VISION-LIST digest 27.7

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Oct 16, 2008, 4:08:15 PM10/16/08
VISION-LIST Digest Thu Oct 16 13:06:07 PST 2008 Volume 27 : Issue 7

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Today's Topics:

Q&A : IAPR PR Resources web site
Q&A : Cone-beam CT reconstruction
JOB : Research Scientist - Siemens Corp Research - Princeton, NJ
JOB : Software Engineer - Microsoft Corporation - Redmond US
JOB : CV R&D Scientist - Utopia Compression -
JOB : Research Engineer - SCCH - Austria
JOB : PhD Fellowship - GE Healthcare/WR/Lawson/LHSC - ON, Canada
JOB : PhD or PostDoc position - Univ of Bonn - Germany
JOB : Rsearch Fellow - Univ of Leeds - UK
JOB : Post-doc - FBK - Trento, Italy
JOB : Postdoc position - CCNY - NY
JOB : PhD studentship - City University - London UK
JOB : PhD studentship - SudParis - France
JOB : Internships - Siemens Corporate Research - Princeton, NJ
CFP : ICCV 2009 - Kyoto, Japan - 10MAR2009
CFP : ICVS 2009 - Belgium - 04MAY2009
CFP : Int J of Imaging (IJI)
CFP : Special J issue on Video-based Gait Analysis - 01MAR2009
CFP : 10th Int'l WS IA for Multimedia - London, UK - 21NOV2008
CFP : VipIMAGE 2009 - Portugal - 15JAN2009
CFP : IICAI-09 Call for papers - India - 16DEC2009
CFP : Special Issue J Soft Computing - 20DEC2008
CFP : 3rd Int Conf Biometrcs - Italy - 01NOV2008
CFP : WS visual analysis of animal/ insect behavior - FL - 07DEC2008


From: Bob Fisher <>
Subject: Q&A : IAPR PR Resources web site

We have recently completed the first round of development
on the IAPR Pattern Recognition Education Resources web site:

This work was initiated by the Internation Association for
Pattern Recognition ( ).

The goal was a web site that can support students, researchers and
staff. Of course, advances in pattern recognition and its subfields
means that developing the site will be a never-ending process. However,
we believe that the current site is now well developed enough for
general use.

What resources does the IAPR Education web site have?

The most important resources are for students, researchers and educators.
These include lists with URLs to:
- Tutorials and surveys
- Explanatory text
- Online demos
- Datasets
- Book lists
- Free code
- Course notes
- Lecture slides
- Course reading lists
- Coursework/homework
- A list of course web pages at many universities

There are many areas for extension in the web pages, but they
already link to more than 3000 resources.

These resources are subdivided into five areas. Of course, the boundaries
are never distinct and we undoubtedly will also provoke a few
dissenting opinions. However, we have tried to address the main work done
by the IAPR community, as clustered into 3 core technology areas and 2 broad
families of application areas:
1. Symbolic Pattern Recognition
2. Statistical Pattern Recognition
3. Machine Learning
4. 1D Signal Analysis
5. Computer vision/Image Processing/Machine Vision


Initial website development was by Christos Papadopoulos and Apostolos
Antonacopoulos. Content entry was Edinburgh University PhD students
Kisuh Ahn, Edwin Bonilla, Lei Chen, Tim Hospedales, Gail Sinclair, and
Narayanan Unny E, supervised by Bob Fisher. Content advice supplied by
by the 2006-8 Education Committee: Bruce Maxwell, Sudeep Sarkar, Xiaoyi
Jiang, Laurent Heutte and Sergios Theodoridis. Funding was provided by
the EC funded euCognition network, The British Machine Vision
Association and the UK's EPSRC.

Prof. Robert B. Fisher, School of Informatics, Univ. of Edinburgh
1.26 Informatics Forum, 10 Crichton St, Edinburgh EH8 9AB, UK
+44-(131)-651-3441 (direct line), +44-(131)-651-3443 (secretary)
Fax: +44-(131)-650-6899 E-MAIL: r.b.fisher A@T


From: "MentorKim" <>
Subject: Q&A : Cone-beam CT reconstruction

I'm a graduate student studying Computer Vision.
I have recently researched about Cone-beam CT reconstruction.
I couldn't know what's a public method as that has various CT artifact
So, if you know the most public CT artifact methods used recently, could you
show me.
Or could you give a point?
Thank you for listening my words.

I wish I get the answer by e-mail. ( )

Youngshin Kim,
School of Information and Communication Engineering Sungkyunkwan University,


From: "Chen, Terrence (SCR US)" <>
Subject: JOB : Research Scientist - Siemens Corp Research - Princeton, NJ

Siemens Corporate Research, Inc., has immediate openings for Research
Scientists in the areas of computer vision and medical imaging, applied
machine learning, 3D/4D segmentation, tracking and information fusion,
pattern recognition, and graphical models.

You will have the opportunity to test your computer vision and machine
learning knowledge in a challenging problem-solving environment. You
will be encouraged to think out of the box, innovate and find solutions
to real-life problems. Our group has a strong publication record in
leading journals and conferences.

We will only consider candidates holding a Ph.D. in CS, EE or related
fields with a proven record in problem solving and research.

Candidates should have C/C++ proficiency on MS Windows platform.
Candidates need to demonstrate strong interpersonal skills, be able to
work independently on problems, be an effective team player and willing
to accept challenges and responsibility.

Siemens Corporate Research (SCR) is one of the world's premier research
labs for computer vision, medical imaging, and applied machine learning.
SCR is headquarted in Princeton, USA, and provides a stimulating
environment for highly talented and self-motivated researchers. SCR
excels in transferring academic research into innovative products, and
works in close collaboration with clinical partners. The lab has more
than 250 researchers and over 100 students involved in hundreds of
University, Clinical and Government collaborations. SCR is part of
Siemens Corporate Technology, a division comprising 2500+ research
scientists in Princeton, Berkeley, Erlangen, Munich, Berlin, Tokyo,
Beijing, Shanghai, Bangalore, St. Petersburg and Moscow.

