VISION-LIST digest 26.5

VISION-LIST Digest Mon Jun 04 10:38:55 PST 2007 Volume 26 : Issue 5

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Today's Topics:

JOB : CV SE - VideoMining Corp - State College, PA USA
JOB : CV Researcher - InterSense Inc - Bedford, MA USA
JOB : CV development - Blue Lava Tech - Hawaii USA
JOB : Senior Imaging Scientist - Retica Systems - Waltham, MA USA
JOB : CV Scientist - Imorphics - Manchester, UK
JOB : Visiting Prof - Sungkyunkwan Univ - Korea
JOB : Postdoc Fellowship - Univ of Waterloo - Waterloo, CA
JOB : Postdoc - Australian Centre for Visual Tech - Adelaide, AUS
JOB : Doctoral Research Fellow - Univ of Sassari - Sassari Italy
JOB : Postdoc - GE Healthcare - London, ON Canada
CFP : 4th IEEE Project-Camera Systems WS - Minneapolis, MN - 18JUN2007
CFP : EURASIP J. ML in IP - 01SEP2007
CFP : ISVC 07 WS on Image Databases - 23JUL2007

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From: "Emilio Schapira" <eschapira@xxxxxxxxxxxxxxx>
Subject: JOB : CV SE - VideoMining Corp - State College, PA USA

POSITION SUMMARY

This position is located in VideoMining Corporation's Gaithersburg, MD
office. We are seeking Computer Science/Electrical Engineering graduates
to design, develop, and test our cutting-edge computer vision solutions.
The selected candidates will be tasked with improving the accuracy and
robustness of our existing solutions, and brainstorming and implementing
novel solutions to various real-world problems. The desired candidate
should have some experience in computer vision and demonstrate a good
understanding of data structures and algorithms. The successful
candidate will become a member of our vision group, and will have the
opportunity to work with a team of highly-motivated individuals who have
a passion for making computer vision applications work in the real
world.

Duties and Responsibilities
* Develop algorithms to solve specific computer vision problems.
* Test and improve accuracy of existing algorithms.
* Assist the services team by interacting with Project Managers in
maintaining the integrity and accuracy of data being generated by the
computer vision algorithms.
* Work with software engineers to integrate vision algorithms into
production-level code.

Experience/Skills Required
* BS/MS in Computer Science or related field, with experience in
computer vision.
* Excellent analytical ability and problem solving skills.
* Proficient in C/C++, Object Oriented Programming.
* Experience with XML, Python, or C# is a plus.
* Knowledge of the .NET platform and some experience with the
Visual studio is a plus.
* Ability to learn and willingness to work in a fast-paced
environment.

BENEFITS
VideoMining Corporation offers a competitive salary in an excellent work
environment. Our benefits package includes health, dental and vision
insurance, and the opportunity to participate in an attractive stock
ownership plan.

CONTACT INFORMATION
Submit your resume to mailto:jobs@xxxxxxxxxxxxxxx .
Refer to Job Posting 2007-CV-MD.
All inquiries will be handled in strictest confidence.

VideoMining Corporation is an equal opportunity employer.

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

From: "Eric and Chu Foxlin" <foxlin@xxxxxxxxxxx>
Subject: JOB : CV Researcher - InterSense Inc - Bedford, MA USA

InterSense is seeking a world-class researcher to help us grow our
market leadership and intellectual property position in vision-aided
inertial navigation. As part of a small and rapidly-innovating Advanced
Technology Group, you will conceive and develop prototypes of clever and
sometimes unorthodox solutions to challenging vision-based pose-tracking
and geometric modeling problems in a wide variety of industries and
environments, and you will help test and refine the techniques in
demanding real-world customer applications.

