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VISION-LIST Digest Volume 12 Issue 25

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VISION LIST Digest
 · 11 months ago

VISION-LIST Digest    Tue Jun 01 16:33:13 PDT 93     Volume 12 : Issue 25 

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Today's Topics:

Moving light displays
Frame grabber
Archive of classical image sequences
Frame grabber
CVPR student housing
CFP: CVPR94
CFP: ECCV94
Machine Learning in Computer Vision
Final CFP : IVCNZ '93
CFP: Image and Video Compression

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

Date: Wed, 26 May 93 15:09:26 EDT
From: kfieldin@afit.af.mil (Kenneth H. Fielding)
Subject: Re: recent attempt to post

MLD's in Ballard and Brown are found in Section 7.3.3 on
pages 214-220.

I am working on an algorithm that recognizes objects from a sequence
of images. I feel recognizing objects in an MLD sense will be
interesting (ie. you can't identifiy the object from any one image but
given the sequence, identification is possible. I am interested in
finding more information of the past application of MLD's with pattern
classification techniques as well as psycophysical experimental
results on the human visual processing of MLD's.

Many Thanks,
Ken Fielding

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

Date: Tue, 1 Jun 93 18:13:41 +0200
From: beaudot@smart.grenet.fr (william)
Subject: Archive of classical image sequences

Hello,

Does anybody know of some archives of classical image sequences used in motion estimation (for example: wheels, caltrain and so on ...) ?

Thanks very much in advance,

William Beaudot beaudot@tirf.grenet.fr
Neuronics Team, Vision Modelling Staff (c) 1993

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

Date: 25 May 93 16:52:02 BST
From: GREENA@ibm3090.bham.ac.uk
Organization: The University of Birmingham, United Kingdom
Subject: Frame grabber

I wonder if anyone out there knows anything about the CORTEX-1
frame grabber board.

Our supplier seems loth to include the C-library described as "included"
in the specification sheet for free, so I'm looking for another source.

Any ideas? (Or does anyone know of a 512x512 board which I can run
several of simultaneously in one PC?)

All the very best,

Allan Green
"But who watches the watchmen?"

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

Date: Mon, 24 May 1993 17:40:32 -0400
From: the.CVPR.account@cs.columbia.edu,
Subject: CVPR student housing


If you are interested in student housing send mail asap, the deadline
is past but I may still be able to get rooms.

Mail in this account will be read approximately weekly. Your mail regarding
"Re: CVPR reminder" will be read sometime. Here is the list of files that out can ftp
from cs.columbia.edu (internet node 128.59.16.20) in the directory
/pub/vision/CVPR93

Paper copies of advance program were already sent out.

CVPR specific:
CVPR-info.txt Text form with some general info
adv-program.ps list of talks/presentations/posters...
adv-reg-form.ps Page with just reg-form (no student/hotel)
adv-reg-info.ps Advance info including reg-form
+ student housing /misc/hotel info

Other info:

NY-area-beaches-via-public-tran.txt
NYC-weather-june
banks-in-CU-area.txt
bookstores-nyc.txt
childcare-in-CU-area.txt
file-list
hotels-in-CU-area.txt
how-to-get-to-CU.map
manhattan-addr.locator
parking-in-CU-area.txt
places-of-worship-in-CU-area.txt
post-offices-in-CU-area.txt
steet-address-of-CUCS.txt

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

Date: Mon, 31 May 93 14:14:30 EDT
From: Dr Kevin Bowyer <kwb@tortugas.csee.usf.edu>
Subject: CFP: CVPR94


CALL FOR PAPERS

IEEE Conference on Computer Vision & Pattern Recognition

The Westin Hotel --- Seattle, Washington --- June 20-23, 1994

PROGRAM CO-CHAIRS:
Linda Shapiro Steve Tanimoto
Department of Computer Department of Computer
Science and Engineering, FR-35 Science and Engineering, FR-35
University of Washington University of Washington
Seattle, Washington 98195 Seattle, Washington 98195
shapiro@cs.washington.edu tanimoto@cs.washington.edu

GENERAL CHAIR:
Kevin Bowyer
Department of Computer
Science and Engineering
University of South Florida
Tampa, Florida 33620
kwb@csee.usf.edu

