CFP: IEEE Workshop on Face Processing in Video - June 26, 2004

Call for Papers
---------------

First IEEE Workshop on Face Processing in Video
(FPIV'04)

in conjunction with

IEEE International Conference on Computer Vision and Pattern Recognition
(CVPR'04)

Washington, D.C., USA
June 26- June 27, 2004


Conference web-site: http://www.visioninterface.net/fpiv04


Aims and scope

Face processing is an area of research dedicated to the extraction and
manipulation of information about human faces. It deals with such problems
as
face detection, tracking, recognition, coding, etc. as well as their
applications.

Video is becoming ubiquitous and very affordable, and there is growing
demand on
vision-based human-oriented applications, ranging from security and industry
for
disabled to computer-human interaction and video annotation. Therefore, more
and
more research effort is being put on face processing in video, which is very
different from face processing in still imaginary in terms of the nature of
data
processed.

On one hand, because of real-time, bandwidth and environmental constraints,
video images are of rather modest resolution and quality, as compared to
photo-images. On the other hand, such a seeming deficiency of video is
compensated by the abundance of images due to the dynamic nature of video.
Video
processing and understanding also has many parallels with biological vision,
which provides additional insights and solutions to the problem.

Therefore, it is important to develop approaches other than those developed
for
still imagery which would make use of the advantages of video for face
processing. With this goal in mind, the FPIV'04 workshop is aimed at
providing a
forum for scientists from different backgrounds: biological vision, computer
vision, pattern recognition, machine learning, HCI, etc. - to share their
experiences and discuss the problems, solutions and applications of Face
Processing in Video.

The workshop will consist of one day of oral presentations and a talk from
an
invited speaker on a synergy of biological and computer vision.


Paper submission

Although any paper analyzing video for the presence of information about
faces
may be submitted, the preference will be given to those papers which clearly
indicate in the abstract a) the research areas of the paper and b) what the
paper contributions are. Application-oriented papers are as much welcome as
theoretical papers.

The suggested research areas are listed below, but other topics dealing with
the
face in video scenario are welcome.

            neurobiological and neurocomputational approaches to visual
perception and recognition
            synergy between biological and computer vision
            face segmentation and detection in video
            face tracking and multiple faces tracking
            face memorization, classification recognition from video
            face biometrics and face modeling, 3d face models
            facial features for tracking and recognition
            face representation, canonical face models, face in video
databases
            face synthesis and mimicking
            facial expression recognition and classification, and
representation
            fusing different modalities of video information (motion,
colour, intensity)
            performance evaluation for face in video problems
            face detection/tracking/recognition in multicamera setups
including stereo
            face detection/tracking/recognition in panoramic video
            combining video and audio for speaker face
detection/tracking/recognition
            face-based multi-media, games, and computer-human interaction
            perceptual face-controlled interfaces
            face processing for video-conferencing
            face processing for avatars and computer-generated communication
programs
            face processing for immersive and collaborative environments
            face processing for industry for disabled
            face processing for augmented and virtualized reality
            face processing for security and surveillance
            face processing for encoding and annotating video

Papers should not exceed 6 double-column pages. Only original manuscripts
will
be considered. Dual submission with CVPR is not permitted.  Instead, if a
relevant paper on object tracking, recognition etc has been submitted to
CVPR, a
related, but focused on the face as of an object of interest and video as of
a
media can be submitted to the workshop.  This policy is intended to
encourage
participation from authors whose papers are accepted in CVPR as well as
those
that are not.

Reviewing will be blind circular.  By submitting a paper, each author agrees
to
review at least 3 other submissions.  This procedure has produced quality,
useful reviews in previous CVPR workshops.  As reviewers, authors must
comply
with the reviewing schedule below.  In addition, each paper will be reviewed
by
the program committee.  Given the exploratory nature of the workshop,
reviews
will emphasize the novelty of the ideas and clarity of presentation.

The paper must not include any information that would indicate the author's
identity (references to authors' previous work should be left blank).
Papers
must be submitted in the same format as for CVPR and submitted as pdf files,
by
emailing to the Program Chair.
In an email accompanying the paper, authors should supply
1) the title of the paper
2) keywords relating to the paper,
3) the names and affiliations of the authors
4) (!) areas of expertise of the authors (for circular reviewing), and
5) the name of the contact author


Important dates:

Full Paper Submission :                         January 17, 2004
Papers Distributed for Review:                  January 20, 2004
Reviews due:                                    February 25, 2004

Notification to acceptance :                    March 2, 2004
camera ready copy:                              April 4,  2004


Program Organizer:

Dmitry O. Gorodnichy, NRC-CNRC, Canada

Program Comittee:

Bernhard Fröba, Fraunhofer-Institut, Germany
Laurent Itti, U. of Southern California, USA
Takeo Kanade, CMU, USA
Josef Kittler, University of Surrey, UK
Ernst Kussul, U. Nacional Autonoma de Mexico, Mexico
Stan Z. Li, Microsoft Research, China
Michael J. Lyons,  ATR Media Information Science Labs, Japan
Marc Parizeau,  U. Laval, Canada
Maximilian Riesenhuber, Georgetown U., USA
Gerhard Roth, NRC-CNRC, Canada
Chris Solomon, University of Kent at Canterbury, UK
Matthew Turk,  UCSB, USA
Lijun Yin, Binghamton University, USA