Social network analysis in a movie using character-net

Park, Seung-Bo; Oh, Kyeong-Jin; Jo, Geun-Sik

doi:10.1007/s11042-011-0725-1

Cited by 45 publications

(64 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, the researchers were not able to discover the main character (or protagonist) and the main storyline of the movie. Other methods have provided similar results using scripts or face recognition to discover co-occurrences of characters in a movie, but these methods also have some limitations as above [5]. On the other hand, our approach can be used for truncating by an average of 75% to provide the summarized version, as illustrated in Fig.…”

Section: Resultsmentioning

confidence: 98%

“…There is a limitation to this method due in that the image processing accuracy rate is not yet adequate, so it is not possible to reliably discover the main characters in the given movie. Character-net [5] consists of an approach that can be used to extract information from the social network by considering the dialogs among the characters in the movie. The dialog in the given movie contains the time, speaker and listener.…”

Section: Algorithm 2 Main Characters Summarizationmentioning

confidence: 99%

“…Other techniques that should be adopted include script mining, subtitle analysis, image processing or speech recognition. These methods can be used to discover whether a character appears in a scene based on text mining, face recognition, and speaker identified, as was previously performed in [5] and [6]. The movie script, subtitle analysis and annotations can be combined with the character appearance to discover and construct the characters network so that a more reasonable and efficient method can be developed in the future.…”

Section: Limitation and Extensionmentioning

confidence: 99%

“…In this regard, such concepts are considered to detect and recognize users' emotion (e.g. [5] and [6]). These approaches aim to help the user to extract a shortened version by removing unimportant or redundant content in the movie.…”

Section: Introductionmentioning

confidence: 99%

“…1 The archetypes of characters in Episode IV of the Star War series mally used movie/drama theory to analyze plotlines and to summarize a movie by focusing on the characters and the relationships among them. In addition, many effective methods have been proposed to explore the story of the movie using characters' co-appearances [6] and characters' dialogs [5].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Movie indexing and summarization using social network techniques

Do¹,

Tran²,

Tran

2018

Vietnam J Comput Sci

View full text Add to dashboard Cite

Movie summarization and indexing is the study which takes into account the understanding of the audiences. Besides, movie summarization focuses on reducing the length of a movie. Regarding this work, we propose a character network analysis to index and summarize the given movie. The method is based on the discovery and analysis of characters with respect to their appearance and the relationships among them in the movie. The strategy analysis is used to detect scenes, to segment the sub-plots of the story, and to extract character network and the main storyline of the movie. As a result, the social strength of each character in the social network is measured using measurement techniques that will then be used to mine the main plotline of the movie. In the final stage, the main storyline is used to provide a summarized version of the movie based on the social power of the characters. Experiments were carried out with 17 series of the Star Wars, the Lord of the Rings and the Harry Potter. The experimental evaluation results show that this study should index and extract summarization versions while keeping the understanding of the audiences.

show abstract

Section: Resultsmentioning

confidence: 98%

Section: Algorithm 2 Main Characters Summarizationmentioning

confidence: 99%

Section: Limitation and Extensionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Movie indexing and summarization using social network techniques

Do¹,

Tran²,

Tran

2018

Vietnam J Comput Sci

View full text Add to dashboard Cite

show abstract

Multilayer Network Model of Movie Script

Mourchid¹,

Renoust²,

Cherifi³

2018

Studies in Computational Intelligence

View full text Add to dashboard Cite

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 on movies. We demonstrate this model on two very popular movies.

show abstract

Movie Script Similarity Using Multilayer Network Portrait Divergence

Lafhel

Cherifi

Renoust

et al. 2020

Studies in Computational Intelligence

View full text Add to dashboard Cite

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.

show abstract

Social network analysis in a movie using character-net

Cited by 45 publications

References 21 publications

Movie indexing and summarization using social network techniques

Movie indexing and summarization using social network techniques

Multilayer Network Model of Movie Script

Movie Script Similarity Using Multilayer Network Portrait Divergence

Contact Info

Product

Resources

About