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CVPR
2009
IEEE
1695views Computer Vision» more  CVPR 2009»
16 years 10 months ago
Geometric min-Hashing: Finding a (Thick) Needle in a Haystack
We propose a novel hashing scheme for image retrieval, clustering and automatic object discovery. Unlike commonly used bag-of-words approaches, the spatial extent of image featu...
Ondrej Chum (Czech Technical University), Michal P...
CVPR
2009
IEEE
16 years 10 months ago
Learning sign language by watching TV (using weakly aligned subtitles)
The goal of this work is to automatically learn a large number of British Sign Language (BSL) signs from TV broadcasts. We achieve this by using the supervisory information avai...
Patrick Buehler (University of Oxford), Mark Everi...
CVPR
2009
IEEE
3248views Computer Vision» more  CVPR 2009»
16 years 10 months ago
Single Image Haze Removal Using Dark Channel Prior
In this paper, we propose a simple but effective image prior - dark channel prior to remove haze from a single input image. The dark channel prior is a kind of statistics of the...
Kaiming He (The Chinese University of Hong Kong), ...
CVPR
2009
IEEE
16 years 10 months ago
Pose Search: retrieving people using their pose
We describe a method for retrieving shots containing a particular 2D human pose from unconstrained movie and TV videos. The method involves first localizing the spatial layout o...
Andrew Zisserman, Manuel J. Marín-Jim&eacut...
CVPR
2009
IEEE
16 years 10 months ago
Understanding Videos, Constructing Plots - Learning a Visually Grounded Storyline Model from Annotated Videos
Analyzing videos of human activities involves not only recognizing actions (typically based on their appearances), but also determining the story/plot of the video. The storyline...
Abhinav Gupta (University of Maryland), Praveen Sr...