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Improved fade and dissolve detection for reliable video segmentation

Truong, Ba Tu, Dorai, Chitra and Venkatesh, Svetha 2000, Improved fade and dissolve detection for reliable video segmentation, in ICIP 2000 : Proceedings of the IEEE International Conference on Image Processing, IEEE, Washington, D. C., pp. 961-964.

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Title Improved fade and dissolve detection for reliable video segmentation
Author(s) Truong, Ba Tu
Dorai, Chitra
Venkatesh, Svetha
Conference name International Conference on Image Processing (2000 : Vancouver, B. C.)
Conference location Vancouver, B. C.
Conference dates 10-13 Sep. 2000
Title of proceedings ICIP 2000 : Proceedings of the IEEE International Conference on Image Processing
Editor(s) [Unknown]
Publication date 2000
Conference series International Conference on Image Processing
Start page 961
End page 964
Total pages 4
Publisher IEEE
Place of publication Washington, D. C.
Keyword(s) algorithm design and analysis
change detection algorithms
gunshot detection systems
image segmentation
layout
mood
performance analysis
production
robustness
video compression
Summary We present improved algorithms for automatic fade and dissolve detection in digital video analysis. We devise 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 early work in scene change detection which focuses on identifying the existence of a transition rather than its precise temporal extent. We evaluate our algorithms against two other commonly used methods on a comprehensive data set, and demonstrate the improved performance due to our enhancements.
Notes This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
ISBN 0780362977
Language eng
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 ©2000, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044531

Document type: Conference Paper
Collections: School of Information Technology
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