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New enhancements to cut, fade, and dissolve detection processes in video segmentation
conference contribution
posted on 2000-01-01, 00:00 authored by B Truong, C Dorai, Svetha VenkateshSvetha VenkateshWe 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.
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Event
ACM International Conference on Multimedia (8th : 2000 : Los Angeles, Calif)Pagination
219 - 227Publisher
ACMLocation
Los Angeles, Calif.Place of publication
New York, N. Y.Publisher DOI
Start date
2000-10-30End date
2000-11-04ISBN-10
1581131984Language
engPublication classification
E1.1 Full written paper - refereedCopyright notice
2000, ACMTitle of proceedings
MULTIMEDIA 2000 : Proceedings of the ACM International Multimedia Conference and ExhibitionUsage metrics
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