Siemens is an Equal Opportunity Employer encouraging diversity in the

Please forward your resume to:


Subject: JOB : Software Engineer - Microsoft Corporation - Redmond US

Microsoft Corporation is seeking talented, passionate software engineers
to work on Multimedia related web applications. We are a fast-paced one-stop
R&D team and provide ample opportunities for strong engineers and researchers
having experiences in image/video processing, machine leaning, or data

Interested candidates please send resume to


From: "Hieu Nguyen" <>
Subject: JOB : CV R&D Scientist - Utopia Compression -

Computer Vision R&D Scientist


UtopiaCompression Corporation (UC) is a rapidly growing, High Tech
company with core competency in computational intelligence, developing
and marketing a range of intelligent technologies and products
including: content-based image/video compression and analysis; data
mining and knowledge discovery; 3D object/scene modeling; fusion and
visualization with a host of applications such as Geographic Information
Systems and medical imaging; and autonomous object avoidance and path

1. A Ph.D. in computer science, computer engineering, electrical
engineering, mathematics/statistics, or other related areas is desired,
although a strong candidate with an M.S. and significant research and
industry experience will also be considered.
2. The ideal candidate will be thoroughly versed in recent
research and methods in the areas of computer vision, pattern recognition,
machine learning and image/signal processing, with a proven track record.
3. Strong experience in one or more following areas: object
detection/recognition/tracking, activity recognition, image
segmentation, motion analysis, 3D scene reconstruction, Structure from motion,
GIS image analysis.
4. Fluent in software analysis, design, and development using C++,
C and MATLAB programming environment.
5. Candidates with industry and R&D experience in one or more
industries (especially military/defense, homeland security, security &
surveillance, medical imaging, media & entertainment or wireless) are
highly desirable.
6. US residents are strongly encouraged to apply.

1. Perform research, design, development, testing, and
prototyping of advanced computer vision algorithms.
2. Collaborate closely with other R&D scientists and engineers
in developing and implementing solutions efficiently.
3. Provide subject matter expertise: establishing in-depth
knowledge and suggesting directives for further progress on UC's computer
vision technologies.
4. Provide technical assistance and guidance: preparing
proposals, reports, and presentations for internal and external sources such
as government agencies and business partners.


Competitive compensation is offered for candidates fully meeting UC
requirements. UC offers excellent benefits which include medical,
dental, vision, stock option plan, accrued vacation time and a creative
team work environment.

Contact Information
Please send your resume and cover letter to:
Ms. Susan Weinstein
UCC website:


From: "Moser Bernhard" <>
Subject: JOB : Research Engineer - SCCH - Austria

Medical Imaging at SCCH - Research Engineer - Vacancy
Hagenberg/Upper Austria

We require a Research Scientist / Engineer (f/m) to join the team of the
Software Competence Center Hagenberg (Upper Austria) to work on advanced
image analysis for medical and biological applications.

SCCH is a competence center within the COMET program funded by the
Austrian Research Promotion Agency (FFG). SCCH established recently its
rapidly growing Biomedical Data Analysis Group (BDA).

BDA is focusing on the model-based analysis and estimation of motion and
shape variation in biological and medical images. Examples of
applications are the classification of chromosomes, the analysis of the
motion of the heart or of aortic stent-grafts. The group is cooperating
with companies, research institutes and clinical centers in Austria and

Preferably, the candidate should have the following attributes:
* A PhD/MSc in computer vision, computer science, mathematics or
similar fields
* Experience of image analysis, medical imaging, geometrical models
* Experience of getting algorithms to work on real world problems
* Experience of software development
* Good communication skills, motivated team player

Please contact , ++43 7236 3343 880.

Best regards,
Dr. Bernhard Moser
Area Manager Knowledge-Based Technologies
Software Competence Center Hagenberg GmbH
Softwarepark 21, A-4232 Hagenberg, Austria
UID: ATU 48056909 - FN: 184145b, Landesgericht Linz
Tel. +43 7236 3343-833
Fax +43 7236 3343-888


From: "Ben Ayed, Ismail (GE Healthcare)" <>
Subject: JOB : PhD Fellowship - GE Healthcare/WR/Lawson/LHSC - ON, Canada

PhD Fellowship-GE Healthcare/UWO/Robarts/LHSC
-Medical Image Analysis and Visualization

Two PhD fellowships are available in London, ON, Canada.

The successful candidates will register as PhD students of university of
western Ontario (UWO). They will conduct cutting-edge research with
leading researchers in the collaboration of GE Healthcare, Robarts, UWO
and London Health Science Center (LHSC) for medical image analysis and
visualization. They will gain opportunities to directly interact with
radiologists in for problem definition, development, and validation as


We will consider graduate students with degrees from CS, ECE, physics,
medical biophysics or an engineering discipline with an
inter-disciplinary background in some of the following areas: image
processing and visualization, computer aided diagnosis, computer vision,
pattern recognition, expert system, and machine learning with a proven
record in research, innovative thinking, real-world problem solving, and
fast prototyping.

For consideration, please send a cover letter and CV to: . Please put the following in the subject: "GE-London-PhD".


From: Sven Behnke <>
Subject: JOB : PhD or PostDoc position - Univ of Bonn - Germany

The Autonomous Intelligent Systems group at the Computer Science
Institute of University of Bonn, Germany, has an immediate opening for a
PhD candidate or PostDoc in the area of bio-inspiered computer vision

The group, headed by Prof. Sven Behnke, conducts research in the areas
of computational intelligence and cognitive robotics. We developed a
hierarchical recurrent neural approach to computer vision (Neural
Abstraction Pyramid, see ).
Our humanoid soccer robots (team NimbRo, see )
recently defended the title in the RoboCup soccer tournament.

