VISION-LIST digest 26.4
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Today's Topics:
Q&A : CBIR matlab code
JOB : SW Eng - OMG - Oxford, UK
JOB : Algorithm Eng - Ziosoft - Redwood City, CA USA
JOB : Research Sci/Eng - ffA - UK
JOB : Scientist - Oak Ridge National Lab - Oak Ridge, TN USA
JOB : Postdoc - ASU - Tempe, AZ, USA
JOB : PostDoc - Univ of Amsterdam - The Netherlands
JOB : Postdoc - Univ of Penn - Philadelphia, PA USA
CFP : Special Issue on PR for Digital IP&PR - 01DEC2007
CFP : ISVO7 Special Tracks - Lake Tahoe NV/CA - 26-28NOV2007
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From: alaa_...@yahoo.com
Subject: Q&A : CBIR matlab code
hi everyone, i was hoping if anyone can send a MATLAB code of content
based image retrieval concerning an image's color, texture and shape.
------------------------------
From: "Geoffrey Cross" <geoffre...@geospatialvision.com>
Subject: JOB : SW Eng - OMG - Oxford, UK
OMG Algorithms Engineer / Software Developer
OMG plc is a leading technology company working in motion capture,
camera tracking and a variety of video analysis applications. The OMG
subsidiary companies ViconPeak, 2d3 and Geospatial Vision sell products
into a variety of markets including medical, visual effects, design, VR,
sports science and the mapping industry. In recent years Vicon and 2d3
products have been used in almost every major feature film and many
games and TV commercials. The company has offices in Oxford, LA &
Denver.
An algorithms engineer / software developer is sought to join the
Geospatial Vision product team to work on existing and new products in
the Oxford office.
JOB DESCRIPTION
* Development of advanced computer vision algorithms for use on customer
problems.
* Engineer algorithms in C++ within a large system of algorithm code.
* Support the development of highly interactive Windows products.
* Support the commercial and development activities of Geospatial Vision
Ltd.
REQUIREMENTS
* Masters in Computer Science or Engineering preferably with some knowledge
in Computer Vision or a related area.
* Highly proficient in C++.
ATTRIBUTES
* Good communication skills, motivated team player.
* Responsible and self directed on short and medium term goals
* Flexible: an ability to recognise the need to do something and do it
* Experience of developing or using complex and highly interactive products
in areas such as 3D graphics, CAD, games, image processing, video.
COMPANY
* Oxford based, high tech company
* Relaxed and friendly culture
* Worldwide markets with UK and US offices
CONTACT
To apply please send CV by e-mail to Geoff Cross
mailto:jo...@geospatialvision.com
------------------------------
From: "Gary Zhang" <gzha...@gmail.com>
Subject: JOB : Algorithm Eng - Ziosoft - Redwood City, CA USA
Ziosoft (www.ziosoftinc.com) is an innovative pre-IPO medical software
company with state-of-the-art 3D volumetric processing and visualization
technologies.
JOB DESCRIPTION:
The role of an algorithm engineer is to gather requirements from doctors
and clinicians and then to design and implement algorithms for
extracting information from CT and MR data. Specifically, the algorithm
engineer will design, implement and optimize algorithms for 3D
volumetric image processing on x86 multi-core processors. The successful
candidate must have a background in image or signal processing algorithm
development, preferably in the medical imaging, CT and MR areas. This
engineer shall have excellent communication skills in gathering clinical
requirements, producing algorithm specification and supporting clinical
evaluations.
Location: Redwood City, CA
Required Skills:
- Outstanding skills in developing highly optimized image and signal
processing algorithms.
- Significant skills in design and complexity analysis of algorithms
for processing large volumetric data.
- Strong software programming skills with Microsoft Visual C++ and STL.
- Clear communication, software design, unit test and documentation
skills.
- Self-motivated and independent with a strong work ethic.
Required Experience:
- Significant experiences with software development for x86 CPU and
computer architecture.
