DocumentCode
1528167
Title
Data-Driven Approaches to Community-Contributed Video Applications
Author
Wu, Xiao ; Ngo, Chong-Wah ; Zhao, Wan-Lei
Volume
17
Issue
4
fYear
2010
Firstpage
58
Lastpage
69
Abstract
In this article, we explore near-duplicate Web video detection, video annotation, and video classification using a data-driven framework, by exploiting different aspects derived from contextual and social resources.
Keywords
Web sites; data mining; social networking (online); video retrieval; community contributed video; data driven framework; near duplicate Web video detection; social resource; video annotation; video classification; Application software; Computer science; Data engineering; Large-scale systems; Machine learning; Management training; Support vector machine classification; Support vector machines; Video sharing; YouTube; Web video; annotation; categorization; data-driven; near-duplicate detection; social Web;
fLanguage
English
Journal_Title
MultiMedia, IEEE
Publisher
ieee
ISSN
1070-986X
Type
jour
DOI
10.1109/MMUL.2010.46
Filename
5499456
Link To Document