We seek for an excellent candidate with a strong own interest in
computer vision, machine learning, or probabilistic inference.

Project goal is the creation of a general-purpose trainable vision
system using hierarchical recurrent neural networks and/or hierarchical
graphical models with loops. Various deep, locally connected network
architectures and learning algorithms will be investigated for their
ability to capture the hierarchical structure of the visual world. The
system will be implemented on GPUs using CUDA and tested on real-world
data sets, for example from robotics.

The position involves teaching duties of four hours per week in the

Masters (or Diploma) degree or PhD in any of Computer Science,
Mathematics, or Physics. A strong mathematical background is highly
desirable. Advantageous is experience in computer vision, machine
learning, applied statistics, and excellent programming skills (Matlab
or C).

According to NRW TVL-13 annual gross starting from 37.700 Euros (approx.
USD 58.570), depending on experience. Initial contract will be up to three

Please send applications via email, including the regular CV, your
research interests, and list of publications, preferably in a single pdf.
Links to download publications and thesis are also welcome.
Applications should be sent to
Cc to with "subject: Application GPCV"


From: "Andy Bulpitt" <>
Subject: JOB : Rsearch Fellow - Univ of Leeds - UK

Senior Translational Research Fellow in Computer Based Microscopic
Image Analysis and/or Visualization

University of Leeds
Biomedical and Health Research Centre

University Grade 8 (=A334,793 - =A341,545 p.a.) depending upon experience
and qualifications.

As the largest centre in the UK for the evaluation of digital
histopathology, we are looking for an exceptional Fellow to conduct
research and help maximise the clinical benefit of this new technology.
A talented computer scientist of PhD standing, your expertise in medical
image analysis and/or visualization (ideally in microscopic imaging)
will help you to effectively drive forward your collaborations.

As well as working with colleagues from a wide range of disciplines to
share knowledge, you'll forge effective partnerships with fellow
innovators to develop novel image analysis and/or visualization
techniques; facilitating novel research in the histopathology domain.
We=92ll look to you to thrive in complementary research into general
medical image analysis.

You'll also be enthusiastic about working alongside computer
scientists and clinicians alike within 2D and 3D digital histopathology
image analysis and visualization.

Informal enquiries to Dr Derek Magee
tel: +44 (0)113 3436819

Further information on this opportunity, about the Leeds Biomedical and
Health Research Centre, and application instructions can be found at .

Application packs are also available from Amy Russell tel:+44 (0) 113 3432274
Job ref: 314245 =09
Closing date: 10 October 2008


From: Luisa Rigoni <>
Subject: JOB : Post-doc - FBK - Trento, Italy

FBK - Center for Information Technology
Technologies of Vision Group ( )

The Center for Information Technology IRST ( is
launching a six year research program (Embedded Intelligence and
Systems) that aims at developing research on integrated, distributed,
and intelligent systems that work in a range of different non structured
environments, systems that can monitor, understand, and predict
behaviors of actors in such environments, as well as realize complex
functions in an autonomous and reliable way. In this context a position
is open in the field: Advanced perception for Embedded Intelligence. A
number of key issues in (visual) monitoring of scenes populated by
people will be investigated. These include (i) adaptation to (a dynamic)
environment and its resource constrained sensing, networking and
processing infrastructure, and (ii) learning of persistent patterns that
encode sensing geometry and physics, scene appearance, and scene
dynamics. The skilled candidate is interested in a principled treatment
of the problem using rigorous formalism, and has a solid research record
on related topics, including but not limited to: inference on graphical
models, Bayesian state estimation, and multi-modal fusion. To apply
online please send your CV to Ref.Code EMIS_TEV

General Requirements for the research positions are:
- PhD Degree or three years of post-graduated research experience
- A good publication record
- Experience in research projects
- Ability to work in group
- Ability to work and deliver in research projects
- Ability to work both independently and as a team player in local and international
research teams.

Type of contract: 3 years, post-doc or research position. Possibility of
Tenure Track. Salary offer will be between € 32.000 and € 38.000 per
year based on experience, scientific background, and qualification.

FBK - Fondazione Bruno Kessler is situated in Trentino, a province in northern
Italy. The foundation, with more than 350 researchers, conducts studies in
the areas of Information Technology, Materials and Microsystems, Italo-Germanic
studies, and Theological sciences. Thanks to a close network of alliances
and collaborations, FBK also conducts research in theoretical nuclear physics,
networking and telecommunications, and social sciences (studies of public
policy effectiveness).

For further information and other open position in the program Embedded Intelligence
and Systems please visit

Luisa Rigoni, Human Resources
Fondazione Bruno Kessler - Sede di Povo (TN)
tel. 0461/314373, fax 0461/302040


From: YingLi Tian <>
Subject: JOB : Postdoc position - CCNY - NY

PostDoc/Visiting Scholar Opening:

A postdoctoral research associate/visiting scholar position is available
immediately at the CCNY Media Lab of City College of City University of New
York. We are looking for candidates with strong experience in computer vision
or remote sensing. Knowledge and experience in image and video processing,
hyperspectral image analysis, and sensor fusion are especially welcome.

