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» Automatic video tagging using content redundancy
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TRECVID
2008
13 years 9 months ago
Learning TRECVID'08 High-Level Features from YouTube
Run No. Run ID Run Description infMAP (%) training on TV08 data 1 IUPR-TV-M SIFT visual words with maximum entropy 6.1 2 IUPR-TV-MF SIFT with maximum entropy, fused with color+tex...
Adrian Ulges, Christian Schulze, Markus Koch, Thom...
MM
2005
ACM
141views Multimedia» more  MM 2005»
14 years 1 months ago
SEVA: sensor-enhanced video annotation
In this paper, we study how a sensor-rich world can be exploited by digital recording devices such as cameras and camcorders to improve a user’s ability to search through a larg...
Xiaotao Liu, Mark D. Corner, Prashant J. Shenoy
ICMCS
2006
IEEE
115views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Evaluation of Self-Editing Based on Behaviors-for-Attention for Desktop Manipulation Videos
In this paper, we discuss a user interface issue with regard to automatic video editing based on the speaker’s intentions. In our experiments, the subjects used previously devel...
Motoyuki Ozeki, Yuichi Nakamura
CLEF
2008
Springer
13 years 9 months ago
DCU at VideoClef 2008
We describe a baseline system for the VideoCLEF Vid2RSS task. The system uses an unaltered off-the-shelf Information Retrieval system. ASR content is indexed using default stemmin...
Eamonn Newman, Gareth J. F. Jones
SPIEVIP
2010
13 years 10 months ago
Automatic scene activity modeling for improving object classification
In video surveillance, automatic methods for scene understanding and activity modeling can exploit the high redundancy of object trajectories observed over a long period of time. ...
Samuel Foucher, Marc Lalonde, Langis Gagnon