VISION-LIST digest 26.6

VISION-LIST Digest Mon Jun 18 18:55:57 PST 2007 Volume 26 : Issue 6

- ***** The Vision List host is VISLIST.COM *****
- Send submissions to submission@xxxxxxxxxxx
('VLS' MUST APPEAR IN THE SUBJECT or your submission will not be processed)
- Vision List Digest and Archives available at http://WWW.VISLIST.COM
- If you don't have access to a web browser, you can read the
Vislist from the newsgroup comp.ai.vision or send email to
moderator@xxxxxxxxxxx to request mailing list membership
('VLS' MUST APPEAR IN THE SUBJECT or your submission will not be processed)
- Access Vision List Archives via anonymous ftp to ftp://FTP.VISLIST.COM
- Vision List supported by Directed Perception (http://www.DPerception.com)

Today's Topics:

JOB : CV Positions - SET Corp - Arlington, VA
JOB : Postdoctoral Fellow - Univ Rey Juan Carlos - Madrid, Spain
JOB : Predoc - Pompeu Fabra Univ - Barcelona, Spain
JOB : CV Positions - Pompeu Fabra Univ - Barcelona, Spain
CFP : IJPRAI Special Issue on Facial IPA - 1DEC07
CFP : *** Special issue - 1OCT07
CFP : ImageCLEF WS - Budapest, Hungary - 31JUL07

----------------------------------------------------------------------

From: "Lisa Denny" <ldenny@xxxxxxxxxxxx>
Subject: JOB : CV Positions - SET Corp - Arlington, VA

Computer Vision Scientist

Job Description

The successful candidate will join an outstanding computer vision and sensor
exploitation R&D group as a principal investigator on one or more projects
involving applications of computer vision. Develop novel concepts, design
algorithms, design systems and rapidly prototype software in the field of
computer vision. Applications of interest include video processing, aerial
video exploitation, hyperspectral and LIDAR image interpretation,
photogrammetry, and mobile robotics. The successful candidate will be
capable of performing original research, leading a small team of researchers
and engineers, and winning new business from commercial and government
clients.

Required Skills
* Ph.D. in Computer Science, Electrical Engineering, or related fields
with 5 or more years hands-on research in image or video understanding
* Experience performing and leading original research in computer
vision applications
* Current knowledge of research literature with a history of
publication in the field
* In-depth understanding of the latest computer vision research
* Exceptional written and oral communication skills

This position requires an active United States security clearance or
eligible candidates must be eligible to receive a US clearance. If
interested, forward your resume and salary requirements to: Recruiter, SET
Corporation, 1005 North Glebe Road, 4th Floor, Arlington, VA 22201, telefax
(703) 738-6201 or email to: ldenny@xxxxxxxxxxx

About SET Corporation

SET is a privately owned business founded by scientists from the Defense
Advanced Research Projects Agency. We research, develop, and commercialize
multisensor information processing technologies for customers with
challenging security needs. We provide engineering and operations services
to U.S. Government customers with advanced research and development
missions. Headquartered in Arlington, VA, with offices in Greenbelt, MD, and
Dayton, OH, we serve a diverse base of defense, homeland security, and
intelligence community clientele.

Job Location
Arlington, VA, or Greenbelt, MD

Position Type
Full-Time/Regular
Tracking Code
R-9CVS

Computer Vision Software Engineer

Job Description
SET Corporation is actively seeking qualified candidates in the development
and implementation of video processing algorithms for interpreting video
from unmanned air vehicles. This work will include hands-on design,
development, experimentation, and testing of real-time exploitation
algorithms with UAVs in the laboratory and in flight. Algorithms for human
and object detection, tracking, classification, and geolocation will be
integrated with SET's Ground Exploitation Station. User interface
design/development, software optimization, and real-time systems development
will be pursued in a team-oriented environment.