- Direct knowledge of SIMD concepts and hands on experiences with
software parallelization.
- Industrial R&D and software development in a team environment.
Education:
- Master (preferred) or PhD Degree in CS, EE, Math or related fields.
To Apply:
Please send your resume with cover letter to
mailto:rec...@ziosoftinc.com
------------------------------
From: "Stephen Purves" <st...@ffa.co.uk>
Subject: JOB : Research Sci/Eng - ffA - UK
ffA requires an Scientist / Engineer to join its development team in
Newcastle upon Tyne, UK.
ffA is an independent provider of world leading automated 3D seismic
volume interpretation software and services to the oil and gas industry.
ffA's IPA algorithm and workflow R&D programme has introduced some of
the most powerful, cutting edge 3D seismic analysis tools available in
the Oil and Gas industry today. This role offers an opportunity to get
involved in stimulating and intellectually challenging research work in
a small, world class organisation.
The scope of ffA's research programme is wide and the role will involve
extending and enhancing current techniques, adapting state of the art
techniques from other fields and working closely with ffA's research
partners to develop novel algorithms.
To apply, send a CV and covering letter to: mailto:car...@ffa.co.uk
A full description of the role and information on ffA technology can be
found on the ffA website:
http://www.ffa.co.uk/download/IPA_scientist_07.pdf
http://www.ffa.co.uk/
Closing date for applications is 15th June 2007
------------------------------
From: "Bird, Toynette" <Toynet...@orau.org>
Subject: JOB : Scientist - Oak Ridge National Lab - Oak Ridge, TN USA
Analysis of Large Text and Image Corpra
Computational Sciences and Engineering Division
Oak Ridge National Laboratory, Oak Ridge, Tennessee
PROJECT DESCRIPTION:
The Computational Sciences and Engineering Division at the Oak Ridge
National Laboratory (ORNL) seeks candidate for postdoctoral position to
see and explore future concepts in the analysis of large text and image
corpra. This will require a good understanding of several key research
areas, such as composite correlation filters, automated target
recognition, and general image analysis techniques. A successful
candidate will have the ability to quickly understand a sponsor’s need,
translate this into a research question and hypothesis, create
experiments and prototype software to evaluate the new research
concepts, present the research to the sponsor, publish the results at
top conferences and journals, secure and increase funding in your
research areas, and to collaborate with renowned experts in your field.
Qualifications:
The position requires a Ph.D. in Computer Engineering or Electrical
Engineering. Initial appointment is for one year. Applicants cannot have
received the most recent degree more than five years prior to the date
of application and must complete all degree requirements before starting
their appointment. This position is available immediately and
applications will be accepted until position is filled.
How to Apply:
For immediate consideration, please see the Web site for postings and links
to the online application http://www.orau.gov/orise/edu/ornl/postneeds.htm
(which is linked to http://jobs.ornl.gov ). Please reference the position
title and number (ORNL07-35-CSED) when applying to this position.
This appointment is offered through the ORNL Postdoctoral Research
Associates Program and is administered by Oak Ridge Associated
Universities (ORAU). This appointment is open to all qualified U.S. and
non-U.S. citizens who currently work in the U.S and are available for
interview, without regard to race, color, age, religion, sex, national
origin, physical or mental disability, or status as a Vietnam-era
veteran or disabled veteran.
------------------------------
From: "Gang Qian" <gq...@mainex1.asu.edu>
Subject: JOB : Postdoc - ASU - Tempe, AZ, USA
Research Associate Position in Multimodal Human Movement Analysis
Arizona State University, Tempe, AZ
The Arts, Media and Engineering Program (AME) ( http://ame.asu.edu ),
at the Fulton School of Engineering and the Herberger College of Arts, at
Arizona State University announces an opening for a research associate at
the postdoctoral level in the area of multimodal human movement
analysis.
AME, a nationally leading program in the development of experiential
media, has received an NSF infrastructure grant for the development of
an Interdisciplinary Research Environment for Motion Analysis (IREMA).
