Abstract
It is important to understand the stories from narrative multimedia contents (e.g., movies), and to exploit the stories for smart services (e.g., video summarization and personalized multimedia recommendation). In this paper, we extend CharNet (Character Network) to Affective CharNet (Affective Character Network) by annotating emotional relationships between characters. More importantly, we propose a novel method on analyzing Affective CharNet for extracting the plots from the narrative multimedia contents.
| Original language | English |
|---|---|
| Journal | CEUR Workshop Proceedings |
| Volume | 1794 |
| State | Published - 2016 |
| Event | 2016 Workshop on Affective Computing and Context Awareness in Ambient Intelligence, AfCAI 2016 - Murcia, Spain Duration: 24 Nov 2016 → 25 Nov 2016 |
Bibliographical note
Funding Information:This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (NRF-2014R1A2A2A05007154). Also, this work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2015S1A5B6037297).
Publisher Copyright:
© 2016, CEUR-WS. All rights reserved.
Keywords
- Affective computing
- Character network
- Emotional social network
- Narrative analysis
- Social network analysis