Interested candidates, please send CV to Dr. Yingli Tian at
More details can be found at

YingLi Tian, PhD, Associate Professor, Department of Electrical Engineering
City College and Graduate School, City University of New York
Convent Avenue at 140th Street, New York, NY 10031
Tel: (212) 650-7046, Fax: (212) 650-8249


From: "Crabb, David" <>
Subject: JOB : PhD studentship - City University - London UK

Fully funded PhD Studentship
Department of Optometry and Visual Science,
City University London
PhD Project: Measuring visual disability in glaucoma

Glaucoma is a leading cause of irreversible visual impairment and blindness.
Measuring visual field defects is important in the clinical management
of the disease, but little is actually known about how different defects
impact on patients' 'everyday' visual functioning, especially in the early
stages of the disease. Using a series of laboratory based experiments, we
will investigate the performance of a large group of patients on a variety
of visual tasks such as reading, reaching and grasping for objects, searching
images and face recognition. A particularly novel aspect of these experiments
will be simultaneous monitoring of eye movements, with the aim of demonstrating
how patients may use these to compensate for their functional difficultly.
Results from this research are likely to generate considerable interest and
will be presented at conferences in the US and Europe, and extensive travel
funding for this is available.

A suitable candidate will have a good honours degree or an MSc. The studentship
is not restricted to those with a particular background; rather we seek a
dedicated scientist who can demonstrate real enthusiasm for this exciting
project. Detailed knowledge about vision or eyes will not be required but
experience at performing experiments with people would be a key advantage,
as would be a familiarity with computing and analysing data. The 3-year studentship
is open to UK and EU candidates only and is worth =A315K per annum (tax free),
with all fees for PhD registration paid. There are also opportunities for
paid work demonstrating, teaching and administration within the

The candidate will join a lively research laboratory composed of other PhD
students & research fellows and will work closely with our clinical partner
in glaucoma research, Moorfields Eye Hospital: an internationally recognised
research hospital. Applications (CV, including 2 referees and a statement
of interest) should be submitted (in writing or email) to the principal project
Dr. David Crabb, Department of Optometry and Visual Science,
City University London, Northampton Square, London EC1V 0HB
T +44 (0)207 040 0191

Informal enquires are strongly encouraged.



From: Patrick Horain <>
Subject: JOB : PhD studentship - SudParis - France
Organization: Institut TELECOM / TELECOM & Management SudParis / EPH (

Ph.D. studentship in Computer Vision

A fully funded 3 year PhD studentship is available in the Intermedia
group at TELECOM & Management SudParis (Institut TELECOM, France).

The work will be carried out within the context of the CompanionAble European project that aims at
helping the elderly with mild cognitive impairments live at home.
Research will focus on applying computer vision techniques for user
perception jointly by a robot companion and a smart home, including
fall detection, human motion capture and recognition, activity
monitoring and emotion estimation from single and/or multiple views.

The Intermedia group
at TELECOM & Management SudParis is an
internationally active group dedicated to carrying out leading-edge
research in computer vision and signal processing for man-machine
communication, including patient home-care, gesture-based interaction,
biometry, video surveillance and more. It is part of Institut TELECOM , a pole of
reference integral to the French public research structure making a
visible and significant contribution to innovation in the field of ICST
and involving 600 faculty members and 700 doctoral students. It is
located in Evry, the capital of the Essonne Region that has for many
years focused on cutting-edge technologies: Génopole, Arianespace, CNES,
Snecma moteurs and many other public and private laboratories, at the
heart of a culturally dynamic town with many green open spaces, only 30
minutes away from Paris.

Ideally, applicants will have conducted Master level research in
computer vision and should be able to use English as working language.
French language is welcome but not required. Thesis work is expected to
start in the 2008-2009 academic year.

Applications consisting of a CV with a motivation statement letter
should be sent to Dr Patrick Horain
( ) before the 15th of
September 2008.

Patrick Horain
Institut TELECOM (ex GET) / TELECOM & Management SudParis (ex INT)


From: "Chen, Terrence (SCR US)" <>
Subject: JOB : Internships - Siemens Corporate Research - Princeton, NJ

SCR has several internship openings in the areas of Robust Computer
Vision, Machine Learning, and Semantic Imaging. Our focus is to exploit
large collections of data to build robust vision applications.

You will have the opportunity to test your computer vision and machine
learning knowledge in a challenging problem-solving environment. You
will be encouraged to think out of the box, innovate and find solutions
to real-life problems.

Candidates should have C/C++ proficiency on MS Windows platform and a
basic knoledge of machine learning, statistics, and imaging.

Siemens Corporate Research (SCR) is one of the world's premier research
labs for computer vision, medical imaging, and applied machine learning.
SCR is located in Princeton, NJ, USA, and provides a stimulating
environment for highly talented and self-motivated researchers. SCR
excels in transferring academic research into innovative products, and
works in close collaboration with clinical partners. The lab has more
than 250 researchers and over 100 students involved in hundreds of
University, Clinical and Government collaborations. SCR is part of
Siemens Corporate Technology, a division comprising 2500+ research
scientists in Princeton, Berkeley, Erlangen, Munich, Berlin, Tokyo,
Beijing, Shanghai, Bangalore, St. Petersburg and Moscow.

Siemens is an Equal Opportunity Employer encouraging diversity in the

Please forward your resume to:


From: Tomas Pajdla <>
Subject: CFP : ICCV 2009 - Kyoto, Japan - 10MAR2009

The 12th IEEE International Conference on Computer Vision (ICCV 2009)

September 27 - October 4, 2009
(Main Conference: September 29 - October 2, 2009)
Kyoto International Conference Center, Kyoto, Japan

Important Dates:

Deadline for full paper submission: March 10, 2009.
Notification of acceptance: June 15, 2009.
Submission of camera-ready papers: July 15, 2009.
Deadline for workshop proposals: February 2, 2009.
Deadline for tutorial proposals: April 20, 2009.

Tomas Pajdla
Center for Machine Perception
Czech Technical University in Prague
Faculty of Electrical Engineering, Department of Cybernetics
Karlovo namesti 13, 121-35 Praha 2, Czech Republic
phone: +420-224-357-348, fax: +420-224-357-385


Subject: CFP : ICVS 2009 - Belgium - 04MAY2009


The 7th Internatiol Conference on Computer Vision Systems will take
place October 12-15 2009 in Liege, the cultural and economic capital
of Wallonia, Belgium, continuing the established series of conferences
held so far in Europe and North America.