Required Skills

* M.S. in Computer Science/Engineering with solid mathematical
background and 4 or more years hands-on experience building computer vision
systems
* Experience designing and developing systems that employ video
processing algorithms
* Experience in software engineering and product building using
object-oriented design principles in C++ and/or Java. Very strong software
skills required.
* Solid written and oral communication skills

This position requires an active United States security clearance or
eligible candidates must be eligible to receive a US clearance. If
interested, forward your resume and salary requirements to: Recruiter, SET
Corporation, 1005 North Glebe Road, 4th Floor, Arlington, VA 22201, telefax
(703) 738-6201 or email to: ldenny@xxxxxxxxxxx

About SET Corporation

SET is a privately owned business founded by scientists from the Defense
Advanced Research Projects Agency. We research, develop, and commercialize
multisensor information processing technologies for customers with
challenging security needs. We provide engineering and operations services
to U.S. Government customers with advanced research and development
missions. Headquartered in Arlington, VA, with offices in Greenbelt, MD, and
Dayton, OH, we serve a diverse base of defense, homeland security, and
intelligence community clientele.

Job Location
Arlington, VA

Position Type
Full-Time/Regular

Tracking Code
R-10CVE

------------------------------

From: "Enrique Cabello Pardos" <enrique.cabello@xxxxxxx>
Subject: JOB : Postdoctoral Fellow - Univ Rey Juan Carlos - Madrid, Spain

FRAV research group ( http://www.frav.es ) at the University Rey Juan
Carlos (Madrid, Spain), is looking for a post-doctoral fellow in the
field of computer vision.

The project involves the automated detection of human hands in the
steering wheel of a car in order to detect abnormal driver behaviour.
The research is conducted in direct cooperation with a car simulator in
which the system has to be tested before a real test will be done.

PhD or similar experience in computer vision is required. You will
have the ability to innovate and robustly solve real-world computer
vision problems.

Experience of some of the following would be a distinct advantage
. statistical or mathematical modelling of shape
. statistical or mathematical modelling of image intensity
. non-linear image registration
. automatic image segmentation
. 3D image analysis
. commercial environment
. advanced C++

Fellow is funded by a project of the Spanish Ministry of Education with
a duration of 1 + 1 year. Position will start in January, 2008. CVs will
be considered to mid-October. Salary: From 25,000 to 35,000 (European
Euros) depending on candidate experience. Candidates need a solid grasp
of the English language to competently communicate with the research
team and publish research results. Spanish is not required but it will
be considered.

For additional information and/or to submit a CV, email Prof. Enrique
Cabello directly ( mailto:enrique.cabello@xxxxxxx ) please, provide
email contact information for at least two references.

University Rey Juan Carlos is a public funded University
( http://www.urjc.es ) The FRAV research group is part of the Computer
Architecture Department ( http://dac.escet.urjc.es/ ).

------------------------------

From: "Alejandro Frangi" <alejandro.frangi@xxxxxxx>
Subject: JOB : Predoc - Pompeu Fabra Univ - Barcelona, Spain

Open pre-doctoral positions in computational imaging and modelling
Computational Imaging and Simulation Lab - Pompeu Fabra University -
Barcelona - Spain

The Computational Imaging Lab (http://www.cilab.upf.edu ) at the Pompeu Fabra
University in Barcelona is team focused on algorithmic and applied
research in the area of computer vision and computational modelling. The
lab is composed of 25 members working in different domains of medical
image segmentation, statistical shape modelling and analysis,
computational geometry, pattern recognition and image-based and
personalised computational mechanics.

Currently, the lab is engaged in several exciting projects aiming at
personalised physical modelling and simulation of organs where medical
imaging, computational mechanics and biology play an essential role. Our
aim is to use medical imaging technologies with a combination of
computational imaging, modelling and simulation tools to develop
personalised tools for risk assessment and personalised treatment
design. In addition, by collaborating with several teams around Europe
and the US, our goal is to integrate all available information of a
patient to personalised diagnosis and treatment. In this context, the
lab has been recently awarded and coordinates an Integrated Project
funded by the European Commission as well as a Strategic National
Consortium for Technological Innovation, which aim at personalized and
integrative biomedical informatics in the cardiovascular system.

