Name
Title | ||
|---|---|---|
Scene extraction system for video clips using attached comment interval and pointing region |
Abstract | ||
|---|---|---|
A method was developed to enable users of video sharing websites to easily retrieve video scenes relevant to their interests. The system analyzes both text and non-text aspects of a user's comment and then retrieves and displays relevant scenes along with attached comments. The text analysis works in tandem with non-text features, namely, the selected area and temporal duration associated with user comments. In this way, our system supports a better-organized retrieval of scenes that have been commented on with a higher degree of relevancy than conventional methods, such as using matching keywords. We describe our method and the relation between the scenes and discuss a prototype system. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/s11042-010-0531-1 | Multimedia Tools Appl. |
Keywords | Field | DocType |
Multimedia,Video sharing,Scene extraction,User comments,Selected area,Temporal duration | Computer vision,Computer science,Artificial intelligence,Video sharing,CLIPS | Journal |
Volume | Issue | ISSN |
54 | 1 | 1380-7501 |
Citations | PageRank | References |
2 | 0.37 | 21 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shoko Wakamiya | 1 | 208 | 19.15 |
| Daisuke Kitayama | 2 | 60 | 19.42 |
| Kazutoshi Sumiya | 3 | 550 | 84.30 |