The goal of IREMA is to create multimodal sensing and feedback
environments for human motion analysis and movement-based interactive
applications. IREMA fully combines and facilitates movement related
research in computer vision, human computer interaction, bioengineering,
psychology, dance, sports medicine, professional training and education.
Ongoing applications of IREMA research are in the areas of biofeedback
for rehabilitation, interactive data navigation and mediated K-20
science education. Currently, IREMA infrastructure includes a
marker-based 16-camera Eagle system from Motion Analysis Corporation, a
large area pressure sensitive floor developed by the program, video
camera and microphone arrays, as well as various sets of inertial and
physiological sensing devices. Interactive, surround image and sound as
well as tangible feedback systems are integrated with the sensing
systems.
The movement Research Associate appointee will be expected to contribute
in the following ways:
* Expand current work on computer vision based motion analysis
* Develop algorithms and build multi-sensor fusion systems for the
creation of customized, robust multimodal movement analysis: fusion of
vision based motion analysis with RFID, pressure, inertial, audio, ultrasound
and physiological sensors
* Integrate multimodal movement sensing systems into large-scale
interactive environments for rehabilitation, data navigation, interactive
arts, and K-20 education.
Required Qualifications:
* Ph.D. in Computer Science or Electrical Engineering or closely related
field with a proven research record in movement sensing and analysis.
Desired Qualifications:
* Working experience in developing vision-based movement sensing systems
* Evidence of work in developing pattern recognition systems
* Experience in multimodal movement sensing and sensor fusion
* Strong theoretical and applied background in statistics, multiple view
geometry, machine learning and pattern recognition
* Experience in research with interdisciplinary teams
* Effective communication skills
* Strong programming knowledge using C++ or Matlab
This is a twelve month appointment, renewable annually for up to three
years based on performance. The anticipated start date is August 16th, 2007.
Salary is competitive and commensurate with experience. For more
information about this position please write to: mailto:mhm...@asu.edu
Application Procedure: Please send a letter of interest, research
statement consistent with areas of contribution listed above, CV,
representative publications and other supporting materials and names,
addresses and telephone numbers for three professional references to:
Motion Analysis Research Associate Position, AME, P. O. Box 878709,
Tempe, Arizona 85287-8709, or email the application package directly to:
mailto:mhm...@asu.edu
Application Deadline: May 25, 2007; if not filled, every TWO weeks
thereafter until the search is closed.
------------------------------
From: dariu....@daimlerchrysler.com
Subject: JOB : PostDoc - Univ of Amsterdam - The Netherlands
POST-DOCTORAL RESEARCHER IN COMPUTER VISION (2+ years),
UNIV. OF AMSTERDAM
The Intelligent Autonomous System (IAS) Group of the University of
Amsterdam, The Netherlands, has an immediate opening for a Post-Doctoral
Researcher in the area of computer vision and temporal data modelling.
The open position in the CASSANDRA project considers the topic of
video-based human activity recognition in dynamic and cluttered
environments. The particular application context is aggression detection
in surveillance, but generality to other application scenarios is
desirable. Issues such as learning human appearance and motion, use of
low-level features vs. 3D body pose recovery, tracking and movement
classification are to be addressed. CASSANDRA furthermore investigates
the fusion of video and audio information, and the role of context
modelling. A unique realistic data set collected at a train station with
professional actors and multiple synchronized cameras and microphones is
available.
We are looking for a highly motivated individual with an (existing or
soon-expected) Ph.D. in the domain of computer vision and pattern
recognition, preferably in the "Looking at People" area. The successful
applicant will have a proven track record and be comfortable in
formulating and pursuing research goals independently. The candidate
will furthermore have good communication skills and able to collaborate
effectively with other members of a research team. A certain affinity
towards turning complex techniques into real-world practice (with the
associated strong programming skills) is important. Good English skills
are essential.
