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, doi: 10.1145/354384.354481. Attached Files Name Description MIMEType Size Downloads 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 DOI 10.1145/354384.354481 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 Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Fri, 20 Apr 2012, 11:30:37 EST Mon, 23 Apr 2012, 12:49:56 EST Mon, 23 Apr 2012, 12:51:36 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 81 times in Scopus Search Google Scholar Access Statistics: 142 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Fri, 20 Apr 2012, 11:30:37 EST

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