Remembering Winter Was Coming: Character-Oriented Video Summaries of TV Series
Xavier Bost (LIA), Serigne Gueye (LIA), Vincent Labatut (LIA), Martha, Larson (DMIR), Georges Linar\`es (LIA), Damien Malinas (CNELIAS), Rapha\"el, Roth (CNELIAS)

TL;DR
This paper presents a method for automatically generating character-oriented video summaries of TV series by analyzing social networks and plot dynamics, helping viewers re-engage with complex storylines before new seasons.
Contribution
It introduces a novel algorithm combining social network analysis and filmmaking grammar to create character-focused summaries from partially annotated data.
Findings
Character-oriented summaries effectively re-engage viewers.
Modeling plot dynamics improves summary relevance.
Stylistic pattern analysis helps identify salient sequences.
Abstract
Today's popular TV series tend to develop continuous, complex plots spanning several seasons, but are often viewed in controlled and discontinuous conditions. Consequently, most viewers need to be re-immersed in the story before watching a new season. Although discussions with friends and family can help, we observe that most viewers make extensive use of summaries to re-engage with the plot. Automatic generation of video summaries of TV series' complex stories requires, first, modeling the dynamics of the plot and, second, extracting relevant sequences. In this paper, we tackle plot modeling by considering the social network of interactions between the characters involved in the narrative: substantial, durable changes in a major character's social environment suggest a new development relevant for the summary. Once identified, these major stages in each character's storyline can be…
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Taxonomy
TopicsVideo Analysis and Summarization · Multimedia Communication and Technology · Music and Audio Processing
