[Imageworld] CFP Statistical Methods in Video Processing Workshop

From: Ole Fogh Olsen (fogh@it-c.dk)
Date: Fri Jan 11 2002 - 18:05:50 MET

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            Statistical Methods in Video Processing Workshop
                          Copenhagen, Denmark
                    June 1-2, 2002 (Associated with ECCV)

    Important Dates
    Paper Submission (electronic) Due : February 26, 2002

    Web site:
    http://www.ds.eng.monash.edu.au/smvp/

    The central theme of this workshop will be statistically motivated
    methods for processing video information. Although some statistical
    methods for processing single frames of image data will be applicable:
    the unique focus is on video processing or multi-frame methods. This
    includes methods for processing film and video sequences that will
    extract and use the information residing in the dynamic aspect of image
    sequences. It also includes the multiple-view (including stereo)
    techniques for extracting structure (whether the views are temporally
    separated or spatially separated).

    Typically, papers will be related to the extraction of motion or
    displacements in an image sequence. Of particular emphasis is on
    applications where such an analysis reveals structure (including 3D
    structure) of the scene being imaged. However, papers that use
    statistical techniques to extract or characterise content in video are
    also welcome.

    The applications relevant to this workshop include (but are not limited
    to) model building and capture from video, panoramic view construction,
    tracking, motion-based segmentation, traffic and crowd monitoring,
    robotics (including visual servoing and navigation), and remote sensing.

    The motion and/or structure within image sequences can be used for image

    sequence content summary and image content search and indexing.
    Techniques studied in this workshop, will enable the "re-purposing" of
    existing film and video material (blending exisiting film and video with

    synthetic inserts in the entertainment and advertising industries, for
    example). The applications also include the restoration of image
    sequences. Restoration approaches usually involve the need for motion
    estimation. The basic technologies also underpin attempts to implement
    more user-friendly human machine interfaces. The computer needs to "see"

    and "understand" human gestures.

    The workshop should promote the exchange of ideas and collaborative
    research within these themes.

    Topics of interest include, but are not limited to, the following:

    Robust Statistical Techniques
    Stereo and Motion Analysis in the presence of Noise and Data
    Contaminants
    Background Modelling
    Tracking
    Gesture Recognition
    2D & 3D Scene Analysis
    Image Segmentation (particularly Motion Based)
    Video Analysis for Multimedia
    Feature Extraction - Spatio-temporal Extraction
    Industrial Visual Inspection
    Image Sequence Restoriation
    Fluid Motion Analysis
    Video Indexing
    Texture Analysis
    Biometrics
    Applications in Medical Imagery
    Applications in Meteorological Imagery
    Surveillance
    within the context that there must be a clearly identifiable (and
    practical) basis to the work upon statistically motivated/justified
    techniques. There must be a dynamic (temporal) aspect applicaple to
    video
    data.

    Student Paper Prize
    Sponsored by Siemens Corporate Research, Inc., there will be a prize
    awarded to the best student paper.

    ORGANIZING COMMITTEE

    David Suter (Monash University) (Chair)
    Alireza Bab-Hadiashar (Swinburne University))
    Patrick Bouthemy (IRISA / INRIA Rennes)
    Mike Brooks (Adelaide University)
    Dorin Comaniciu (Siemens Research (NJ))
    Anders Heyden (Lund Institute of Technology / Lund University )
    Kenichi Kanatani (Okayama University)
    Rudolf Mester (J.W.Goethe-Universitaet Frankfurt)

    PROGRAM COMMITTEE
    Anton van den Hengel (Adelaide University)
    Naoyuki Ichimura (AIST Tsukuba)
    Michael Isard (Compaq SRC, Palo Alto)
    James MacLean (University of Toronto)
    Atsuto Maki (TOSHIBA Corporate R&D Center )
    Bogdan Matei (Sarnoff Corporation, Princeton)
    Peter Meer (Rutgers)
    Oscar Netares (Instituto de Optica "Daza de Valdes")
    Visvantham Ramesh (Siemens Corporate Research)
    Jun Sato (Nagoya Institute of Technology)
    Charles Stewart (Rensselaer Polytechnic Institute)
    Nuno Vasconcelos (Compaq Cambridge Research Laboratory)

    Sponsored by:
    Siemens Corporate Research 

    --
David Suter - Associate Professor
Dept. of Electrical and Computer Systems Engineering,
PO Box 35, Monash University, Clayton, Vic. 3800, Australia ph 9905 5682

    Fax 9905 3454
( ISD prefix 61 3 ) http://www.batman.eng.monash.edu.au
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