THE PROGRAM:
The program will consist of invited talks, panels, and the highest quality
previously unpublished contributed papers on all aspects of computer vision
and pattern recognition, including but not limited to:

Physics of image formation Segmentation and perceptual grouping
Low-level processing Shape and object representation
Pattern analysis Object recognition
Texture analysis Active and real-time vision
Motion analysis and stereo Parallel architectures and algorithms
Integration of modules and cues Medical computer vision
Qualitative vision Learning in computer vision
CAD-based vision Vision-guided robotics
Multi-sensor perception Systems and applications

PAPER SUBMISSION:
Four copies of complete manuscripts should be received no later than November 12,
1993 by the program co-chairs at the address:
CVPR '94
Department of Computer Science and Engineering, FR-35
University of Washington / Seattle, Washington 98195
By submitting a paper to CVPR, the author(s) warrant that it (and any related
paper with essentially the same technical content) has not been and will not
be submitted to any other conference during the CVPR review period.

The manuscript should include the following (in this order):
I. A Title Page -- Containing the names and addresses of the authors (including
e-mail), an abstract of up to 200 words, and one or more categories listed
above or other keywords that can be used to match submissions to reviewers.
II. A Second Title Page -- With just title and abstract (authors and institution
not identified).
III. A Summary Page -- Attach answers to the following questions (please answer
each separately):
(1) What is the original contribution of this work?
(2) Why should this contribution be considered important?
(3) What is the most closely related work by others
and how does this work differ?
(4) How can other researchers make use of the results of this work?
IV. Paper -- No more than 30 pages (double-spaced, 12 point type) including
text, figures, references, etc.

As is customary with CVPR, reviewing will be double blind.

LOCAL ARRANGEMENTS CHAIR:
Charlotte Lin, Boeing Defense and Space Group, Seattle, Washington 98124-2499

TUTORIALS CHAIR:
Dmitry Goldgof, Computer Science \& Engineering, University of South Florida,
Tampa, Florida 33620


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

Date: Tue, 25 May 1993 12:26:33 +0200
From: Tomas.Uhlin@bion.kth.se
Subject: CFP: ECCV94

*****************************************
********** **********
********** Call for Papers **********
********** ECCV 94 **********

Third European Conference on Computer Vision
2-6 May 1994, Stockholm, Sweden

*****************************************


The Third European Conference on Computer Vision is an international
conference devoted to recent research in computer vision. The conference
is arranged by appointment of the European Vision Society and supported
by KTH, The Royal Institute of Technology.

Contributions are sought on new research on any aspect of computer vision.
All papers will be reviewed by members of the Program Committee. Accepted
papers will be presented as long papers, short papers, or posters in a
single track.


Four copies of full length papers should be submitted to:

Prof. Jan-Olof Eklundh
KTH, NADA
S-100 44 Stockholm, Sweden


Deadline for paper submission 25 October 1993
Notification of acceptance mid December
Deadline for Camera-Ready Copy 1 February 1994


The papers submitted for review should

include a title page containing the title of the contribution,
the name(s) and address(es) of the author(s), an abstract no
longer than 200 words, and keywords characterizing the contribution

include a second anonymous title page

be no longer than 25 pages (including both title pages, figures
and references) and must not contain more than 10000 words.


Papers that do not fulfill these conditions may be returned without further
review. Correspondence will be addressed to the first author.


The proceedings are published by Springer-Verlag in the series ``Lecture
Notes in Computer Science''. A selection of the best papers will be
published in a special issue of Image and Vision Computing Journal.


Prof. Jan-Olof Eklundh
KTH, NADA
S-100 44 Stockholm, Sweden
Tel: +46--8 790 81 61
Fax: +46--8 723 03 02
Email: eccv94@bion.kth.se

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

Date: Mon, 31 May 93 14:01:29 EDT
From: Dr Kevin Bowyer <kwb@tortugas.csee.usf.edu>
Subject: Machine Learning in Computer Vision


AAAI FALL SYMPOSIUM SERIES

MACHINE LEARNING IN COMPUTER VISION: WHAT, WHY and HOW?

October 22-24, 1993 Raleigh, North Carolina

This symposium will bring together researchers from different specialties
in machine learning and computer vision to address issues raised by
examining the use of machine learning in computer vision:

what elements of a computer vision system might be learned
rather than hand-crafted by the designer?

what machine learning paradigms are appropriate to the computer vision
domain (especially across the signal to symbol transition)?

why or how would learning improve the performance / efficiency / ...
of computer vision systems?

how do we go about implementing / exploiting the machine learning
paradigms which seem most appropriate to the computer vision domain?