POSITION DESCRIPTION

A successful candidate will help us grow our market leadership and
intellectual property position in vision-aided inertial navigation. The job
requirements include:
* M.S. or PhD. in Computer Science.
* Track record of innovation in the computer vision field with emphasis
on photogrammetry, bundle adjustment, structure-from-motion, image-based-
modeling, vision-based navigation/tracking, feature detectors, camera
calibration and/or pose recovery algorithms.
* Excellent C and C++ programming skills, and a passion for writing,
maintaining, documenting and supporting high-quality re-usable code.
* Knowledge of state-of-the art software tools (such as available image
processing and computer vision libraries) and vision hardware
(cameras, lenses, processors, computing platforms, etc), and the ability
to continually seek out information and educate co-workers about the
latest developments.

PLUSES
* Specific past experience in optical motion tracking, motion capture,
or metrology.
* Insight into modeling optical systems (e.g. lens/distortions/
aberrations) to achieve extremely high sub-pixel accuracy .
* Strong writing skills demonstrated in publications and/or successful
grant applications .
* Interest or experience with computer graphics, virtual reality,
augmented reality, wearable computing, etc.

InterSense will reward the successful candidate an outstanding salary,
equity and benefits program. This position reports to the CTO.

ABOUT INTERSENSE
InterSense, Inc. is a leading developer of innovative inertial sensors and
tracking systems for the military, industrial, and R&D markets. Our patented
technology and systems are sold throughout the world to a prestigious array
of customers.

We are a profitable, growing company with an ever expanding presence in the
military, industrial and emerging commercial markets. We are a team
oriented, results driven, venture backed start up with hundreds of customers
and thousands of products in use around the world.

Learn more about InterSense... http://www.intersense.com

To apply for a position, forward a cover letter & resume to:
mailto:jobs@xxxxxxxxxxxxxx

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

From: Lorenz Sell <lorenz@xxxxxxxxxxxxxxxx>
Subject: JOB : CV development - Blue Lava Tech - Hawaii USA

Blue Lava Technologies is building a really awesome way to organize and
share all your photos using funky stuff like facial recognition and
artificial intelligence.

We're looking for a really smart image processing engineer with real
world software development experience to lead our image processing
division.

Position Type: Full-time, Permanent
Required:
* PhD preferred, MS required
* Proven track record and individual technical accomplishments
* Extensive understanding of computer vision, pattern recognition, and image analysis
* Experience optimizing images for display
* Experience designing and developing image processing software
* Understanding of video/image compression technologies
* Experience programming in C/C++ with strong OO skills
* Experience programming in Python/Django and/or Objective C/Cocoa
* Experience with real time image processing and system modeling
* Must be a self starter who is capable of working with a team

Desired:
* Mac application development experience
* Willing to relocate to Hawaii

If you're interested, please email your resume to mailt:jobs@xxxxxxxxxxxxxxxxx
Thank you.

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

From: Faisal Bashir <fbashir@xxxxxxxxxx>
Subject: JOB : Senior Imaging Scientist - Retica Systems - Waltham, MA USA

Senior Imaging Scientist Job Description
5-8-2007

Title: Senior Imaging Scientist

Retica Systems, Inc. is the only, multi-modal ocular biometric
technology company offering the most advanced and accurate eye biometric
authentication solutions for logical, physical and digital ID
applications to government, industry and business enterprises worldwide.

We currently have openings for a Senior Imaging Scientist. The
candidates should have experience in general video & image processing,
general pattern recognition, general probability & statistics and
encryption / digital security. Good computer programming skill in C++ is
essential.

"Nice to have" skills/experience with computer vision and machine
learning techniques as applied to video surveillance including object
(human and face) detection and tracking; visible, IR and fused video
modalities; active camera setups with stationary and pan-tilt-zoom
cameras. A track record of original publications/patents will be a major
plus. Also, any of GUI design, DSP/Embedded system programming and
optimization, biometrics (Face, Fingerprint, Iris, etc.), optics and
optical systems, startup/ development stage companies, and bringing
products to market.

Responsibilities include work on R&D and product development in the
areas of face, iris, and fused face + iris for acquisition,
verification, and identification. Interacting and working with our
customers, as well as minor travel, may be required.

