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IJCV
2007
196views more  IJCV 2007»
13 years 9 months ago
Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition
We investigate a method for learning object categories in a weakly supervised manner. Given a set of images known to contain the target category from a similar viewpoint, learning...
Robert Fergus, Pietro Perona, Andrew Zisserman
MM
2005
ACM
181views Multimedia» more  MM 2005»
14 years 3 months ago
Tracking news stories across different sources
Information linkage is becoming more and more important in this digital age. In this paper, we propose a concept tracking method, which links the news stories with the same topic ...
Yun Zhai, Mubarak Shah
EMMCVPR
2007
Springer
14 years 3 months ago
Compositional Object Recognition, Segmentation, and Tracking in Video
Abstract. The complexity of visual representations is substantially limited by the compositional nature of our visual world which, therefore, renders learning structured object mod...
Björn Ommer, Joachim M. Buhmann
CIVR
2007
Springer
247views Image Analysis» more  CIVR 2007»
14 years 3 months ago
Near-duplicate keyframe retrieval with visual keywords and semantic context
Near-duplicate keyframes (NDK) play a unique role in large-scale video search, news topic detection and tracking. In this paper, we propose a novel NDK retrieval approach by explo...
Xiao Wu, Wanlei Zhao, Chong-Wah Ngo
CVPR
2009
IEEE
14 years 1 months ago
Shape-based object recognition in videos using 3D synthetic object models
In this paper we address the problem of recognizing moving objects in videos by utilizing synthetic 3D models. We use only the silhouette space of the synthetic models making thus...
Alexander Toshev, Ameesh Makadia, Kostas Daniilidi...