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» To learn representativeness of video frames
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CVPR
2008
IEEE
15 years 6 months ago
3D face tracking and expression inference from a 2D sequence using manifold learning
We propose a person-dependent, manifold-based approach for modeling and tracking rigid and nonrigid 3D facial deformations from a monocular video sequence. The rigid and nonrigid ...
Wei-Kai Liao, Gérard G. Medioni
ISCAS
2005
IEEE
218views Hardware» more  ISCAS 2005»
15 years 5 months ago
Scalable multiview video coding using wavelet
—Most existing multiview video coding (MVC) techniques are based on the traditional hybrid DCT-based video coding schemes, e.g., MPEG-2, MPEG-4 and H.264. They neither fully expl...
Wenxian Yang, Feng Wu, Yan Lu, Jianfei Cai, King N...
CVPR
2008
IEEE
16 years 1 months ago
Simultaneous super-resolution and 3D video using graph-cuts
This paper presents a new method to increase the quality of 3D video, a new media developed to represent 3D objects in motion. This representation is obtained from multi-view reco...
Tony Tung, Shohei Nobuhara, Takashi Matsuyama
HUMO
2007
Springer
15 years 6 months ago
Semi-Latent Dirichlet Allocation: A Hierarchical Model for Human Action Recognition
We propose a new method for human action recognition from video sequences using latent topic models. Video sequences are represented by a novel “bag-of-words” representation, w...
Yang Wang 0003, Payam Sabzmeydani, Greg Mori
MVA
2008
125views Computer Vision» more  MVA 2008»
14 years 11 months ago
Pearson-based mixture model for color object tracking
To track objects in video sequences, many studies have been done to characterize the target with respect to its color distribution. Most often, the Gaussian Mixture Model (GMM) is ...
William Ketchantang, Stéphane Derrode, Lion...