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Presentation
Semantic modeling for video content-based retrieval systems
Faculty of Informatics - Papers (Archive)
  • L. A. Al Safadi, University of Wollongong
  • J. R. Getta, University of Wollongong
Publication Date
31-1-2000
Publication Details

This paper originally appeared as: Al Safadi, LA and Getta, JR, Semantic modeling for video content-based retrieval systems, 23rd Australasian Computer Science Conference, 31 January - 3 February 2000, 2-9. Copyright IEEE 2000.

Abstract

This work proposes a semantic data model for video documents based on the story-line structure powerful enough to express various human interpretations of video documents, and introduces a formal query language for video retrieval that facilitates retrieval of users' heterogeneous queries based on the proposed model. The paper identifies the elementary semantic units, composite semantic units, associations and abstraction mechanisms necessary for symbolic modeling of semantic video contents. The method is independent of presentation media and it has its origins in symbolic modeling systems developed for database and complex software systems design.

Citation Information
L. A. Al Safadi and J. R. Getta. "Semantic modeling for video content-based retrieval systems" (2000)
Available at: http://works.bepress.com/jgetta/12/