Name
Abstract | ||
|---|---|---|
In this paper we propose a cloud-based video editing application designated to manage abundance of video using automatic video editing and summarization algorithms. Our approach uses text processing, statistic analysis and information retrieval techniques to analyze audio transcripts of video corpus. A model approach of mashup based on keywords is proposed. A video editing testbed has been designed and implemented. Finally the video editor engine is deployed on Openstack cloud computing platform which deliver a massively scalable cloud operating system. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-662-44791-8_14 | Communications in Computer and Information Science |
Keywords | Field | DocType |
Automatic video editing,Cloud computing,Mashups,Speech2text,Annotation,Reasoning,Collaboration,Web 2.0 | Automatic summarization,Mashup,Computer science,Knowledge management,Testbed,Video editing,Web 2.0,Multimedia,Scalability,Cloud computing,Text processing | Conference |
Volume | ISSN | Citations |
455 | 1865-0929 | 0 |
PageRank | References | Authors |
0.34 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Abdelkader Outtagarts | 1 | 20 | 6.12 |
| Sylvain Squedin | 2 | 8 | 1.77 |
| Olivier Martinot | 3 | 12 | 5.95 |