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» To learn representativeness of video frames
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ICPR
2008
IEEE
16 years 1 months ago
Video attention: Learning to detect a salient object sequence
We study video attention by detecting a salient object sequence from video segment. We formulate salient object sequence detection as energy minimization problem in a conditional ...
Tie Liu, Nanning Zheng, Wei Ding, Zejian Yuan
ECCV
2010
Springer
16 years 11 days ago
Convolutional learning of spatio-temporal features
Abstract. We address the problem of learning good features for understanding video data. We introduce a model that learns latent representations of image sequences from pairs of su...
DAGM
2009
Springer
16 years 1 months ago
Active Structured Learning for High-Speed Object Detection
High-speed smooth and accurate visual tracking of objects in arbitrary, unstructured environments is essential for robotics and human motion analysis. However, building a system th...
Christoph H. Lampert, Jan Peters
211
Voted
PAMI
2011
14 years 10 months ago
Robust Object Tracking with Online Multiple Instance Learning
In this paper we address the problem of tracking an object in a video given its location in the first frame and no other information. Recently, a class of tracking techniques cal...
Boris Babenko, Ming-Hsuan Yang, Serge Belongie
AVBPA
2005
Springer
225views Biometrics» more  AVBPA 2005»
15 years 9 months ago
Video-Based Face Recognition Using Bayesian Inference Model
There has been a flurry of works on video sequence-based face recognition in recent years. One of the hard problems in this area is how to effectively combine the facial configu...
Wei Fan, Yunhong Wang, Tieniu Tan