Scene Boundary Detection from Movie Dialogue: A Genetic Algorithm Approach

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Main Author: Amitava Kundu
Format: Artículo científico
Language:en
Published: Instituto Politécnico Nacional 2013
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author Amitava Kundu
author_facet Amitava Kundu
contents Scene Boundary Detection from Movie Dialogue: A Genetic Algorithm Approach Amitava Kundu Dipankar Das Sivaji Bandyopadhyay Computación scene Dialogue movie script genetic algorithm Movie scripts are a rich textual resource that can be tapped for movie content analysis. This article describes a mechanism for fragmenting a sequence of movie script dialogue into scene-wise groups. In other words, it attempts to locate scene transitions using information acquired from a sequence of dialogue units. We collect movie scripts from a web archive. Thereafter, we preprocess them to develop a resource of dialogues. We feed the dialogue sequence from a script to a Genetic Algorithm (GA) framework. The system fragments the sequence into adjacent groups of dialogue units or output ‘scenes’. We use SentiWordnet scores and Wordnet distance for dialogue units to optimize this grouping so that adjacent scenes are semantically most dissimilar. Then we compare the resulting fragmented dialogue sequence with the original scene-wise alignment of dialogue in the script. 2013 artículo científico 1870-9044 https://www.redalyc.org/articulo.oa?id=402640461007 en http://www.redalyc.org/revista.oa?id=4026 Polibits application/pdf Instituto Politécnico Nacional Polibits (México) Vol.47
format Artículo científico
id redalyc_402640461007
institution Redalyc
language en
publishDate 2013
publisher Instituto Politécnico Nacional
spellingShingle Scene Boundary Detection from Movie Dialogue: A Genetic Algorithm Approach
Amitava Kundu
Computación
scene
Dialogue
movie script
genetic algorithm
Scene Boundary Detection from Movie Dialogue: A Genetic Algorithm Approach Amitava Kundu Dipankar Das Sivaji Bandyopadhyay Computación scene Dialogue movie script genetic algorithm Movie scripts are a rich textual resource that can be tapped for movie content analysis. This article describes a mechanism for fragmenting a sequence of movie script dialogue into scene-wise groups. In other words, it attempts to locate scene transitions using information acquired from a sequence of dialogue units. We collect movie scripts from a web archive. Thereafter, we preprocess them to develop a resource of dialogues. We feed the dialogue sequence from a script to a Genetic Algorithm (GA) framework. The system fragments the sequence into adjacent groups of dialogue units or output ‘scenes’. We use SentiWordnet scores and Wordnet distance for dialogue units to optimize this grouping so that adjacent scenes are semantically most dissimilar. Then we compare the resulting fragmented dialogue sequence with the original scene-wise alignment of dialogue in the script. 2013 artículo científico 1870-9044 https://www.redalyc.org/articulo.oa?id=402640461007 en http://www.redalyc.org/revista.oa?id=4026 Polibits application/pdf Instituto Politécnico Nacional Polibits (México) Vol.47
title Scene Boundary Detection from Movie Dialogue: A Genetic Algorithm Approach
topic Computación
scene
Dialogue
movie script
genetic algorithm
url https://www.redalyc.org/articulo.oa?id=402640461007