The CILab is seeking proactive and highly talented young pre-doctoral
researchers with proven track record of scientific motivation.
Candidates should be highly creative, have the ability to carry out
independent research but work embedded in a research team, and should be
endowed with excellent communication skills so as to collaborate with
other peers. The ability to work in a multidisciplinary team and be able
to interact with other disciplines is essential.

All applicants should have a strong background in mathematics and
physics, algorithmics and programming [preferably in C++]. Proficiency
in spoken and written English is compulsory.

Candidates with expertise in the following areas are sought:
1/ computational imaging: elastic multimodal image registration,
3D-2D image registration, model-based image segmentation, 3D vision and
reconstruction from projections, computational geometry, information
theoretic approaches to computer vision
2/ computational modelling and simulation: electromechanical cardiac
modelling, computational fluid dynamics, computational biology, biophysics,
grid computing and numerical computing, multi-scale and multi-formalism
modelling.

Starting dates will be prior to October 2007; positions will be for a
period of 3 to 4 years. Interested candidates should submit a letter of
purpose indicating your area of interest, CV including contact details
of 3 referees, and, when available, sample publications to Dr. Alejandro
Frangi mailto:alejandro.frangi@xxxxxxx , at your earliest convenience.

------------------------------

From: Aureli Soria Frisch <aureli.soria@xxxxxxx>
Subject: JOB : CV Positions - Pompeu Fabra Univ - Barcelona, Spain

Computer Vision Positions in Barcelona

The Barcelona Media Foundation and the Image Processing Group (
http://www.barcelonamedia.org/ ) at the Department of Information and
Communication Technologies at the Pompeu Fabra University (Barcelona,
Spain) ( http://www.iua.upf.es/recerca/image_processing/im_proc_c.htm )
are offering several PhD or post-doctoral positions within the I3Media
enit Project ( http://www.i3media.org:8080/i3mediaplone ), which
constitute an excellent opportunity for original research both on
applied and scientific computing in the application field of content
technologies for new media.

The positions are offered for a period of 3-4 years and are addressed to
PhD students or post-docs with interest or expertise in the following
areas:
* 3D vision, the geometry of multi-camera systems, stereo imaging, the
computational methods in this area,
* Interpolation methods for view synthesis, image based rendering and
computer graphic techniques in image interpolation,
* Video segmentation and tracking, video inpainting,
* Object/face detection/recognition on video sequences based on machine
learning/computational intelligence.

Applicants are expected to have a degree in any relevant discipline
(Computer Science, Mathematics, Electrical Engineering, Physics), and
proficient programming experience (C/C++/Matlab or Python). Interested
people should contact:
Marcelo Bertalmio ( mailto:marcelo.bertalmio@xxxxxxx ),
Vicent Caselles ( mailto:vicent.caselles@xxxxxxx ), and/or
Aureli Soria ( mailto:aureli.soria@xxxxxxx ) sending them the CV and a
motivation letter with an expression of their area of interest.

------------------------------

From: Mislav Grgic <mislav.grgic@xxxxxxxxx>
Subject: CFP : IJPRAI Special Issue on Facial IPA - 1DEC07

International Journal of Pattern Recognition
and Artificial Intelligence

Special Issue on
Facial Image Processing and Analysis

CALL FOR PAPERS

http://www.face-rec.org/ijprai/

International Journal of Pattern Recognition and Artificial Intelligence
(IJPRAI) is seeking original and unpublished manuscripts for a Special
Issue on Facial Image Processing and Analysis, scheduled for publication
in 1st Quarter 2009.

Face recognition systems are progressively becoming popular as means of
extracting biometric information. Face recognition has a critical role
in biometric systems and is attractive for numerous applications
including visual surveillance and security. Because of the general
public acceptance of face images on various documents, face recognition
has a great potential to become the next generation biometric technology
of choice. Face images are also the only biometric information available
in some legacy databases and international terrorist watch-lists and can
be acquired even without subjects' cooperation.

