PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

An Evolutionary Approach to Automatic Video Editing
Tinghuai Wang, Andrew Mansfield, Rui Hu and John Collomosse
In: 6th European Conf. on Visual Media Production (CVMP) 2009, London, UK(2009).


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 editting 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.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
Theory & Algorithms
ID Code:8352
Deposited By:John Collomosse
Deposited On:30 October 2011