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Hierarchical topical segmentation in instructional films based on cinematic expressive functions

Phung, Dinh Q., Venkatesh, Svetha and Dorai, Chitra 2003, Hierarchical topical segmentation in instructional films based on cinematic expressive functions, in MULTIMEDIA 2003 : Proceedings of the 11th ACM International Multimedia Conference and Exhibition, ACM, New York, N. Y., pp. 287-290, doi: 10.1145/957013.957073.

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Title Hierarchical topical segmentation in instructional films based on cinematic expressive functions
Author(s) Phung, Dinh Q.ORCID iD for Phung, Dinh Q. orcid.org/0000-0002-9977-8247
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Dorai, Chitra
Conference name ACM International Conference on Multimedia (11th : 2003 : Berkeley, Calif.)
Conference location Berkeley, Calif.
Conference dates 2-8 Nov. 2003
Title of proceedings MULTIMEDIA 2003 : Proceedings of the 11th ACM International Multimedia Conference and Exhibition
Editor(s) [Unknown]
Publication date 2003
Conference series ACM International Conference on Multimedia
Start page 287
End page 290
Total pages 4
Publisher ACM
Place of publication New York, N. Y.
Keyword(s) cinematic expressive functions
instructional films
media aesthetics
narrative structure
topic detection/segmentation
Summary In this paper, we propose a novel solution for segmenting an instructional video into hierarchical topical sections. Incorporating the knowledge of education-oriented film theory with our previous study of expressive functions namely the content density and the thematic functions, we develop an algorithm to effectively structuralize an instructional video into a two-tiered hierarchy of topical sections at the main and sub-topic levels. Our experimental results on a set of ten industrial instructional videos demonstrate the validity of the detection scheme.
ISBN 1581137222
Language eng
DOI 10.1145/957013.957073
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 ©2003, ACM
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044645

Document type: Conference Paper
Collection: School of Information Technology
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