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Detection of setting and subject information in documentary video

Shearer, Kim and Venkatesh, Svetha 1999, Detection of setting and subject information in documentary video, in ICMCS 1999 : Proceedings of the 6th International Conference on Multimedia Computing and Systems, IEEE, [Washington, D. C.], pp. 797-801.

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Title Detection of setting and subject information in documentary video
Author(s) Shearer, Kim
Venkatesh, Svetha
Conference name International Conference on Multimedia Computing and Systems (6th : 1999 : Florence, Italy)
Conference location Florence, Italy
Conference dates 7-11 Jun. 1999
Title of proceedings ICMCS 1999 : Proceedings of the 6th International Conference on Multimedia Computing and Systems
Editor(s) [Unknown]
Publication date 1999
Conference series International Conference on Multimedia Computing and Systems
Start page 797
End page 801
Total pages 5
Publisher IEEE
Place of publication [Washington, D. C.]
Keyword(s) Australia
cameras
computer vision
event detection
information analysis
information retrieval
layout
libraries
machine intelligence
motion pictures
Summary Interpretation of video information is a difficult task for computer vision and machine intelligence. In this paper we examine the utility of a non-image based source of information about video contents, namely the shot list, and study its use in aiding image interpretation. We show how the shot list may be analysed to produce a simple summary of the 'who and where' of a documentary or interview video. In order to detect the subject of a video we use the notion of a 'shot syntax' of a particular genre to isolate actual interview sections.
Notes This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
ISBN 0769502539
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
Copyright notice ©1999, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044545
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