21 search results - page 1 / 5 » Learning TRECVID'08 High-Level Features from YouTube |
TRECVID
2008
13 years 6 months ago
2008
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...
MM
2009
ACM
13 years 9 months ago
2009
ACM
While existing studies on YouTube’s massive user-generated video content have mostly focused on the analysis of videos, their characteristics, and network properties, little att...
ECCV
2010
Springer
13 years 10 months ago
2010
Springer
Abstract. In many cases, human actions can be identified not only by the singular observation of the human body in motion, but also properties of the surrounding scene and the rel...
ICCV
2011
IEEE
12 years 5 months ago
2011
IEEE
We present a hierarchical model that learns image decompositions via alternating layers of convolutional sparse coding and max pooling. When trained on natural images, the layers ...
CVPR
2005
IEEE
14 years 7 months ago
2005
IEEE
Kernel functions are often cited as a mechanism to encode prior knowledge of a learning task. But it can be difficult to capture prior knowledge effectively. For example, we know ...