One of the acknowledged problems with computer vision systems is that they
tend to be hand-crafted application-specific efforts that embody or reflect
rather little in the way of general principles which can adapt easily from
one application environment to another. While some in the computer vision
field are currently reconsidering the goal of "general purpose vision systems"
as possibly too difficult and/or not relevant, there is still the clearly
motivated desire to learn something from the experience in creating a vision
system for one application domain that can be used to make it easier to create
the next vision system.

Since much of the effort in creating a vision system often lies in creating
a database of examples and facts, and in tuning the parameters and operations
of the system to the application domain, learning techniques may be of use in
addressing this problem. However, it is not yet clear what learning
capabilities computer vision systems should have, why these capabilities
should result in computer vision systems that display greater competence and
generality, or how to go about building vision systems that incorporate
learning capabilities.

The images and/or the outputs of low-level image processing operations
tend to be noisy, making it difficult to get "true" segmentation of
images and so unreasonable to assume that the transition from image
signal to symbol is made completely and correctly. Also, large
numbers of exactly labeled examples suitable for inductive learning
are generally not available. There is often some domain knowledge
available and some clear examples, perhaps suggesting a multi-paradigm
learning approach.


Format: The workshop will contain both invited and submitted papers. There
will be several longer talks by invited experts with a number of short
talks. In all cases an emphasis will be on interactive discussion of issues.
One panel will be held on the obstacles to applying learning to vision and
promising approaches. Panel suggestions are encouraged and may be given to any
program committee member. There will be a poster session to encourage
broad participation and discussion.

To present a paper or poster, please submit an extended abstract of 3-5
pages by June 4, 1993. Submission may be by electronic mail (Ascii, latex
or postscript) to:
hall@csee.usf.edu or kwb@csee.usf.edu or by hard copy to:
AAAI-fall workshop
Deparment of Computer Science and Engineering, ENG 118
4202 E. Fowler Ave.
University of South Florida
Tampa, Fl. 33620

Notification of acceptance will be July 10, 1993. Hard copies of final papers are
due August 20, 1993. If you wish to attend the workshop without presenting, please
submit a short supporting statement.


Organizing Committee:

Kevin Bowyer Tom Mitchell
Computer Science and Engineering Department of Computer Science
University of South Florida Carnegie-Mellon University
(kwb@csee.usf.edu) (Tom.Mitchell@cs.cmu.edu)

Chris Brown Larry Rendell
Department of Computer Science Department of Computer Science
University of Rochester University of Illinois
(brown@cs.rochester.edu) (rendell@hal.cs.uiuc.edu)

Bruce Draper Dean Pomerleau
Computer and Information Sciences Department of Computer Science
University of Massachusetts Carnegie-Mellon University
(bdraper@vax2.cs.umass.edu) (pomerlea@pomerlea.boltz.cs.cmu.edu)

Lawrence Hall
Computer Science and Engineering
University of South Florida
(hall@csee.usf.edu)


Symposium Chairs:

Lawrence O. Hall and Kevin W. Bowyer
Department of Computer Science and Engineering
University of South Florida
Tampa, Florida 33620

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

Date: Wed, 26 May 93 16:49:24 NZS
From: michael@auck.irl.cri.nz (Michael Rygol)
Subject: Final CFP : IVCNZ '93

SECOND ANNOUNCEMENT AND FINAL CALL FOR PAPERS

IVCNZ '93

Image and Vision Computing New Zealand

16-18 AUGUST 1993


New Zealand's first Image and Vision Computing Conference will be held
in Auckland from 16-18 August 1993.

The Conference will provide a forum for image computing professionals,
researchers and students to exchange up-to-date technical knowledge and
experience, focusing on both theory and applications.

The Conference will be held in the University of Auckland Conference Centre.
There will be a Trade Display accompanying the technical sessions, and several
keynote addresses by international speakers are planned.
In view of the large number of papers expected, some will be presented as
posters with a special time set aside for delegates to speak to poster
presenters.

