0000000000642386

AUTHOR

Majda Lafhel

showing 5 related works from this author

Movie Script Similarity Using Multilayer Network Portrait Divergence

2020

International audience; This paper addresses the question of movie similarity through multilayer graph similarity measures. Recent work has shown how to construct multilayer networks using movie scripts, and how they capture different aspects of the stories. Based on this modeling, we propose to rely on the multilayer structure and compute different similarities, so we may compare movies, not from their visual content, summary, or actors, but actually from their own storyboard. We propose to do so using “portrait divergence”, which has been recently introduced to compute graph distances from summarizing graph characteristics. We illustrate our approach on the series of six Star Wars movies.

Theoretical computer scienceComputer science02 engineering and technologyStar (graph theory)[INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]computer.software_genre01 natural sciences010305 fluids & plasmas[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Similarity (network science)[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]0103 physical sciences0202 electrical engineering electronic engineering information engineering[INFO]Computer Science [cs]StoryboardDivergence (statistics)Structure (mathematical logic)Network portraitMoviesMultilayer networksNetwork similarity[INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]Construct (python library)Scripting languageGraph (abstract data type)020201 artificial intelligence & image processingcomputer[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Assessing movie similarity using a multilayer network model

2021

International audience; This work investigates the movie similarity issue. A multilayer network model capturing various aspects of the story is built from movie scripts. Based on this representation, movies are compared not from summary or actors but using their storyboard. We rely on the "Portrait divergence" to quantify distances between graph characteristics. We illustrate the effectiveness of this approach in comparing movie series.

Network portrait[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]MoviesMultilayer networksNetwork similarity[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO]Computer Science [cs][INFO] Computer Science [cs]GeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)ComputingMilieux_MISCELLANEOUS
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Exploring network distances for movies comparison

2021

International audience

[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-SI] Computer Science [cs]/Social and Information Networks [cs.SI][INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO]Computer Science [cs][INFO] Computer Science [cs]ComputingMilieux_MISCELLANEOUS[INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]
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Measuring Movie Script Similarity using Characters, Keywords, Locations, and Interactions

2023

Measuring similarity between multilayer networks is difficult, as it involves various layers and relationships that are challenging to capture using distance measures. Existing techniques have focused on comparing layers with the same number of nodes and ignoring interrelationships. In this research, we propose a new approach for measuring the similarity between multilayer networks while considering interrelationships and networks of various sizes. We apply this approach to multilayer movie networks composed of layers of different entities (character, keyword, and location) and interrelationships between them. The proposed method captures intra-layer and inter-layer relationships, providing…

[INFO] Computer Science [cs]
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Graphes multicouches pour mesurer la similarité entre des films

2022

Un système de recommandation des films propose à ses utilisateurs un ensemble de films similaires à leurs séries préférées, en se basant sur le principe de filtration, par exemple la filtration de leurs données personnelles. Ces dernières années, les réseaux sociaux sont devenus de plus en plus utilisés pour représenter et analyser des histoires de films[1][2][3]. Une étude [6] s'est appuyée sur les réseaux sociaux pour classifier les films par genre. D'autres études [4][5] ont utilisé les réseaux sociaux pour analyser des films à partir des rôles des personnages. A notre connaissance, il n'existe pas une technique qui permet de trouver la similarité entre deux films en calculant la distanc…

[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO] Computer Science [cs]
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