a rule-based system utilizing a knowledge-base while using an object-relational database to answer semantic-based queries. Our method of extracting and modeling spatio-temporal relations is also a unique one such that we segment video clips into shots using spatial relationships between objects in video frames rather than applying a traditional scene detection algorithm. The technique we use is simple, yet novel and powerful in terms of effectiveness and user query satisfaction: video clips are segmented into shots whenever the current set of relations between objects changes and the video frames, where these changes occur, are chosen as keyframes. The directional, topological and third-dimension relations used for shots are those of the keyframes selected to represent the shots and this information is kept, along with frame numbers of the keyframes, in a knowledge-base as Prolog facts. The system has a comprehensive set of inference rules to reduce the number of facts stored in the knowledge-base because a considerable number of facts, which otherwise would have to be stored explicitly, can be derived by rules with some extra effort. © 2002 Elsevier Science Inc. All rights reserved.
Keywords
Content-Based RetrievalInference Rules
Information Systems
Knowledge Representation
Rule-Based Video Modeling
Spatio-Temporal Relations
Video Databases
Algorithms
Computer Architecture
Data Structures
Knowledge Based Systems
Semantics
Set Theory
Systems Analysis
Video Database Systems
Relational Database Systems
Permalink
http://hdl.handle.net/11693/24705Published Version (Please cite this version)
http://dx.doi.org/10.1016/S0020-0255(02)00172-XCollections
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