[Graphics-net] FW: [EETN] FW: CALL FOR PAPERS --Fourth International Cognitive VisionWorkshop (ICVW 2008)

[Αθανάσιος Τσακαλίδης]

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Subject: [EETN] FW: CALL FOR PAPERS --Fourth International Cognitive
VisionWorkshop (ICVW 2008)


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CALL FOR PAPERS --Fourth International Cognitive Vision Workshop (ICVW 2008)
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Santorini, Greece, May 12 2007
http://icvs2008.info/Workshops.htm

Held in conjunction with the International Conference on Vision Systems
(ICVS 2008), Santorini, Greece, May 12-15 2007 http://icvs2008.info/

Organizers
---------------

Barbara Caputo, IDIAP Research Institute, Martigny, Switzerland Markus
Vinkze, Automation and Control Institute, Vienna University of Technology,
Austria

Important Dates
----------------------

Full Paper Submission:          January 25, 2007
Acceptance Notification:        February 28, 2007
Camera-ready Copy:              March 25, 2007
Workshop day:                   May 12, 2007

Workshop Description
------------------------------

Basic visual operations such as categorization and complex tasks such as
scene interpretation are major challenges for computational vision. At least
some of these issues call for integration of methods into systems. 
Traditionally vision has been studied using a reductionistic approach. 
Given the complexity of cognitive tasks, however, it is not obvious that
this strategy is the most efficient to address the core problems. Issues
such as multi-cue integration, embodied categorization, and behavior / skill
acquisition can only be studied in the context of systems. Recent progress
in studies of categorization, statistical learning theory, active
perception, software engineering and computational neuroscience is paving
the way for improved understanding of cognitive functionalities in
artificial systems.

This workshop will focus on discussion of components methods such as:

- Memory: The coupling between visual perception, tasks, knowledge and the
visual system requires memory. Issues that are of special importance for
integrating memory into vision systems include: how to manage
representations in presence of limited resources; model for attention;
integration of information across representations and time.

- Learning and Adaptation: A system whose goal is that of interacting with
the real world must be capable of learning from experience and adapt to
unexpected changes. Also, there is a need for integration of multiple visual
features to enable generation of stable hypotheses, and for methods for
combination of cues in the presence of uncertainty.

-  Categorization: Research has in particular focused on recall of specific
object instances, events and actions. Whereas recently some progress has
been achieved on systems that allow limited recognition of object classes,
events and scenes across visual appearance, new methods are needed to enable
abstractions and effective categorization across variations in color,
surface markings, geometry, temporal scenes, context and tasks.

-  Integration: Vision is often considered in isolation. When considered in
the context of an embodied system the concept of an ''active visual
observer''  becomes important. The visual system operates here as a task
oriented perception module that generates a diverse set of visual
descriptions about the environment. The set of descriptors is by no means
organized in a hierarchy. Depending on the task at hand the system might
generate features to the ''agent'' in terms of events, labels, and/or
spatio-temporal models (geometry, trajectories, relations, etc). 
Thus, integration plays an important role from processing of visual cues and
multi-modal sensor fusion to systems architecture.


Authors Instructions
---------------------------

Papers will be double blind reviewed by 3 reviewers. Accepted papers will be
published in conference post-proceedings by Springer in "Lecture Notes in
Computer Science" (LNCS, waiting for final confirmation). The layout of the
papers must be prepared according to the  Instructions for the Preparation
of Camera-Ready Contribution to LNCS Proceedings. Papers must not exceed 14
pages in the LNCS format.


--
Dr. Barbara Caputo, Senior Researcher

IDIAP Research Institute
Centre du Parc
P. O. Box 592
Av. des Pres-Beudin 20
CH- 1920 Martigny
Switzerland

tel: +41 277 217 737
fax: +41 277 217 712
url: http://people.idiap.ch/caputo
email: bcaputo at idiap.ch

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