The ideal candidate will possess a BS with 10+ years experience, or an
MS with 5+ years experience, or a PhD with 1+ years experience.
Degree(s) can be in any of mathematics or applied mathematics, physics
or biophysics, EE or computer science, biomedical engineering or
computational chemistry / biology. Important qualities are an
enthusiastic attitude, ability to work in a fast paced environment, good
written and verbal communication skills, self motivation, be a team
player and ability to effectively multitask.

Retica Systems, Inc. offers a comprehensive benefits package and is an
equal opportunity M/F employer.

For more information on our company and products, please visit our
website at www.retica.com.
Please send your confidential resume to ( mailto:jobs@xxxxxxxxxx ) or mail
to Retica Systems, Inc., 201 Jones Rd., Waltham, MA 02451. Attention:
Marc Friedman. Fax number: 781-894-0008.

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

From: Ian Scott <ian@xxxxxxxxxxxxx>
Subject: JOB : CV Scientist - Imorphics - Manchester, UK

Imorphics provides leading-edge 3D shape-analysis technology to
international clients in the pharmaceutical and orthopaedic sectors. To
support our rapid growth, we are looking for an ambitious and
self-motivated computer vision expert who wants to make a real
difference to a fast growing company.

You will have a PhD or similar experience in computer vision. 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++

The role requires the candidate to be capable of leading technically
demanding projects and have the flexibility and communication skills to
operate effectively within a high calibre team.

Imorphics offers a fascinating opportunity for the right candidate. The
modelling techniques which we utilise are at the forefront of what is
possible within 3D medical imaging. Our technology allows us to
undertake powerful clinical trials, and provide detailed anatomical
information for orthopaedic design and surgical procedure. This is a
chance to join a leading technical company in its early stages, and make
a real difference using your computer vision skills

Salary and other benefits will be commensurate with experience. The
company also operates a share option package for key employees.

To apply please email your CV to mailto:careers@xxxxxxxxxxxxx .

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

From: "Ms.Young Han" <navvis@xxxxxxxx>
Subject: JOB : Visiting Prof - Sungkyunkwan Univ - Korea

We are constantly looking for a motivated and talented visiting
professors interested in working in a Robotics, and Computer Vision for
Intelligent Systems Research Center (ISRC). ISRC was chosen as a core
research center for providing human with high quality of robotic
services in the course of the 21st Century Frontier R&D program and
established in 2003 supported by the Gyeongi Provincial Government and
Sungkyunkwan University (SKKU). For more information, please visit
http://isrc.skku.ac.kr/english

* Position: Visiting Professors
* Dated Posted: 06/ 04/ 07

ISRC RESEARCH AREA
Robotics, Computer vision, 3D Perception/modeling, real-time 3D modeling
of dynamic environments, Software co-design of robotic functions

Type: Visiting Professors
Date of Expiration: No
Qualifications
- Limited to foreigners and holders of a PhD degree in related field under
60 who can lecture and research in English (Including teaching papers).
- 3+years of related experience in the above research area such as international
cooperation, university, and research center.
Conditions
- Salary: Negotiable
- Start of employment: July 1, 2007 (September 1, 2007-available)
- Length of Contract: One term/ Two terms/ Three terms (6 Months/ One year/
18 Months)
- Start of lecture: September 1, 2007
Duties
- Teach over one class per semester.
- Acknowledge on the submitted papers supported by the MIC (Ministry of Information
and Communication), Korea.
- Insert over two papers per semester in a level of SCI or get a patent(s)
involving in joint-research with domestic professors and postgraduate
students.
Schedule
- First: Viewing the Documents
- Seconds: On-site Interview/ Video Interview (Personally inform for passed
people about the first schedule)

Required Documents
Applicants are requested to submit the following documents.
- Resume
- Cover letter (or a letter of self-introduction)
- Copy of degree(s)/ Certificate(s)
- A Representative recent research achievements for detailed review

How to apply
Please send the above documents by e-mail.
- mailto:u.byungro@xxxxxxxxx , mailto:navvis@xxxxxxxx .

