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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 Venkatesh
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.

History

Event

ACM International Conference on Multimedia (8th : 2000 : Los Angeles, Calif)

Pagination

219 - 227

Publisher

ACM

Location

Los Angeles, Calif.

Place of publication

New York, N. Y.

Start date

2000-10-30

End date

2000-11-04

ISBN-10

1581131984

Language

eng

Publication classification

E1.1 Full written paper - refereed

Copyright notice

2000, ACM

Title of proceedings

MULTIMEDIA 2000 : Proceedings of the ACM International Multimedia Conference and Exhibition

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