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New enhancements to cut, fade, and dissolve detection processes in video segmentation

Truong, Ba Tu, Dorai, Chitra and Venkatesh, Svetha 2000, New enhancements to cut, fade, and dissolve detection processes in video segmentation, in MULTIMEDIA 2000 : Proceedings of the ACM International Multimedia Conference and Exhibition, ACM, New York, N. Y., pp. 219-227.

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Title New enhancements to cut, fade, and dissolve detection processes in video segmentation
Author(s) Truong, Ba Tu
Dorai, Chitra
Venkatesh, Svetha
Conference name ACM International Conference on Multimedia (8th : 2000 : Los Angeles, Calif)
Conference location Los Angeles, Calif.
Conference dates 30 Oct.- 4 Nov. 2000
Title of proceedings MULTIMEDIA 2000 : Proceedings of the ACM International Multimedia Conference and Exhibition
Editor(s) [Unknown]
Publication date 2000
Conference series ACM International Conference on Multimedia
Start page 219
End page 227
Total pages 9
Publisher ACM
Place of publication New York, N. Y.
Keyword(s) algorithms
image coding
image enhancement
image processing
spurious signal noise
digital video analysis
shot detection
video segmentation
Summary We present improved algorithms for cut, fade, and dissolve detection which are fundamental steps in digital video analysis. In particular, we propose a new adaptive threshold determination method that is shown to reduce artifacts created by noise and motion in scene cut detection. We also describe new two-step algorithms for fade and dissolve detection, and introduce a method for eliminating false positives from a list of detected candidate transitions. In our detailed study of these gradual shot transitions, our objective has been to accurately classify the type of transitions (fade-in, fade-out, and dissolve) and to precisely locate the boundary of the transitions. This distinguishes our work from other early work in scene change detection which tends to focus primarily on identifying the existence of a transition rather than its precise temporal extent. We evaluate our improved algorithms against two other commonly used shot detection techniques on a comprehensive data set, and demonstrate the improved performance due to our enhancements.
ISBN 1581131984
Language eng
Field of Research 109999 Technology not elsewhere classified
Socio Economic Objective 970110 Expanding Knowledge in Technology
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2000, ACM
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044536

Document type: Conference Paper
Collection: School of Information Technology
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