ICVS brings together researchers and developers from academe and
industry around the world. Due to its perspective on systems, it is a
well-positioned platform for knowledge and technology transfer and for
the identification of application-driven research questions.

The main conference program is complemented by associated workshops
and tutorials.

While most computer vision conferences focus on either algorithms or
applications, ICVS addresses issues arising in the design and
deployment of computer vision *systems*. Its scope includes but is not
limited to the following topics:
- Building computer vision systems: paradigms, architectures,
integration and control
- Computer vision algorithms for the real world: robustness, learning,
adaptability, self-assessment, automatic recovery from failure
- Exploiting task context: knowledge representations, reasoning, goal
specification, context awareness, perception-action loops
- Biological systems: computer vision inspired by biology or
- Implementation issues: embedded systems, nonstandard hardware,
real-time systems
- Performance evaluation: benchmarks, methods and metrics

The conference proceedings will be published in the Springer series of
Lecture Notes in Computer Science.

KEYNOTE SPEAKER confirmed to date:
Jay Yagnik
Google Inc., Head of Computer Vision and Audio Understanding Research

Paper submission: 4 May 2009
Notification of acceptance: 10 July 2009
Camera-ready paper: 3 August 2009
Conference: 12-15 October 2009

General Chair: Justus Piater, Univ of Liege, Belgium
Program Chairs: Bernt Schiele, TU Darmstadt, Germany, and
Mario Fritz, ICSI & UC Berkeley
Tutorial and Workshop Chair: Markus Vincze, TU Vienna, Austria

Conference Secretariat:
Michele Delville and Celine Dizier, A.I.M., Belgium

For more and up-to-date information, see


Subject: CFP : Int J of Imaging (IJI)

International Journal of Imaging (IJI)

ISSN 0974-0627

We would appreciate if you could distribute this information by your
colleagues and co-workers.


The main aim of the International Journal of Imaging (ISSN 0974-0627) is
to publish refereed, well-written original research articles, and
studies that describe the latest research and developments in the area
of imaging. This is a broad-based journal covering all branches of
imaging, its application in technology and interdisciplinary research.
International Journal of Imaging (IJI) is a peer-reviewed online journal
and is published in Spring and Autumn i.e. two times a year. The areas
of interest include (but are not limited to):
- Signal and Image Processing,
- Image Acquisition and Calibration,
- Pattern Analysis and Recognition,
- Feature Extraction and Detection,
- Filters, Algorithms, Video Coding and Watermarking,
- Video Processing and Analysis,
- Reconstruction, Restoration, and Enhancement,
- Image Understanding, Registration, Tracking, Segmentation and
- 3D Vision,
- Statistical Imaging & Tomography,
- Face Recognition and Facial Expression Analysis,
- Human-Machine Interfaces,
- Virtual Reality and Augmented Reality,
- Inverse Problem & Imaging,
- Medical Imaging,
- Software Development for Image Processing and Analysis,
- Computer Aided Diagnosis, Surgery, Therapy, and Treatment,
- Computational Bioimaging and Visualization,
- Telemedicine Systems and their Applications, and
- Software Development.

Manuscripts can also be sent to the Editor-in-Chief International Journal
of Imaging, via .
Detailed instructions on how to prepare your manuscript are available at
Author Instructions ( ).

Sincerely yours,

Jo=E3o Manuel R. S. Tavares
(University of Porto, Portugal)
International Journal of Imaging (IJI)


From: Bob Fisher <>
Subject: CFP : Special J issue on Video-based Gait Analysis - 01MAR2009

IEEE Transactions on Systems, Man, and Cybernetics Part B: Cybernetics
Special Issue on
New Advances in Video-based Gait Analysis and Applications: Challenges and Solutions

The IEEE Transactions on Systems, Man, and Cybernetics Part B:
Cybernetics is seeking original high-quality manuscripts for a Special
Issue on New Advances in Video-based Gait Analysis and Applications,
scheduled for publication in early 2010.

The study of human gait has generated much interest in the fields
including biomechanics, clinical analysis, computer animation, robotics,
and biometrics. In the early studies, traditional sensor-based obtrusive
methods were commonly used. Recently, with the development of widespread
availability of cameras and techniques of automated video analysis,
video-based gait analysis has been one of most active but challenging
research topics. As a relatively new biometric, gait can be used to
signify the identification of individuals in image sequences. From a
surveillance perspective, gait recognition is an attractive modality
because it may be performed at a distance, surreptitiously. Gait motion
capture and understanding are important in HCI and entertainment such as
computer game and automation. Recently, gait has also been used for
gender discrimination and age estimation, as well as traditional
applications in medical diagnosis and rehabilitation.

There has been great progress made in the area of video-based gait
analysis over the past few years, but not without limitations such as
view dependence, simple and controlled environment, insufficient
consideration of temporal influences on gait (such as clothes, carrying
conditions, health states, body build variations due to weight), etc.
This poses a number of significant challenges in video-based gait
analysis and applications. More advanced solutions are thus needed to
meet emerging application needs. As one major frontier for computer
vision and pattern recognition research, statistical learning theories
and techniques have been successfully applied for human tracking, motion
modeling and recognition, which have evidenced rapid and fruitful
developments, and are under the way to make further significant
contributions to the area of vision-based gait analysis. To present and
highlight the latest developments in vision-based gait analysis and
applications in terms of both challenging areas and research approaches,
this special issue is designed to aim at new advances in video-based
gait analysis for different applications and will feature papers
proposing new solutions to these real difficulties. We will solicit
original contributions of researchers and practitioners from academia as
well as industry, which address a wide range of theoretical and applied
issues. Topics of interest include, but are not limited to:

