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
Link To Document :
بازگشت