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» UC3M High Level Feature Extraction at TRECVID 2008
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TRECVID
2008
13 years 9 months ago
Glasgow University at TRECVID 2008
In this paper we describe our experiments in the automatic and interactive search tasks of TRECVID 2008. We submitted six runs, five of them are automatic and one is interactive. ...
P. Punitha, Thierry Urruty, Yue Feng, Martin Halve...
TRECVID
2007
13 years 9 months ago
Eurecom at TRECVid 2007: Extraction of High-level Features
In this paper we describe our experiments for the high level features extraction task of TRECVid 2007. Our approach is different than previous submissions in that we have impleme...
Rachid Benmokhtar, Eric Galmar, Benoit Huet
TRECVID
2007
13 years 9 months ago
The NTU Toolkit and Framework for High-Level Feature Detection at TRECVID 2007
In TRECVID 2007 high-level feature (HLF) detection, we extend the well-known LIBSVM and develop a toolkit specifically for HLF detection. The package shortens the learning time an...
Ming-Fang Weng, Chun-Kang Chen, Yi-Hsuan Yang, Ron...
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...
ICPR
2010
IEEE
13 years 8 months ago
High-Level Feature Extraction Using SIFT GMMs and Audio Models
—We propose a statistical framework for high-level feature extraction that uses SIFT Gaussian mixture models (GMMs) and audio models. SIFT features were extracted from all the im...
Nakamasa Inoue, Tatsuhiko Saito, Koichi Shinoda, S...