GENETIC ALGORITHM FOR SUMMARIZING NEWS STORIES

Mehdi Ellouze, Hichem Karray, Adel M.Alimi

2007

Abstract

This paper presents a new approach summarizing broadcast news using Genetic Algorithms. We propose to segment the news programs into stories, and then summarize stories by selecting from every one of them frames considered important to obtain an informative pictorial abstract. The summaries can help viewers to estimate the importance of the news video. Indeed, by consulting stories summaries we can affirm if the news video contain desired topics.

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Paper Citation


in Harvard Style

Ellouze M., Karray H. and M.Alimi A. (2007). GENETIC ALGORITHM FOR SUMMARIZING NEWS STORIES . In Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, ISBN 978-972-8865-73-3, pages 303-308. DOI: 10.5220/0002055003030308


in Bibtex Style

@conference{visapp07,
author={Mehdi Ellouze and Hichem Karray and Adel M.Alimi},
title={GENETIC ALGORITHM FOR SUMMARIZING NEWS STORIES},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,},
year={2007},
pages={303-308},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002055003030308},
isbn={978-972-8865-73-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,
TI - GENETIC ALGORITHM FOR SUMMARIZING NEWS STORIES
SN - 978-972-8865-73-3
AU - Ellouze M.
AU - Karray H.
AU - M.Alimi A.
PY - 2007
SP - 303
EP - 308
DO - 10.5220/0002055003030308