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» Functional imaging and neuronal information processing
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ICIP
2005
IEEE
14 years 9 months ago
Variable module graphs: a framework for inference and learning in modular vision systems
We present a novel and intuitive framework for building modular vision systems for complex tasks such as surveillance applications. Inspired by graphical models, especially factor...
Amit Sethi, Mandar Rahurkar, Thomas S. Huang
ICIP
2003
IEEE
14 years 9 months ago
Object-based video compression scheme with optimal bit allocation among shape, motion and texture
In object-based video, the encoding of the video data is decoupled into the encoding of shape, motion and texture information, which enables certain functionalities like content-b...
Haohong Wang, Guido M. Schuster, Aggelos K. Katsag...
ICIP
2001
IEEE
14 years 9 months ago
A fully scalable 3D subband video codec
Multimedia transmissions over heterogeneous networks require a high degree of flexibility from video compression systems. They are expected to be fully scalable, that is to say to...
Béatrice Pesquet-Popescu, Boris Felts, Mari...
ICIP
1997
IEEE
14 years 9 months ago
Super-Resolution with Adaptive Regularization
Multi-channel super-resolution is a means of recovering high frequency information by trading off the temporal bandwidth. Almost all the methods proposed in the literature are bas...
Anne Lorette, Hassan Shekarforoush, Josiane Zerubi...
ICIP
2007
IEEE
14 years 2 months ago
Classification by Cheeger Constant Regularization
This paper develops a classification algorithm in the framework of spectral graph theory where the underlying manifold of a high dimensional data set is described by a graph. The...
Hsun-Hsien Chang, José M. F. Moura