* Viewpoint invariant gait analysis from a single camera
* Gait and scene of crime analysis
* Invariant description of exploratory variables
* Abnormal gait detection and analysis
* Robust segmentation and tracking in complex scenes
* Real time gait video analysis
* Efficient storage, processing and retrieval of large amounts of
video data
* Gait classification and recognition
* Gender and/or age classification from gait analysis
* Gait-assisted diagnosis and/or treatment
* Gait motion capture and performance evaluation
* Gait biomechanics
* Gait detection and tracking in videos
* Gait feature fusion from camera networks
* Semantic linkage between camera networks and other sensors
* Gait databases
* Other related aspects

The submitted articles must not have been previously published and must
not be currently submitted for publication elsewhere. Prospective
authors are responsible for understanding and adhering to the submission
guidelines listed on the journal website. All submitted papers will be
reviewed by at least three independent reviewers. Prospective authors
should submit an electronic copy of their complete manuscript by the
journal Manuscript Central, according to the following timetable:

* Full paper due: March 1, 2009
* First notification: June 1, 2009
* Revised manuscript due: August 1, 2009
* Acceptance Notification: October 1, 2009
* Final manuscript due: November 1, 2009
* Publication of the special issue: 2nd quarter of 2010

Please address all correspondence regarding this special issue to any of
the following guest editors:
Liang Wang ( ),
The University of Melbourne, Australia
Guoying Zhao ( ),
University of Oulu, Finland
Nasir Rajpoot ( ),
University of Warwick, UK
Mark Nixon ( ),
Southampton University, UK


From: WIAMIS 2009 webmaster <>
Subject: CFP : 10th Int'l WS IA for Multimedia - London, UK - 21NOV2008

Call for Papers

10th International Workshop on Image Analysis for Interactive Services

May 6-8 2009, London, UK

The International Workshop on Image Analysis for Multimedia Interactive
Services (WIAMIS) is one of the main international fora for the
presentation and discussion of the latest technological advances in
interactive multimedia services. The objective of the workshop is to
bring together researchers and developers from academia and industry
working in all areas of image, video and audio applications, with a
special focus on analysis.

Topics of interest include, but are not limited to:
* Multimedia content analysis and understanding
* Content-based browsing, indexing and retrieval of images, video and
* 2D/3D feature extraction
* Advanced descriptors and similarity metrics for audio and video
* Relevance feedback and learning systems
* Segmentation of objects in 2D/3D image sequences
* Motion analysis and tracking
* Video analysis and event recognition
* Analysis for coding efficiency and increased error resilience
* Analysis and tools for content adaptation
* Multimedia content adaptation tools, transcoding and transmoding
* Content summarization and personalization strategies
* End-to-end quality of service support for Universal Multimedia
* Semantic mapping and ontologies
* Multimedia analysis for new and emerging applications
* Multimedia analysis hardware and middleware
* Semantic web and social networks
* Advanced interfaces for content analysis and relevance feedback

Proposal for Special Session: November 21, 2008
Paper Submission: December 1, 2008
Notification of Acceptance: January 16, 2009
Camera-ready Papers: February 06, 2009

We intend to publish the proceedings in the Springer's Lecture Notes in
Computer Science Series and to make them available in IEEExplore. The
authors are requested to send their submissions (4 pages double column
in English). All submissions will be peer reviewed by at least three
members of the technical program committee.

Ioannis Patras, Queen Mary, University of London, UK
Nicu Sebe, University of Amsterdam, The Netherlands

Aggelos Katsaggelos, Northwestern University, USA
Mihaela van der Schaar, University of California, Los Angeles, USA

Yiannis Andreopoulos, University College, London, UK
Benoit Macq, Universite Catholique de Louvain, Belgium

Jan Nesvadba, Philips Research Laboratories, NL

Andrea Cavallaro, Queen Mary, University of London, UK
Maja Pantic, Imperial College, UK / Univ. of Twente, NL

Tijana Janjusevic, Queen Mary, University of London, UK
Sander Koelstra, Queen Mary, University of London, UK
Tomas Piatrik, Queen Mary, University of London, UK

Lourdes Agapito (Queen Mary, University of London, UK)
Kiyoharu Aizawa (Univ. of Tokyo, Japan)
Luigi Atzori (Univ. of Cagliari, Italy)
Yannis Avrithis (NTUA, Greece)
Alberto del Bimbo (Univ. of Florence, Italy)
Susanne Boll (Univ. of Oldenburg, Germany)
Adrian Bors (Univ. of York, UK)
Nozha Boujemaa (INRIA, France)
Nikolaos Boulgouris (King's College London, UK)
K. Selcuk Candan (Arizona State Univ., UK)
Tsuhan Chen (CMU, USA)
Touradj Ebrahimi (EPFL, Switzerland)
Moncef Gabbouj (Tampere Univ. of technology, Finland)
Aphrodite Galata (Univ. of Manchester, UK)
Nikos Galatsanos (Univ. of Patras, Greece)
Edwin Hancock (Univ. of York, UK)
Alan Hanjalic (Delft Univ. of Technology, NL)
Allan Hanbury (Vienna Univ. of Technology, Austria)
Hermann Hellwagner (Klagenfurt University, Austria)
Thomas Huang (UIUC, USA)
Ebroul Izquierdo (Queen Mary, Univ. of London, UK)
Francisca de Jong (Univ. of Twente, NL)
Joemon Jose (Univ. of Glasgow, UK)
Moon Gi Kang (Yonsei Univ., Korea)
Yiannis Kompatsiaris (ITI, Greece)
Janusz Konrad (Boston Univ. USA)
Inald Lagendijk Delft UNiv. of Technology, NL)
Riccardo Leonardi (Univ. of Brescia, Italy)
Zhu Li (Hong Kong Polytechnic Univ, Hong Kong)
Rainer Lienhart (Univ. of Augsburg, Germany)
Dimitris Makris (Kingston Univ., UK)
Stephane Marchand-Maillet (Univ. of Geneva, Switzerland)
Ferran Marques (UPC, Spain)
Jose M. Martinez (Universidad Autonoma de Madrid, Spain)
Majid Mirmehdi(Bristol Univ., UK)
Sanjit Mitra (Univ. of California, Santa Barbara, USA)
Rafael Molina (Univ. of Granada, Spain)
Marta Mrak, University of Surrey, UK
Milind Naphade (IBM, USA)
Noel O'Connor (Dublin City University, Ireland)
Antonio Ortega (USC, USA)
Nikos Paragios (ENPC, France)
Maria Petrou (Imperial College, UK)
Fernando Pereira (IST, Portugal)
Andrea Prati (Univ. of Modena, Italy)
Philippe Salembier (UPC, Spain)
Shin'ichi Satoh (NII, Japan)
Thomas Sikora (Technical Univ. Berlin, Germany)
John R. Smith (IBM, USA)
Qi Tian (Microsoft, China)
Christian Timmerer (Klagenfurt University, Austria)
George Tziritas (Univ. of Crete, Greece)
Paulo Villegas (Telefonica, Spain)
Jacob Verbeek (INRIA, France)
Arjan de Vries (CWI, NL)
Yao Wang (Polytechnic Univ., USA)
Marcel Worring (Univ. of Amsterdam, NL)
Ying Wu (Northwestern University, USA)