Abstracts describing original work in the areas of image and vision computing
techniques and applications are invited. Suitable topics include:

* Image understanding
* Remote sensing
* Industrial inspection
* Image processing
* Medical imaging
* Image coding and transmission
* Architectures for image computing

Submission Procedures :

Abstracts of approximately 200 words must be written in English
and submitted by 4 June to the address given below. Please include
in the forwarding letter the information requested at the end of this
article.

Participants will be required to register upon notification of acceptance
of their papers. Papers will be published in the Conference proceedings only
if at least one of the authors is officially registered. The length of
the final paper in the proceedings will be limited to a max of 6 pages
including figures, tables and references.

Trade Exhibits :

Exhibitors wishing to display products related to the IVCNZ theme are
invited to contact the Organising Committee. Further information is
available upon request.

For further details and notes for authors please contact:

Dr Chris Bowman,
Industrial Research Limited,
P.O. Box 2225,
Auckland 1,
New Zealand

Tel: +64 9 303-4116
Fax: +64 9 307-0618
E-Mail: ivcnz@auck.irl.cri.nz

AUTHOR'S SCHEDULE :

4 June 1993 Receipt of abstract
18 June 1993 Notification of acceptance
20 July 1994 Receipt of camera ready manuscript

ORGANISERS:

Industrial Research Limited, Auckland, New Zealand

Name for correspondence:
Author(s):
Organisation:
Address:
Phone:
Fax:
Email:
Broad classification of submission:
Preference: Paper/Poster (delete one)
Abstract title:
Abstract text:

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

Date: 27 May 93 16:24:59 GMT
Organization: AT&T Bell Laboratories, Murray Hill NJ
Subject: CFP: Image and Video Compression


CALL FOR PAPERS: IMAGE AND VIDEO COMPRESSION

Part of IS&T/SPIE Symposium on Electronic Imaging: Science & Technology
San Jose Convention Center, San Jose, California, February 6-10, 1994

Recent advances in digital image acquisition and reconstruction
technology, couples with breakthroughs in the
price/performance of digital hardware and firmware, have
resulted in an ever increasing need for storage and
transmission of digital images. Diverse applications include
consumer imaging, facsimile transmission, image archiving,
remote sensing, medicine, broadcasting, entertainment,
education and video teleconferencing.

Image compression refers to the techniques that aim at
reducing the redundancy of the image data to save storage
space, transmission time, channel capacity, or to improve data
access rate.

This conference serves as a forum where advances in digital
image compression techniques and associated software and
hardware implementations can be presented and discussed.

Papers are solicited in the following areas:

* noiseless coding applied to image data (arithmetic
coding, LZW coding, etc.)

* lossless image compression algorithms

* lossy compression of still and sequential
continuous-tone images

* algorithms for the compression of bilevel images

* image compression standards (JPEG, MPEG, JBIG, HDTV,
Photo-CD, etc.)

* VLSI, hardware, and software implementation of image
compression algorithms

* systems issues involving image compression (rate
control, manipulation of compressed bitstreams, integration
with other media, etc).

Conference Chairs:
Majid Rabbani, Eastman Kodak Company
Bob Safranek, AT&T Bell Laboratories


Program Committee:

Charles Bouman, Purdue University
David Neuhoff, University of Michigan
Mike Orchard, Universitry of Illinois
Amy Riebman, AT&T Bell Laboratories
Eve Riskin, University of Washington


INSTRUCTIONS FOR AUTHORS

Each paper will be reviewed by members of the program committee. The
deadline for paper submissions is 12 July 1993. Please submit four copies
by mail, or one copy by email or fax, of a 500 word (or greater) summary
and other requested information to:

IS&T/SPIE EI94
Digital Video Compression and Processing on Personal Computers
P.O. Box 10
Bellingham, WA 98227-0010 USA

Shipping address: 1000 20th St., Bellingham, WA 98225

Telephone: (206) 676-3290
Telefax: (206) 647-1445
Internet abstracts@mom.spie.org

Please include the following information:

1. Title of Paper
2. Authors' full names, affiliations, address, phone, fax and email
3. Include a sentence indicating that the paper is intended for the
Image and Video Compression conference
4. Summary text (500 words or greater)
5. Authors' Biographies

The Conference Chairs and Program Committee will select the best papers
for the conference.

Bob Safranek
rjs@research.att.com


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

End of VISION-LIST digest 12.25
************************

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