0000000000186668
AUTHOR
Benjamin Renoust
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.
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…
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.
Multilayer Network Model of Movie Script
2018
Network models have been increasingly used in the past years to support summarization and analysis of narratives, such as famous TV series, books and news. Inspired by social network analysis, most of these models focus on the characters at play. The network model well captures all characters interactions, giving a broad picture of the narration’s content. A few works went beyond by introducing additional semantic elements, always captured in a single layer network. In contrast, we introduce in this work a multilayer network model to capture more elements of the narration of a movie from its script: people, locations, and other semantic elements. This model enables new measures and insights…
Multilayer Network Model of Movie Script
2018
Network models have been increasingly used in the past years to support summarization and analysis of narratives, such as famous TV series, books and news. Inspired by social network analysis, most of these models focus on the characters at play. The network model well captures all characters interactions, giving a broad picture of the narration's content. A few works went beyond by introducing additional semantic elements, always captured in a single layer network. In contrast, we introduce in this work a multilayer network model to capture more elements of the narration of a movie from its script: people, locations, and other semantic elements. This model enables new measures and insights…