Video indexing by spatial representation

Liang, Raymond Zhongjun, Venkatesh, Svetha and Kieronska, Dorota 1995, Video indexing by spatial representation, in ANZIIS-95 : Proceedings of the 3rd Australian and New Zealand Conference on Intelligent Information Systems, University of Western Australia, Perth, W. A., pp. 99-104.

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Title Video indexing by spatial representation
Author(s) Liang, Raymond Zhongjun
Venkatesh, Svetha
Kieronska, Dorota
Conference name Australian and New Zealand Conference on Intelligent Information Systems (3rd : 1995 : Perth, W. A.)
Conference location Perth, W. A.
Conference dates 27 Nov. 1995
Title of proceedings ANZIIS-95 : Proceedings of the 3rd Australian and New Zealand Conference on Intelligent Information Systems
Editor(s) [Unknown]
Publication date 1995
Conference series Australian and New Zealand Conference on Intelligent Information Systems
Start page 99
End page 104
Total pages 6
Publisher University of Western Australia
Place of publication Perth, W. A.
Keyword(s) brightness
cameras
image retrieval
indexing
knowledge representation
layout
optical recording
pixel
video sequences
Summary Recent approaches to video indexing and retrieval are either pixel-oriented or object-oriented. While the former approaches focus on motion and changes thereto, the latter focus on spatial relations among objects in the scene. In this paper, a spatial knowledge representation technique combining both approaches is proposed. This representation supplements the spatial knowledge of visual objects with information about their pixel positions in the video frame. It provides a practical way to construct video indices, enabling searching for and retrieval of video sequences that contain motion as well as sparsely disjoint objects
ISBN 0864224303
Language eng
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1.1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044837

Document type: Conference Paper
Collection: School of Information Technology
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