Name
Abstract | ||
|---|---|---|
Movie summarization focuses on providing as much information as possible for shorter movie clips while still keeping the content of the original movie and presenting a faster way for the audience to understand the movie. In this paper, we propose a novel method to summarize a movie based on character network analysis and the appearance of protagonist and main characters in the movie. Experiments were carried out for 2 movies (Titanic (1997) and Frozen (2013)) to show that our method outperforms conventional approaches in terms of the movie summarization rate. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/s11042-016-3633-6 | Multimedia Tools Appl. |
Keywords | Field | DocType |
Movie summarization,Movie analysis,Social network analysis,Video summarization,Movie character analysis | Automatic summarization,Computer science,Social network analysis,Network analysis,Multimedia | Journal |
Volume | Issue | ISSN |
76 | 8 | 1380-7501 |
Citations | PageRank | References |
8 | 0.52 | 23 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Quang Dung Tran | 1 | 21 | 7.18 |
| Dosam Hwang | 2 | 121 | 27.27 |
| O.-Joun Lee | 3 | 36 | 7.98 |
| Jai E. Jung | 4 | 145 | 10.91 |