WIAMIS 2009 is sponsored by:
British Machine Vision Association ( )
PetaMedia NoE ( )
Visnet II NoE ( )
WeKnowIt ( )


Subject: CFP : VipIMAGE 2009 - Portugal - 15JAN2009

International ECCOMAS Thematic Conference VipIMAGE 2009 -
21-23th October 2009, FEUP, Porto, Portugal

We are glad to announce the International Conference VipIMAGE 2009 - II
PROCESSING will be held in the Faculty of Engineering of University of
Porto, Porto, Portugal, on October 21-23, 2009.

POSSIBLE TOPICS (not limited to):
* Image Processing and Analysis
* Segmentation, Tracking and Analyze of Objects in Images
* 3D Vision
* Signal Processing
* Data Interpolation, Registration, Acquisition and Compression
* Objects Simulation
* Virtual Reality
* Software Development for Image Processing and Analysis
* Computer Aided Diagnosis, Surgery, Therapy and Treatment
* Computational Bioimaging and Visualization
* Telemedicine Systems and their Applications

* Alejandro Frangi - Pompeu Fabra University, Spain
* Christos E. Constantinou - Stanford Univ School of Medicine, USA
* Demetri Terzopoulos - University of California, USA
* Joaquim A. Jorge - Instituto Superior Tecnico, Portugal
* Jose Carlos Prencipe - University of Florida, USA
* Lionel Moisan - Universite Paris V, France
* Tony Chan - University of California, USA


Proposals to organize Thematic Session within VipIMAGE 2009 are mostly
welcome. The organizers of the selected thematic sessions will be
included in the conference scientific committee and will have a reduced
registration fee. They will be responsible for the dissemination of
their thematic session, may invite expertise researches to have invited
keynotes during their session and will participate in the review process
of the submitted contributions. Proposals for Thematic Sessions should
be submitted by email to the conference co-chairs
( or )


The proceedings book will be published by the Taylor & Francis Group, as
happened with VipIMAGE 2007 (ISBN: 9780415457774). The organizers will
encourage the submission of extended versions of the accepted papers to
related International Journals; in particular for special issues
dedicated to the conference. One possibility already confirmed is the
International Journal for Computational Vision and Biomechanics
(IJCV&B). As what happened with VipIMAGE 2007, the organizers will also
propose the publishing of a book by SPRINGER (ISBN: 978-1-4020-9085-1),
under the Computational Methods in Applied Sciences series, with invited
works from the most important ones presented in conference.

* Deadline for Thematic Sessions proposals: January 15, 2009
* Submission of extended abstracts: March 15, 2009
* Lectures and Final Papers: June 15, 2009


From: "Bhanu Prasad" <>
Subject: CFP : IICAI-09 Call for papers - India - 16DEC2009

The 4th Indian International Conference on Artificial Intelligence
(IICAI-09) will be held in Tumkur (near Bangalore), India during
December 16-18 2009. The conference consists of paper presentations,
special workshops, sessions, invited talks and local tours, etc. and it
is one of the biggest AI events in the world. We invite draft paper
submissions. Please see the website: for
more details of the conference.

Bhanu Prasad, Conference Chair
Department of Computer and Information Sciences
Florida A&M University, Tallahassee, FL 32307, USA
Phone: 1-850-412-7350 Fax: 1-850-599-3221


From: Mayank Vatsa <>
Subject: CFP : Special Issue J Soft Computing - 20DEC2008
Organization: West Virginia University, USA

International Journal of Soft Computing
( )

Special Issue on Soft Computing for Digital Information Forensics


The emergence and evolution of new digital technologies are dramatically
changing how information is captured, processed, analyzed, interpreted,
transmitted, and stored. While digital technology has greatly improved
the collection and analysis of evidences, the underlying research
challenges primarily focus on the integrity and the reliability of
validating the resulting forensic decisions accurately. Furthermore,
digital evidences can be easily tampered, altered, or forged to commit
fraud, identity theft, or impersonate someone else, to remain elusive
from law enforcement. Using image processing techniques, it is easy to
tamper the original image by replacing an individual's face, and making
the change difficult to detect. Image forensic techniques use natural
properties of image to determine forgery or locate tampering. In another
example, it is possible to determine whether an image is generated by a
digital camera, a cell-phone camera, or a computer by analyzing the
image properties and characteristics and comparing the statistics of
various digital devices.

