Connectionists: CFP: The Fifth IEEE Computer Society Workshop on Perceptual Organization in Computer Vision

[Jeffrey Mark Siskind]

       FIRST CALL FOR PAPERS: POCV 2006

       The Fifth IEEE Computer Society Workshop on Perceptual
       Organization in Computer Vision
       New York City June 22, 2006, In Conjunction with IEEE CVPR 2006
       http://elderlab.yorku.ca/pocv

       IMPORTANT DATES:
       * Submission deadline: 11:59pm EST, March 17, 2006
       * Notification: April 17, 2006
       * Final versions of accepted papers due: April 24, 2006


       **Please note that biological vision researchers working in the
       field of perceptual organization are encouraged to submit work
       that may stimulate new directions of research in the computer
       vision community.


       THEME:
       Perceptual Organization is the process of establishing a
       meaningful relational structure over raw visual data, where the
       extracted relations correspond to the physical structure of the
       scene. A driving motivation behind perceptual organization
       research in computer vision is to deliver representations needed
       for higher-level visual tasks such as object detection, object
       recognition, activity recognition and scene reconstruction.
       Because of its wide applicability, the potential payoff from
       perceptual organization research is enormous.

       The 5th IEEE POCV Workshop, to be held in conjunction with CVPR
       2006 (New York), will bring together experts in perceptual
       organization and related areas to report on recent research
       results and to provide ideas for future directions.

       PREVIOUS IEEE POCV WORKSHOPS:
       * 2004 CVPR (Washington, DC)
       * 2001 ICCV (Vancouver, Canada)
       * 1999 ICCV (Crete, Greece)
       * 1998 CVPR (Santa Barbara, CA)

       SCOPE:
       Papers are solicited in all areas of perceptual organization,
       including but not limited to:
       * image segmentation
       * feature grouping
       * texture segmentation
       * contour completion
       * spatiotemporal/motion segmentation
       * figure-ground discrimination
       * integration of top-down and bottom-up methods
       * perceptual organization for object or activity
       detection/recognition
       * unification of segmentation, detection and recognition
       * biologically-motivated methods
       * neural basis for perceptual organization
       * learning in perceptual organization
       * graphical methods
       * natural scene statistics
       * evaluation methods

       ALGORITHM EVALUATION:
       Research progress in perceptual organization depends in part on
       quantitative evaluation and comparison of algorithms. Authors
       reporting results of new algorithms are strongly encouraged to
       objectively quantify performance and compare against at least
       one competing approach.

       BROADER ISSUES:
       Perceptual organization research faces a number of challenges.
       One is defining what the precise goal of perceptual organization
       algorithms should be. What kind of representation should they
       deliver? What databases should be used for evaluation? How can
       we quantify performance to allow objective evaluation and
       comparison between algorithms? How do we know when we’ve
       succeeded? To try to meet these challenges, we particularly
       encourage contributions of a more general nature that attempt to
       address one or more of these questions. These may include
       definitional papers, theoretical frameworks that might apply to
       multiple different perceptual organization problems,
       establishment of useful databases, modeling of underlying
       natural scene statistics, evaluation methodologies, etc.
       Biological Motivation

       BIOLOGICAL MOTIVATION:
       Much of the current work in perceptual organization in computer
       vision has its roots in qualitative principles established by
       the Gestalt Psychologists nearly a century ago, and this link
       between computational and biological research continues to this
       day. Following this tradition, we specifically invite biological
       vision researchers working in the field of perceptual
       organization to submit work that may stimulate new directions of
       research in the computer vision community.

       WORKSHOP OUTPUT:
       All accepted papers will be included in the Electronic
       Proceedings of CVPR, distributed on DVD at the conference, and
       will be indexed by IEEE Xplore. We are also exploring the
       possibility of a special journal issue on perceptual
       organization in computer vision, with a separate call for papers.

       PAPER SUBMISSION:

       Submission is electronic, and must be in PDF format. Papers must
       not exceed 8 double-column pages. Submissions must follow
       standard IEEE 2-column format of single-spaced text in 10 point
       Times Roman, with 12 point interline space. All submissions must
       be anonymous. Please us the IEEE Computer Society CVPR format
       kit. Stay tuned for exact details on how to submit.

       In submitting a paper to the POCV Workshop, authors acknowledge
       that no paper of substantially similar content has been or will
       be submitted to another conference or workshop during the POCV
       review period.

       For further details and updates, please see the workshop
       website: http://elderlab.yorku.ca/pocv


       WORKSHOP CHAIRS:

       James Elder, York University
       jelder at yorku.ca

       Jeffrey Mark Siskind, Purdue University
       qobi at purdue.edu

       PROGRAM COMMITTEE:

       Ronen Basri, Weizmann Institute, Israel
       Kim Boyer, Ohio State University, USA
       James Coughlan, Smith-Kettlewell Institute, USA
       Sven Dickinson, University of Toronto, Canada
       Anthony Hoogs, GE Global Research, USA
       David Jacobs, University of Maryland, USA
       Ian Jermyn, INRIA, France
       Benjamin Kimia, Brown University, USA
       Norbert Kruger, Aalborg University, Denmark
       Michael Lindenbaum, Technion, Israel
       Zili Liu, University of California, Los Angeles, USA
       David Martin, Boston College, USA
       Gerard Medioni, University of Southern California, USA
       Zygmunt Pizlo, Purdue University, USA
       Sudeep Sarkar, University of South Florida, USA
       Eric Saund, Palo Alto Research Centre, USA
       Kaleem Siddiqi, McGill University, Canada
       Manish Singh, Rutgers University, USA
       Shimon Ullman, Weizmann Institute, Israel
       Johan Wagemans, University of Leuven, Belgium
       Song Wang, University of South Carolina, USA
       Rich Zemel, University of Toronto, Canada
       Song-Chun Zhu, University of California, Los Angeles, USA
       Steve Zucker, Yale University, USA