21 search results - page 3 / 5 » Learning TRECVID'08 High-Level Features from YouTube |
WSDM
2010
ACM
14 years 3 months ago
2010
ACM
Social media sites (e.g., Flickr, YouTube, and Facebook) are a popular distribution outlet for users looking to share their experiences and interests on the Web. These sites host ...
TRECVID
2008
13 years 7 months ago
2008
This paper describes our participations of LIG and LIRIS to the TRECVID 2008 High Level Features detection task. We evaluated several fusion strategies and especially rank fusion....
ICRA
2005
IEEE
13 years 11 months ago
2005
IEEE
Abstract— Autonomous mobile agents require object recognition for high level interpretation and localization in complex scenes. In urban environments, recognition of buildings mi...
ISMIR
2004
Springer
13 years 11 months ago
2004
Springer
High-Level music descriptors are key ingredients for music information retrieval systems. Although there is a long tradition in extracting information from acoustic signals, the f...
TRECVID
2008
13 years 7 months ago
2008
This paper reports our experiments for TRECVID 2008 tasks: high level feature extraction, search and contentbased copy detection. For the high level feature extraction task, we use...