Contacts
Mr. Byungro Yoo, Administrative Team Manager,
Ms. Young, Secretary,
School of Information & Communication Engineering, Intelligent Systems Research
SUNGKYUNKWAN University, 300 Cheoncheon-dong, Jangan-gu, Suwon, Gyeonggi-do, 440-746, Korea
- Phone: +82-31-299-476
- mailto:u.byungro@xxxxxxxxx mailto:navvis@xxxxxxxx
- Website: http://isrc.skku.edu/

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

From: submission@xxxxxxxxxxx
Subject: JOB : Postdoc Fellowship - Univ of Waterloo - Waterloo, CA

Prof. David A. Clausi, Associate Professor in the Department of Systems
Design Engineering at the renowned University of Waterloo
( http://www.uwaterloo.ca ) (Canada), is looking for a post-doctoral
fellow (PDF) in the field of computer vision.

The project involves the automated interpretation of remotely sensed
imagery, with an emphasis on operational classification of satellite
radar (SAR) sea ice imagery. The research is conducted in direct
cooperation with the Canadian Ice Service (CIS), the agency responsible
for monitoring ice under Canadian jurisdiction for both navigational
(hazard avoidance) and environmental (e.g. global warming) applications.
CIS has an active interest in the use of automated algorithms for
classification of SAR sea ice imagery, and this supports an applied
research environment.

Interested people should have knowledge in fields such as computer
vision, image segmentation, and pattern recognition. Experience in
remote sensing systems is desirable, but not a pre-requisite. We are
focusing our efforts on novel Markov image models for both segmentation
and classification and experience using such approaches is an asset.

A leadership role to help direct the current research efforts of
graduate students is part of the position, should the incumbent desire
such an opportunity.

Full funding is available. Awardees will be part of the Vision and Image
Processing ( http://rousseau.uwaterloo.ca/ ) (VIP) research group at
the University of Waterloo. Candidates need a solid grasp of the
English language to competently communicate with the research team and
publish research results.

For additional information and/or to submit a CV, email Prof. Clausi
directly ( http://dclausi@xxxxxxxxxxxxxxxxxxxx ). Please provide the
contact information (mailing addresses and email) for at least three
references.

The University of Waterloo is a highly-ranked Canadian university with a
world-class reputation in high tech fields located an hour drive west of
Toronto, Ontario. More information about the university can be found here:
http://www.uwaterloo.ca/aboutuw/index.php and rankings can be found here:
http://communications.uwaterloo.ca/macleans.html . Recently, the City of
Waterloo was recognized as being the World's Top Intelligent Community.

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

From: Anton van den Hengel <Anton.vandenHengel@xxxxxxxxxxxxxxx>
Subject: JOB : Postdoc - Australian Centre for Visual Tech - Adelaide, AUS

2-YEAR POSTDOCTORAL POSITION
Australian Centre for Visual Technologies
University of Adelaide
South Australia

Rapid interactive scene modelling from video

Research areas: Computer Vision, Structure from Motion

The successful applicant will join an established and successful team
lead by Dr Anton van den Hengel, Dr Anthony ***, and Prof Philip Torr
and will work on developing methods for rapid interactive scene
modelling from video sequences. The position is initially for 2 years
and will be available from mid 2007.

Project background: The recovery of 3D models from video has for a
number of years been a goal of both the computer vision and graphics
communities. In computer vision, several systems have been developed to
automatically recover a cloud of 3D scene points from a video sequence.
However these are vulnerable to ambiguities in the image data,
degeneracies in camera motion, and a lack of discernible features on the
model surface. These difficulties can be overcome by manual intervention
in the modelling process. In the extreme case, a modelling package such
as Blender3D can used to build a model manually, but it is difficult to
create a photo realistic result by this process. A more appealing option
is to use all of the information that can be derived from the video
using computer vision techniques to inform an interactive modelling
process. The question then arises: how should these interactions be
implemented so they are (a) intuitive to a non-expert user and (b)
powerful and informative to the underlying modelling engine, so that
only a small number of interactions are required?