The open position involves an interesting research domain that provides
rich publication potential. The Post-Doctoral Researcher will lead one
or more PhD students and possibly several MS students, amplifying
his/her impact. The University of Amsterdam hosts an internationally
recognized vision group which offers ample opportunities for technical
exchange, see http://www.science.uva.nl/research/isla/
Funding for this 2-year post-doctoral position is provided by the Dutch
Science Foundation NWO. Monthly salary ranges from EUR 2708 to EUR 3442
(brutto) depending on experience. Funding prospects after 2 years are
very good.
Inquiries are welcome. Prospective applicants please email
- cover letter (explaining suitability)
- resume
- copy of academic record
- references and
- supporting materials, e.g. Ph.D. Thesis (draft), publications
to
Prof. Dr. D.M. Gavrila, Intelligent Perception Systems
Faculty of Science, University of Amsterdam
mailto:Gav...@science.uva.nl
See also http://www.gavrila.net
------------------------------
From: "Verma, Ragini" <Ragini...@uphs.upenn.edu>
Subject: JOB : Postdoc - Univ of Penn - Philadelphia, PA USA
The Section of Biomedical Image analysis (SBIA) has an immediate opening
for a person interested in diffusion tensor MRI (DT-MRI). The project
involves algorithmic development in the analysis of DT-MRI data -
emphasizing on registration and high dimensional group statistics, with
application to clinical problems. The candidate must have a good
background in math and computer science and should have a PhD in
mathematics, computer science, computer vision, electrical and
biomedical engineering or a related field. Past experience in DT-MRI is
a plus.
SBIA has been a dynamically growing medical image analysis group,
including researchers and many collaborators from diverse fields and
offers diverse opportunities to researchers with interests in applying
math and engineering knowledge and models to the rapidly growing
biomedical imaging field. More details about SBIA can be found at
http://www.rad.upenn.edu/sbia
Interested candidates should write to:
Ragini Verma, Assistant Professor at mailto:Ragini...@uphs.upenn.edu
thanks, ragini
Ragini Verma, Ph.D., Assistant Professor, Research
Section of Biomedical Image Analysis, Department of Radiology
Univ of Pennsylvania, 3600 Market St. Suite 380, Philadelphia, PA 19104
Tel : 215 662 7471, Fax : 215 614 0266
mailto:Ragini...@uphs.upenn.edu
http://www.rad.upenn.edu/sbia/rverma
------------------------------
From: "Jinshan Tang" <jt...@alcorn.edu>
Subject: CFP : Special Issue on PR for Digital IP&PR - 01DEC2007
Call for Papers
Special issue of Pattern Recognition on Digital Image Processing and
Pattern Recognition Techniques for the Detection of Cancer Cancer is the
second leading cause of death for both men and women in the world, and
is expected to become the leading cause of death in the next few
decades. The detection of cancer has become significant areas of
research activity in the image processing and pattern recognition
community. Modern imaging technology has already had lifesaving effects
on our ability to detect cancer early and diagnose the disease more
accurately. However, in order to improve further the efficiency and
veracity of diagnoses and treatment, image processing and pattern
recognition technologies have been widely applied to analysis and
recognition of cancer, evaluation of the effectiveness of treatment, and
prediction of the development of cancer.
The aim of this special issue is to bring together researchers working
on image processing and pattern recognition techniques for the detection
of cancer, and to promote research in image processing and pattern
recognition for oncology. Papers are solicited for the special issue in
the following specific area: Segmentation and feature extraction
techniques for quantitative analysis of cancer cells and tumors.
Manuscripts should conform to the standard guidelines of Pattern
Recognition. Instructions for formatting papers can be found in the
“Guide for authors at
http://www.elsevier.com/wps/find/journaldescription.cws_home/328/authorinstructions
Prospective authors should submit an electronic file of their complete
manuscript online via the electronic Elsevier system (EES) at
http://ees.elsevier.com/pr/ . or E-mail the papes to Dr. Jinshan Tang
at mailto:jt...@alcorn.edu All submitted papers will be reviewed by at
least three independent reviewers.