Though there has been a great deal of progress in face detection and
recognition in the last few years, many problems remain unsolved.
Research on face detection must confront with many challenging problems,
especially when dealing with outdoor illumination, pose variation with
large rotation angles, low image quality, low resolution, occlusion, and
background changes in complex real-life scenes. The design of face
recognition algorithms that are effective over a wide range of
viewpoints, complex outdoor lighting, occlusions, facial expressions,
and aging of subjects, is still a major area of research. Before one
claims that the facial image processing / analysis system is reliable,
rigorous testing and verification on real-world datasets must be
performed, including databases for face analysis and tracking in digital
video. 3D head model assisted recognition is another research area where
new solutions are urgently needed to enhance robustness of today's
recognition systems and enable real-time, face-oriented processing and
analysis of visual data. Thus, vigorous research is needed to solve such
outstanding challenging problems and propose advanced solutions and
systems for emerging applications of facial image processing and
analysis.

This special issue is particularly interested in recent progress in face
detection and recognition that explores emerging themes such as digital
video, 3D, near infrared, occlusion and disguise, long-term aging,
and/or the lack of sufficient training data. Submitted articles must not
have been previously published and must not be currently submitted for
publication elsewhere. Topics of interest include, but are not limited
to, the following:

New sensors or data sources:
o 3D-based face recognition
o Near infrared imaging for face recognition
o Video-based face recognition

Preprocessing:
o Image preprocessing for face detection / recognition
o Color-based facial image processing and analysis
o De-blurring and super-resolution for robust face
detection / recognition

Face and feature detection:
o Face detection for best-shot selection
o Facial feature detection and extraction
o 3D head modeling and face tracking

Methods:
o Subspace / kernel methods for face recognition
o Non-linear methods for face modeling
o Bionic face representation
o Ensemble learning for face classification

Key problems:
o Outdoor illumination
o Large pose variations
o Mid-term and long-term aging
o Occlusion and disguise
o Low quality and low resolution
o Generalization problem due to lack
of enough training examples

Dataset and evaluation:
o Challenging datasets
o Video-based datasets
o Statistical performance evaluation

Applications and other topics:
o Facial gesture recognition
o Real-time processing solutions and systems
o Face-based surveillance, biometrics,
and multimedia applications
o Face recognition in compressed domain

SUBMISSION PROCEDURE:

Manuscript should conform to the standard guidelines of the
International Journal of Pattern Recognition and Artificial
Intelligence. Instructions for formatting papers can be found in the
Guidelines for Contributors at
http://www.worldscinet.com/ijprai/mkt/guidelines.shtml Prospective
authors should submit an electronic copy of their complete manuscript
via IJPRAI online submission system (
http://www.editorialmanager.com/ijprai/ ) by December 1, 2007. "Facial
Image Processing and Analysis" special issue should be indicated in the
corresponding cover letter. All submitted papers will be reviewed by at
least three independent reviewers.

IMPORTANT DATES:

Manuscript submission deadline: December 1, 2007
First notification: March 15, 2008
Revised manuscript submission: June 30, 2008
Notification of final decision: September 15, 2008
Final manuscript due: November 1, 2008
Publication of the special issue: 1st Quarter 2009

GUEST EDITORS:

Mislav Grgic
University of Zagreb, Zagreb, Croatia
http://www.vcl.fer.hr/mgrgic

Shiguang Shan
Chinese Academy of Sciences, Beijing, China
http://www.jdl.ac.cn/user/sgshan/index_en.htm

Rastislav Lukac
Epson Canada Ltd., Toronto, ON, Canada
http://www.colorimageprocessing.com

Harry Wechsler
George Mason University, Fairfax, VA, USA
http://cs.gmu.edu/~wechsler

Marian Stewart Bartlett
University of California atSan Diego, La Jolla, CA, USA
http://mplab.ucsd.edu/~marni

------------------------------

From: wiamis2007-publicity@xxxxxx
Subject: CFP : *** Special issue - 1OCT07

Call for Papers
Signal Processing: Image Communication
Special issue on:

"Semantic Analysis for Interactive Multimedia Services" The demand for
efficient methods for extracting knowledge from multimedia content has
led to a growing research community and a number of European, national
and industrial projects in this area. Technologies for retrieving
semantic information from multimedia content potential enable new
applications and services for both commercial and personal end users.
The aim of this special issue is to provide an overview of current
research in the area of semantic analysis for multimedia applications
including both theory and application oriented papers.