Applicants should have a PhD in a relevant discipline, with a strong
background in computer vision, in particular in structure from motion
and Bayesian estimation. Strong coding and mathematical skills are also
required. The successful applicant will work as part of a team of
researchers within the Australian Centre for Visual Technologies on
problems in interactive scene modelling.

Salary: From $66,700 to $83,215 (Australian Dollars) negotiable.

Closing Date: 29 June, 2007. Further positions may become available,
however, so applications may be accepted after this date for those
positions.

Informal enquiries and applications may be addressed to
Dr. A van den Hengel, Australian Centre for Visual Technologies
http://www.cs.adelaide.edu.au/~hengel/
University of Adelaide, Adelaide, South Australia 5005, Australia
Anton.vandenhengel@xxxxxxxxxxxxxxx tel +61 8 8303 5309

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

From: Enrico Grosso <grosso@xxxxxxxx>
Subject: JOB : Doctoral Research Fellow - Univ of Sassari - Sassari Italy

University of Sassari, Computer Vision Laboratory
Doctoral Research Fellow

The Computer Vision Laboratory at the University of Sassari invites
applications for a doctoral research fellowship in the area of visual
surveillance and ambient intelligence. Candidates should have a MS
degree in Computer Science, Information Systems, Electronic Engineering
or a closely related field. Additional requirements include two or more
years of experience in programming and a good research record. Ph.D.
strudents, expecting to complete the final degree by January 2008, are
strongly encouraged to apply.

The researcher selected will conduct independent research for _two
years_. A personal start-up package will be assigned, based on the
qualification of the candidate.

*Starting Date*
September 2007

*Salary and Fringe Benefits*
Starting from EUR18.000 / Year. The university offers housing and
additional benefits for eligible appointees, commensurate with
qualification and experience.

*Application Procedure*
Applications must be received _by June 2007

Applicants should submit a short CV to mailto:grosso@xxxxxxxx
or send it to
Prof. Enrico Grosso, DEIR - University of Sassari
Via Torre Tonda, 34 -- 07100 Sassari -- ITALY

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

From: "Li, Shuo (GE Healthcare)" <Shuo.Li@xxxxxx>
Subject: JOB : Postdoc - GE Healthcare - London, ON Canada

GE healthcare at London is a fast growing new group. One new
postdoctoral fellowship is available now.

They will conduct cutting-edge research with leading researchers in GE
Healthcare, the University of Western Ontario (Western), Robarts
Research Institute, Lawson Health Research Institute, and London Health
Sciences Centre (LHSC) in the field of medical image analysis and
visualization. They will also gain opportunities to directly interact
with radiologists for problem definition, solution development, and
validation.

Qualified candidates are encouraged to apply for a Canada NSERC
Industrial R&D Fellowships (IRDF) supported by GE Healthcare. For those
who have obtained an NSERC postdoctoral fellowship, a top up will be
given based on their qualifications.

GENERAL REQUIREMENTS:

We will only consider excellent scholars having degrees (or will have)
from computer science, electrical engineering, computer engineering,
physics, medical biophysics, or an engineering discipline with an
inter-disciplinary background in some of the following areas: image
processing and visualization, computer vision, pattern recognition. They
should have a proven record in research, innovative thinking, real-world
problem solving and fast prototyping.

For consideration, please send a cover letter, CV and three
representative publications to: mailto:Shuo.Li@xxxxxx
Please put the following in the subject: "GE-London-Postdoc".

