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» Building Models of Animals from Video
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ICMCS
2008
IEEE
207views Multimedia» more  ICMCS 2008»
14 years 2 months ago
Structure learning in a Bayesian network-based video indexing framework
Several stochastic models provide an effective framework to identify the temporal structure of audiovisual data. Most of them need as input a first video structure, i.e. connecti...
Siwar Baghdadi, Guillaume Gravier, Claire-Hé...
CHI
2001
ACM
14 years 8 months ago
The impact of eye gaze on communication using humanoid avatars
In this paper we describe an experiment designed to investigate the importance of eye gaze in humanoid avatars representing people engaged in conversation. We compare responses to...
Maia Garau, Mel Slater, Simon Bee, Martina Angela ...
ICMCS
2005
IEEE
78views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Partial Linear Regression for Audio-Driven Talking Head Application
Virtual avatars in many applications are constructed manually or by a single speech-driven model which needs a lot of training data and long training time. It’s an essential pro...
Chao-Kuei Hsieh, Yung-Chang Chen
CA
1998
IEEE
14 years 5 days ago
Facial Deformations for MPEG-4
The new MPEG-4 standard, scheduled to become an International Standard in February 1999, will include support not only for natural video and audio, but also for synthetic graphics...
Marc Escher, Igor S. Pandzic, Nadia Magnenat-Thalm...
ICPR
2006
IEEE
14 years 9 months ago
Exploiting High Dimensional Video Features Using Layered Gaussian Mixture Models
Analysis of video data usually requires training classifiers in high dimensional feature spaces. This paper proposes a layered Gaussian mixture model (LGMM) to exploit high dimens...
Datong Chen, Jie Yang