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» To learn representativeness of video frames
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137
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ICIP
2009
IEEE
15 years 1 months ago
Synthesis-in-the-loop for video texture coding
In this paper, we present an algorithm using dynamic texture synthesis for closed-loop video coding. Video textures, or so-called dynamic textures are video sequences with moving ...
Aleksandar Stojanovic, Mathias Wien, Thiow Keng Ta...
132
Voted
TOG
2010
114views more  TOG 2010»
14 years 10 months ago
MovieReshape: tracking and reshaping of humans in videos
We present a system for quick and easy manipulation of the body shape and proportions of a human actor in arbitrary video footage. The approach is based on a morphable model of 3D...
Arjun Jain, Thorsten Thormählen, Hans-Peter S...
146
Voted
CVPR
2010
IEEE
15 years 9 months ago
Learning 3D Action Models from a few 2D videos for View Invariant Action Recognition
Most existing approaches for learning action models work by extracting suitable low-level features and then training appropriate classifiers. Such approaches require large amount...
Pradeep Natarajan, Vivek Singh, Ram Nevatia
173
Voted
CVPR
2009
IEEE
16 years 10 months ago
Topology Dictionary with Markov Model for 3D Video Content-Based Skimming and Description
This paper presents a novel approach to skim and describe 3D videos. 3D video is an imaging technology which consists in a stream of 3D models in motion captured by a synchronized ...
Tony Tung (Kyoto University), Takashi Matsuyama (K...
108
Voted
ICPR
2006
IEEE
16 years 4 months ago
GMM-based SVM for face recognition
A new face recognition algorithm is presented. It supposes that a video sequence of a person is available both at enrollment and test time. During enrollment, a client Gaussian Mi...
Gérard Chollet, Hervé Bredin, Najim ...