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

From: Oliver Bimber <bimber@xxxxxxxxxxxxx>
Subject: CFP : 4th IEEE Project-Camera Systems WS - Minneapolis, MN - 18JUN2007

Call for Participation: 4th Projector-Camera Systems (ProCams) Workshop,
with CVPR 2007

IEEE ProCams Workshop 2007: CALL FOR PARTICIPATION

4th IEEE Projector-Camera Systems (ProCams) Workshop
With IEEE Computer Vision and Pattern Recognition (CVPR) 2007
June 18, 2007, Minneapolis, MN
http://www.procams2007.org/

There continues to be growing interest in systems that combine
projection technology with computer vision. Examples include
automatically calibrated display walls, interactive display surfaces,
intelligent environments and performance art. A characteristic of these
systems is their ability to passively sense an environment in support of
real-time control of projected light. Research in this area spans a
number of disciplines including computer vision, computer graphics, HCI
and display technologies. In particular, the theory and techniques used
by researchers in the area are related, sometimes complementarily, to
traditional computer vision techniques employed in stereo-camera and
gesture recognition systems. The goal of this workshop is to bring
researchers from these different areas together and continue fostering a
common research community by examining common research problems and open
issues.

Oliver Bimber, Bauhaus-University Weimar, Germany
Nelson L. Chang, Hewlett-Packard Laboratories, USA
ProCams 2007 General Chairs

A printable version of the schedule is available at
http://www.procams2007.org/

Workshop date: June 18, 2007

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

From: olivier lezoray <olivier.lezoray@xxxxxxx>
Subject: CFP : EURASIP J. ML in IP - 01SEP2007

EURASIP Journal on Advances in Signal Processing
Special Issue on Machine Learning in Image Processing

URL : http://www.hindawi.com/journals/asp/si/mlip.html

Call for Papers

Images have always played an important role in human life since vision
probably is human beings' most important sense. As a consequence, the
field of image processing has numerous applications (medical, military,
etc.). Nowadays and more than ever, images are everywhere and it is very
easy for everyone to generate a huge amount of images thanks to the
advances in digital technologies. With such a profusion of images,
traditional image processing techniques have to cope with more complex
problems and have to face with their adaptability according to human
vision. Vision being complex, machine learning has emerged as a key
component of intelligent computer vision programs when adaptation is
needed (e.g., face recognition) . Among the existing methods, one can
quote neural networks, hidden Markov models, kernel based methods, and
so forth. However, this mainly concerns the computer vision field, the
learning of which emulates high-level vision processes (e.g., visual
information categorization or interpretation). But one can also
incorporate learning in image processing to emulate low-level vision
processes. We can quote edge detection, noise filtering, adaptive
compression, and so on, as such potential issues. With the advent of
image datasets and benchmarks, machine learning and image processing
have recently received a lot of attention. An innovative integration of
machine learning in image processing is very likely to have a great
benefit to the field, which will contribute to a better understanding of
complex images. The number of image processing algorithms that
incorporate some learning components is expected to increase, as
adaptation is needed. However, an increase in adaptation is often linked
to an increase in complexity and one has to efficiently control any
machine learning technique to properly adapt it to image processing
problems. Indeed, processing huge amounts of images means being able to
process huge quantities of data often of high dimensions, which is
problematic for most machine learning techniques. Therefore, an
interaction with the image data and with image priors is necessary to
drive model selection strategies.

The primary purpose of this special issue is to increase the awareness
of image processing researchers to the impact of machine learning
algorithms in low-level tasks. Papers submitted to this special issue
have to carefully address the problem of model selection (features
selection, parameter or hyperparameters estimation) for the machine
learning technique under consideration.

This special issue aims at providing original and high-quality
submissions related, but not limited, to one or more of the following
topics:
* Machine learning in image filtering
* Machine learning in image restoration
* Machine learning in edge detection
* Machine learning in image feature extraction
* Machine learning in image segmentation
* Machine learning in image compression
* Machine learning driven by imaging applications.

