DocumentCode
1430679
Title
Summarization of videotaped presentations: automatic analysis of motion and gesture
Author
Ju, Shanon X. ; Black, Michael J. ; Minneman, Scott ; Kimber, Don
Author_Institution
Dept. of Comput. Sci., Toronto Univ., Ont., Canada
Volume
8
Issue
5
fYear
1998
fDate
9/1/1998 12:00:00 AM
Firstpage
686
Lastpage
696
Abstract
This paper presents an automatic system for analyzing and annotating video sequences of technical talks. Our method uses a robust motion estimation technique to detect key frames and segment the video sequence into subsequences containing a single overhead slide. The subsequences are stabilized to remove motion that occurs when the speaker adjusts their slides. Any changes remaining between frames in the stabilized sequences may be due to speaker gestures such as pointing or writing, and we use active contours to automatically track these potential gestures. Given the constrained domain, we define a simple set of actions that can be recognized based on the active contour shape and motion. The recognized actions provide an annotation of the sequence that can be used to access a condensed version of the talk from a Web page
Keywords
edge detection; image recognition; image segmentation; image sequences; motion estimation; video recording; video signal processing; Web page; active contour motion; active contour shape; automatic analysis; constrained domain; key frames detection; overhead slide; pointing gestures recognition; robust motion estimation; sequence annotation; subsequences; video sequence segmentation; video sequences; videotaped presentations; writing; Active contours; Cameras; Image sequence analysis; Motion analysis; Motion detection; Motion estimation; Robustness; Video sequences; Web pages; Writing;
fLanguage
English
Journal_Title
Circuits and Systems for Video Technology, IEEE Transactions on
Publisher
ieee
ISSN
1051-8215
Type
jour
DOI
10.1109/76.718513
Filename
718513
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