Hierarchical topical segmentation in instructional films based on cinematic expressive functions

Authors:
Dinh Q. Phung;Svetha Venkatesh;Chitra Dorai
Affiliations:
Curtin University of Technology, Perth, W. Australia;Curtin University of Technology, Perth, W. Australia;IBM T. J. Watson Research Center, Yorktown Heights, New York
Venue:
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Year:
2003

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Abstract

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.