Moreover, since image databases created for benchmarking or for training
are crucial for progress in both machine learning and image processing
fields, the evaluation of the submitted papers will take that aspect
into account (accessibility, quality, reproducibility) and the
performance evaluation has to be carefully adressed.

Authors should follow the EURASIP Journal on Advances in Signal
Processing manuscript format described at the journal site
http://www.hindawi.com/journals/asp/ . Prospective authors should submit
an electronic copy of their complete manuscript through the journal
Manuscript Tracking System at http://www.hindawi.com/mts/ according to
the following timetable:
Manuscript Due September 1, 2007
First Round of Reviews December 1, 2007
Publication Date March 1, 2008

Guest Editors:

Olivier Lezoray, Vision and Image Analysis (VAI) Team,Cherbourg Applied Sciences
University Laboratory (LUSAC), 120 Rue de l'Exode, 50000 Saint-Lô, France

Christophe Charrier, Vision and Image Analysis (VAI) Team, Cherbourg Applied
Sciences University Laboratory (LUSAC), 120 Rue de l'Exode, 50000 Saint-Lô,
France

Hubert Cardot, Pattern Recognition and Image Analysis Team, Computer Science
Laboratory (LI), Université François Rabelais de Tours, 64 avenue Jean
Portalis, 37200 Tours, France

Sébastien Lefèvre, Models Images Vision (MIV) Team, Image Sciences, Computer
Sciences and Remote Sensing Laboratory (LSIIT), CNRS and Louis Pasteur
University (Strasbourg), Pôle API, Bd. Brant, BP 10413, 67412 Illkirch, France

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

From: "Sanjiv K. Bhatia" <sanjiv@xxxxxxxxxxxxxxxxxxxx>
Subject: CFP : ISVC 07 WS on Image Databases - 23JUL2007

IMAGE DATABASES
A special track of the INTERNATIONAL SYMPOSIUM ON VISUAL COMPUTING 2007 (ISVC07)

http://www.isvc.net

Image storage and retrieval is one of the hot topics in image processing
community today. The proliferation of digital cameras as well as images
from other sources such as satellites and medical devices has resulted
in large image databases, both public and private. Using these
databases effectively will require development of novel query mechanisms
as well as efficient techniques to retrieve images that may not even be
properly described.

This workshop will facilitate the exchange of ideas in image database
community and general image processing and computer vision community.
The workshop will provide an overview of the state of the art of
research in image databases and explore the use of image processing
techniques to improve the quality of retrieval.

Topics of interest include all aspects of image database organization,
storage, indexing, and retrieval including, but not limited to, the
following areas
* Content-based, text-based, and mixed-mode image retrieval
* Image retrieval in specialized domains (face database, satellite
imagery, medical imagery)
* Novel query mechanisms
* Mathematical models for image retrieval

SUBMISSION/PROCEEDINGS
This is an open call-for-papers. Only original, high-quality papers,
in-line with the ISVC'07 standard guidelines
( http://www.isvc.net/author.html ), will be considered for publication
in this special track. Prospective authors should submit
electronically their contributions through the website of ISVC07.

Accepted papers will appear in the symposium proceedings which will be
published by Springer-Verlag in the Lecture Notes in Computer Science
(LNCS) series.

IMPORTANT DATES
Submission deadline: July 23, 2007
Notification of acceptance: August 24, 2007
Camera-ready version: September 07, 2007
Advance Registration: September 07, 2007

ORGANIZING COMMITTEE
Dr. Bedrich Benes, Purdue University, W. Lafayette, IN, USA, bbenes@xxxxxxxxxx
Dr. Sanjiv Bhatia, University of Missouri - St. Louis, St. Louis, MO, USA,
sanjiv@xxxxxxxxxxx
Dr. Sharlee Climer, Washington University, St. Louis, MO, USA,
sclimer@xxxxxxxxxxxx
Dr. Ashok Samal, University of Nebraska, Lincoln, NE, USA, samal@xxxxxxxxxxx

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End of VISION-LIST digest 26.5
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