IMPORTANT DATES:
Full paper due: Dec. 1, 2007
First notification:Feb. 1, 2008
Revised manuscript (for second review) due:March 15, 2008
Acceptance Notification :April 15, 2008
Final manuscript due:May 15, 2008
Publication of the special issue: Dec. 2008
GUEST Editors:
Dr. Jinshan Tang, Image processing and Bio-imaging Research Laboratory,
System Research Institute, Alcorn State University, MS, USA
mailto:jt...@alcorn.edu
Dr. Raj Rangayyan, Department of Electrical and Computer Engineering,
Schulich School of Engineering, University of Calgary, Alberta, Canada
mailto:ra...@enel.ucalgary.ca
Dr. Jianhua Yao, Diagnostic Radiology Department,
Clinical Center, National Institute of Health, MD,USA
mailto:JY...@cc.nih.gov
Dr. Yongyi Yang, Dept. of Electrical and Computer Engineering,
Illinois Institute of Technology, Chicago, USA
mailto:y...@ece.iit.edu
------------------------------
From: Nektaria Kalykaki <ad...@isvc.net>
Subject: CFP : ISVO7 Special Tracks - Lake Tahoe NV/CA - 26-28NOV2007
CALL FOR PAPERS
3rd International Symposium on Visual Computing (ISVC07)
November 26-28, 2007
Lake Tahoe, Nevada/California
*** Special Tracks ****
IMPORTANT DATES
Deadline for paper submission: July 23, 2007
Notification of acceptance: August 24, 2007 (Parallel to ISVC07)
ST1: Intelligent Algorithms for Smart Monitoring of Complex Environments
Organizers:
Paolo Remagnino, DIRC, Kingston University, UK
Dorothy Monekosso, DIRC, Kingston University, UK
How-Lung Eng, IIR, Singapore
Yau Wei Yun, IIR, Singapore
Guoliang Fan, Oklahoma State University, USA
Yunqian Ma, Honeywell Labs, USA
ST2: Object Recognition
Organizers:
Andrea Selinger Salgian, The College of New Jersey, USA
Fabien Scalzo, University of Nevada, Reno, USA
ST3: Image Databases
Organizers:
Sanjiv K. Bhatia, University of Missouri-St. Louis, USA
Ashok Samal, University of Missouri-St. Louis, USA
Bedrich Benes, Purdue University, USA
Sharlee Climer, Washington University in St. Louis, USA
ST4: Algorithms for the Understanding of Dynamics in Complex and Cluttered
Scenes
Organizers:
Paolo Remagnino, DIRC, Kingston University, UK
Fatih Porikli, MERL, USA
Larry Davis, University of Maryland, USA
Massimo Piccardi, University of Technology Sydney, Australia
ST5: Multi-dimensional Medical Data Analysis, Visualization and Transmission
Organizers:
Irene Cheng, University of Alberta, Canada
Guido Gortelazzo, University of Padova, Italy
Kostas Daniilidis, University of Pennsylvania, USA
Pablo Figueroa, Universidad de los Andes, Colombia
Tom Malzbender, Hewlett Packard Lab., USA
Mrinal Mandal, University of Alberta, USA
Lijun Yin, State University of New York at Binghamton, USA
Karel Zuiderveld, Vital Images Inc., USA
ST6: Soft Computing in Image Processing and Computer Vision
Organizers:
Gerald Schaefer, Nottingham Trent University, UK
Mike Nachtegael, Ghent University, Germany
Lars Nolle, Nottingham Trent University, UK
ST7: Trends In Development of Visual Computing Applications
Organizers:
Pablo Figueroa, Universidad de los Andes, Colombia
Laura Monroe, Los Alamos National Lab, USA
Laura Arns, Purdue University, USA
------------------------------
End of VISION-LIST digest 26.4
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