An Evolutionary Approach to Automatic Video Editing

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "Tinghuai Wang and Andrew Mansfield and Rui Hu and 
                 John P. Collomosse",
  title =        "An Evolutionary Approach to Automatic Video Editing",
  booktitle =    "Conference for Visual Media Production, CVMP '09",
  year =         "2009",
  month =        "12-13 " # nov,
  pages =        "127--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
  keywords =     "genetic algorithms, genetic programming, automatic
                 video editing, camera motion, digital video, genetic
                 programming framework, home video footage, optimal
                 genetic program, video cameras, video signal
  DOI =          "doi:10.1109/CVMP.2009.8",
  notes =        "Also known as \cite{5430070}",

Genetic Programming entries for Tinghuai Wang Andrew Mansfield Rui Hu John P Collomosse