DocumentCode :
1833305
Title :
An Evolutionary Approach to Automatic Video Editing
Author :
Wang, Tinghuai ; Mansfield, Andrew ; Hu, Rui ; Collomosse, John P.
Author_Institution :
Centre for Vision, Speech & Signal Process. Univ. of Surrey, Guildford, UK
fYear :
2009
fDate :
12-13 Nov. 2009
Firstpage :
127
Lastpage :
134
Abstract :
Digital video has become affordable and attractive to home users, but skill and manual labour are still required to transform amateur footage into aesthetically pleasing movies. We present a novel algorithm for transforming raw home video footage into concise, temporally salient clips. We interpret the sequence of editing operations applied to footage as a `program´ comprising cutting, panning and zooming constructs. We develop a Genetic Programming (GP) framework for representing and evolving such programs. Under this framework, the search for an aesthetically pleasing video edit becomes a search for the optimal genetic program. Our aesthetic criterion promotes the inclusion of people in shots, whilst penalising rapid shot changes or shot changes in the presence of camera motion. We present results on some representative home videos.
Keywords :
genetic algorithms; video cameras; video signal processing; automatic video editing; camera motion; digital video; genetic programming framework; home video footage; optimal genetic program; Cameras; Costs; Genetic programming; Hardware; Motion pictures; Programming profession; Signal processing algorithms; Speech processing; Video signal processing; Videoconference; consumer video; editting; genetic programming;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Media Production, 2009. CVMP '09. Conference for
Conference_Location :
London
Print_ISBN :
978-1-4244-5257-6
Electronic_ISBN :
978-0-7695-3893-8
Type :
conf
DOI :
10.1109/CVMP.2009.8
Filename :
5430070
Link To Document :
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