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» Combined visual attention model for video sequences
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ICIP
2008
IEEE
14 years 10 months ago
Spatiotemporal modeling and matching of video shots
In this paper, we propose a framework to model video sequences using spatiotemporal description of video shots. Spatiotemporal volumes are extracted thanks to an efficient segment...
Eric Galmar, Benoit Huet
SPEECH
1998
215views more  SPEECH 1998»
13 years 8 months ago
3D lip shapes from video: A combined physical-statistical model
Tracking human lips in video is an important but notoriously dicult task. To accurately recover their motions in 3D from any head pose is an even more challenging task, though s...
Sumit Basu, Nuria Oliver, Alex Pentland
ICCV
2005
IEEE
14 years 10 months ago
Identifying Individuals in Video by Combining "Generative" and Discriminative Head Models
The objective of this work is automatic detection and identification of individuals in unconstrained consumer video, given a minimal number of labelled faces as training data. Whi...
Mark Everingham, Andrew Zisserman
AMDO
2006
Springer
14 years 10 days ago
Combined Head, Lips, Eyebrows, and Eyelids Tracking Using Adaptive Appearance Models
The ability to detect and track human heads and faces in video sequences is useful in a great number of applications, such as human-computer interaction and gesture recognition. Re...
Fadi Dornaika, Javier Orozco, Jordi Gonzàle...
ICIP
2003
IEEE
14 years 10 months ago
Statistical modeling for facial expression analysis and synthesis
Facial expression interpretation, recognition and analysis is a key issue in visual communication and man to machine interaction. In this paper, we present a technique for extract...
Bouchra Abboud, Franck Davoine, M. Dang