Topics of interest include, but are not limited to:
Multimedia content analysis and understanding
Content-based browsing, indexing and retrieval of images, video and
audio
Analysis for coding efficiency and increased error resilience
Analysis and understanding tools for personalization and content
adaptation
Analysis and social content applications
Content summarization and personalization strategies
Semantic mapping and ontologies
Identification and tracking of semantic regions in scenes
Multimedia analysis for advanced applications
Important Dates:
Submission of papers: 1 October 2007
Submission of final accepted papers: 14 March 2008
Publication of special issue: May 2008

Submissions:

All the papers should be full journal length versions and follow the
guidelines set out by Signal Processing: Image Communication
http://www.elsevier.com/wps/find/journaldescription.cws_home/505651/authorinstructions
Submissions should be sent by email to Yiannis Kompatsiaris ( mailto:ikom@xxxxxx )
no later than October 1, 2007.

Guest editors:
Yiannis Kompatsiaris, Informatics and Telematics Institute
Yannis Avrithis, National Technical University of Athens, Greece
Noel O'Connor, Centre for Digital Video Processing, Dublin City
University, Ireland
Milind R. Naphade, IBM T J Watson Research Center, USA

------------------------------

From: henning.mueller@xxxxxxxxxxxx
Subject: CFP : ImageCLEF WS - Budapest, Hungary - 31JUL07

CALL FOR PAPERS

Third MUSCLE/ ImageCLEF Workshop on Image and Video Retrieval Evaluation

Date: 18th of September 2007.

Location: Hungarian Academy of Sciences, Budapest, Hungary (more
detailed instructions later)

Invited Speakers:
* Marcel Worring, University of Amsterdam (Netherlands)
(Chair of the IAPR TC12)
* Thijs Westerveld, CWI (Netherlands)
(Co-organiser of the XML Multimedia Track at INEX)

Website: http://muscle.prip.tuwien.ac.at/ws_overview_2007.php

Workshop Chairs:
* Allan Hanbury (Vienna University of Technology)
* Henning Müller (University of Geneva)
* Paul Clough (University of Sheffield)


Discussion topics: The workshop is organised as a joint venture by the
ImageCLEF campaign and the MUSCLE EU Network of Excellence. The workshop
focuses on the following topics:
1. Evaluation Campaigns
2. Evaluation of Image Features
3. Datasets, topics and relevance judgement

Other contributions on topics in the scope of image and video retrieval
evaluation are also welcome.

Presentations: Participants are encouraged to present papers on topics
related to the evaluation of video and image retrieval systems. Please
send titles and abstracts of papers you wish to present to Allan Hanbury
(mailto:hanbury@xxxxxxxxxxxxxxxxx). Proceedings of the workshop will be
published in electronic and paper form. Paper submission instructions
are available on the website. The deadline for paper submission is the
31st of July 2007.

Registration: If you wish to attend the workshop, please register by
sending an e-mail to Allan Hanbury (mailto:hanbury@xxxxxxxxxxxxxxxxx).
There is no registration fee due to sponsorship by the MUSCLE Network of
Excellence.

Sponsor: The workshop is sponsored by the MUSCLE Network of Excellence.

Related Events: The following events take place in Budapest at this time:
* CLEF workshop from the 19th to the 21st of September 2007
(i.e. from the day after this workshop).
* ECDL 2007 (European Conference on Digital Libraries)
from the 16th to the 21st of September 2007.

Allan, Henning, Paul

------------------------------

End of VISION-LIST digest 26.6
************************


.