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Scene extraction in motion pictures

Truong, Ba Tu, Venkatesh, Svetha and Dorai, Chitra 2003, Scene extraction in motion pictures, IEEE transactions on circuits and systems for video technology, vol. 13, no. 1, pp. 5-15, doi: 10.1109/TCSVT.2002.808084.

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Title Scene extraction in motion pictures
Author(s) Truong, Ba Tu
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Dorai, Chitra
Journal name IEEE transactions on circuits and systems for video technology
Volume number 13
Issue number 1
Start page 5
End page 15
Total pages 11
Publisher IEEE
Place of publication Piscataway, N.J.
Publication date 2003-01
ISSN 1051-8215
1558-2205
Keyword(s) Computational media aesthetics
Scene extraction
Video segmentation
Summary This paper addresses the challenge of bridging the semantic gap between the rich meaning users desire when they query to locate and browse media and the shallowness of media descriptions that can be computed in today's content management systems. To facilitate high-level semantics-based content annotation and interpretation, we tackle the problem of automatic decomposition of motion pictures into meaningful story units, namely scenes. Since a scene is a complicated and subjective concept, we first propose guidelines from fill production to determine when a scene change occurs. We then investigate different rules and conventions followed as part of Fill Grammar that would guide and shape an algorithmic solution for determining a scene. Two different techniques using intershot analysis are proposed as solutions in this paper. In addition, we present different refinement mechanisms, such as film-punctuation detection founded on Film Grammar, to further improve the results. These refinement techniques demonstrate significant improvements in overall performance. Furthermore, we analyze errors in the context of film-production techniques, which offer useful insights into the limitations of our method.
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.
Language eng
DOI 10.1109/TCSVT.2002.808084
Field of Research 080104 Computer Vision
Socio Economic Objective 890205 Information Processing Services (incl. Data Entry and Capture)
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2003, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044268

Document type: Journal Article
Collections: School of Information Technology
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.