With the rise of digital crime (signature forgery, image forgery,
illegal transaction, etc.) and the pressing need for methods to combat
these forms of criminal activities, there is an increasing awareness of
the importance of information forensics for security applications.
Fundamental areas of interest include attack models, cryptanalysis,
steganalysis, authentication, human identification, signal
classification, surveillance, transaction tracking, etc.

In many practical applications, the evidences collected from a crime
scene may be non-ideal due to poor quality or availability of partial
information. It is imperative for new research approaches to fuse
information from multiple evidences to make a forensic decision or
reliably classify as genuine or imposter.

In all these forensic applications, soft computing techniques such as
neural networks, fuzzy logic, evolutionary computing, and rough set,
play an important role in learning complex data structures and patterns,
and classifying them to make intelligent decisions. Soft computing has
been widely used in various applications, such as machine vision,
pattern detection, data segmentation, data mining, adaptive control,
biometrics, and information assurance. This special issue aims to
highlight state-of-the-art research and novel solutions in information
forensic applications using emerging soft computing techniques.


High quality review and technical research papers are solicited for the
special issue. The topics include but are not limited to the following:

Algorithms: Bayesian learning, neural network, support vector machine,
genetic algorithms, rough sets, case based reasoning, fuzzy logic,
uncertainty principle, and other machine learning approaches.

Applications: Handwriting analysis, digital document examination,
image/video forgery detection, evidence source investigation, speaker
authentication, intelligent surveillance, biometrics, digital device
forensics, digital evidence retrieval, multi-mode human indexing,
digital transaction tracking, cryptanalysis and steganalysis, crime
prevention and prediction, information fusion, friction ridge analysis,
and other forensics applications.


Manuscripts must be prepared in accordance with the "Guide for Authors"
page at the journal website, . Further, the
manuscript must be submitted in the form of PDF file to one of the guest
editors. The submission must include the title, abstract of your paper,
and the corresponding author's name and affiliation. All papers will be
rigorously reviewed based on originality and high scientific quality.
Manuscripts must be well organized, clearly written with sufficient
support for assertions and conclusion.

International Journal of Soft Computing is indexed by Computer Science
Index, Current Contents, Ei Page One, Inspec, ISI Web of Science,
Journal Citation Reports-Science, Science Citation Index Expanded
(SCI-E), SCOPUS, Zentralblatt Math, etc.

Submission deadline: December 20, 2008
First notification date: March 30, 2009
Revision due date: April 30, 2009
Second notification date: May 31, 2009
Camera-ready due: July 1, 2009


Dr. Shiguo Lian
Human-Computer Interface (HCI) Lab
France Telecom R&D (Orange Labs) Beijing, China

Prof. Gregory L. Heileman
Electrical & Computer Engineering Department
University of New Mexico, USA

Prof. Afzel Noore
Lane Department of Computer Science & Electrical Engineering
West Virginia University, USA


From: "Zhenan Sun" <>
Subject: CFP : 3rd Int Conf Biometrcs - Italy - 01NOV2008
Organization: CASIA

The 3rd International Conference on Biometrics (ICB 2009)
2 - 5 June 2009, Alghero, Italy

We are now seeing increasing deployment of biometric systems in many
aspects of life, including face, fingerprint, gait and iris recognition
systems at airports as well as access to highly secure facilities.
Several applications in government, commercial, defense and law
enforcement areas have a basic need to automatically identify humans
both locally and remotely on a routine basis. The need for high accuracy
and broad population coverage has made it necessary to investigate the
use of multi-modal biometrics. The intrinsic security of the biometrics
systems and the associated privacy concerns have emerged as important
research topics.

The 3rd International Conference on Biometrics (ICB 2009) will bring
together leading biometric researchers, system designers, and end users
to promote the development of robust solutions to efficient and secure

Suggested topics for presentation include, but are not limited to:

Biometric Technologies
. Face
. Fingerprint
. Gait
. Gesture
. Hand(palm prints, veins, hand geometry)
. Iris
. Signature
. Speech
. Multi-modal biometric fusion

Biometric System Design
. Architecture
. Large scale identification systems
. Template selection and update
. Smart card
. System attacks

Performance Evaluation
. Confidence interval estimation
. Databases
. Performance modeling and prediction
. Protocols and benchmarking
. Sample size requirements
. Standards

. Access control
. Border control & law enforcement
. Entertainment
. Finance
. Healthcare
. Intelligent robots
. Physical and logical security


Prospective authors are requested to submit full length papers (up to 10
pages) in Springer LNCS format, on-line at:

Paper submission: November 1, 2008
Notification of acceptance: December 15, 2008
Final camera-ready copy due: February 1, 2009


The three days will include: single track podium presentations, keynote
talks, panel discussions, poster and demo sessions (for more information
see the web site ). Several biometric
competitions (mono-modal and multimodal) are also promoted, the results
will be announced at a special session of the conference. On-site
proceedings will be published by Springer Verlag LNCS series.

Best paper awards: The IAPR best biometrics student paper award will be
assigned. Other scientific awards will be also presented.

Venue: Hotel Carlos V, Alghero, Italy.


From: Bob Fisher <>
Subject: CFP : WS visual analysis of animal/ insect behavior - FL - 07DEC2008

Visual observation and analysis of animal and insect behavior (VAIB)

A 1 day workshop to be held December 7, 2008 at the 2008 International
Conference on Pattern Recognition Tampa Bay, Florida, USA

There has been an enormous amount of research on analysis of video data
of humans, but relatively little on visual analysis of other organisms.
The goal of this workshop is to stimulate and bring together the current
research in this area, and provide a forum for researchers to share

The papers to be presented are:
[ Please follow links below for details. phil...]

More details can be seen at:

Registration is via the ICPR Conference site:

The workshop is sponsored by the EU ChiRoPing project.


End of VISION-LIST digest 27.7

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