[Comp-neuro] workshop announcement

Reinoud Maex reinoud at tnb.ua.ac.be
Mon Feb 6 16:38:41 CET 2006

From: Radu Horaud <Radu.Horaud at inrialpes.fr>
Date: February 6, 2006 11:15:21 AM GMT+01:00
To: comp-neuro-owner at neuroinf.org
Subject: workshop announcement

I think that this announcement is of interest for you:

Last call for papers for the Workhop on the Representation and Use of  
Prior Knowledge in Vision
workshop's website: http://perception.inrialpes.fr/wrupkv/
Extended deadline for abstract/paper submissions: Feb 14 / Feb 16
We invite you to participate to the international workshop on the  
representation and use of prior knowledge in vision (WRUPKV) which  
will be held on Saturday, May 13, 2006 in Graz, Austria, in  
conjuction with the ninth European conference on computer vision  
(ECCV 2006).

It is planned to publish the accepted papers as post-proceedings in  
Springer LNCS.

For the last decades, computer vision has developed theories for a  
variety of visual processes. This has been done along the idea that  
the visual perception problem can be solved within the framework of  
the information-processing theory: first by analyzing what  
information should be extracted from images and videos, then building  
a mathematical model of how this information can be computed, and  
followed by the design of computational models with their associated  

In general, these approaches proceed bottom-up, in the sense that  
they attempt to map images and videos onto more abstract  
descriptions. Interesting enough, while this is consistent with  
neurophysiolgical findings that the visual field is mapped onto the  
visual areas in the cortex, it fails to take into account the fact  
that there is massive feedback between these cortical areas and that  
visual information travels both forward and backwards.

Therefore and in spite of tremendous successes, the question of which  
prior knowledge the visual processes -- whether computational or  
biological -- should use, has remained unanswered. How prior  
knowledge is represented and how is it used within a top-down flow of  
information? How top-down and bottom-up processes interact and how do  
they influence each other?

The workshop's chairs and programme committee members believe that  
the following topics should be addressed in order to contribute to  
the advancement of the state of the art in both computer vision and  
the computational modelling of biological vision:

2-D and 3-D shape representation and recognition,
Figure-ground segmentation,
Object recognition,
Image and/or scene recognition,
Motion segmentation and action/gesture recognition,
Attentional mechanisms, and
Visual exploration
These topics could be addressed within one (or several) of the  
following methodological paradigms:

Bayesian inference,
Bayesian decision theory,
Hidden Markov models,
Belief propagation,
Spectral-graph theory and spectral clustering,
Graph partitioning, and
Graph matching
Each submitted paper will go through a double-blind review by three  
programme committee members. Accepted papers will be published both as:

CD-Rom proceedings, as well as a
Springer LNCS post-proceedings publication.

INRIA Rhone-Alpes
655, ave de l'Europe
38330 Montbonnot FRANCE
work: +33 (0)4 76 61 52 26
fax: +33 (0)4 76 61 54 54
mobile: +33 (0)6 74 41 81 39
secretary: Anne Pasteur +33 (0)4 76 61 54 47

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