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Gregor Miller <[log in to unmask]>
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Gregor Miller <[log in to unmask]>
Sat, 23 Jun 2012 12:17:55 -0700
text/plain (68 lines)
The IEEE Workshop on User-Centred Computer Vision (UCCV), 18th January 
2013, Tampa, Florida, U.S.A. :

We are pleased to announce the 1st Workshop on User-Centred Computer 
Vision (UCCV 2013), to be held as part of the IEEE Winter Vision 
Meetings in Clearwater Beach, Tampa, Florida, U.S.A. from 15th to 17th 
January 2013. UCCV is a one day workshop intended to provide a forum to 
discuss the creation of intuitive, interactive and accessible computer 
vision technologies.

Important Dates
2012/09/05: Paper Submission
2012/10/24: Acceptance notification
2012/11/21: Camera-ready version due


General chair: Gregor Miller (University of British Columbia)
Programme chairs: Daesik Jang (Kunsan National University), Kenji Mase 
(Nagoya University)


The majority of researchers in computer vision focus on advancing the 
state-of-the-art in algorithms and methods; there is very little focus 
on how the state-of-the-art can be usefully presented to the majority of 
people. Research is required to provide new technology to address the 
shortcomings in the usability of computer vision. The workshop will 
bring together researchers from academia and industry in the fields of 
computer vision and human-computer interaction to discuss the 
state-of-the-art in user-friendly and developer-friendly computer 
vision. We invite the submission of original, high quality research 
papers on user-centred, interactive or accessible computer vision. Areas 
of interest include (but not limited to):

  * Interactive computer vision techniques
  * Vision systems/frameworks designed for use by non-experts
  * Visual or Integrated Development Environments for vision system design
  * High-level abstractions of vision algorithms
  * Algorithm/Task/User level API design
  * Detection/tracking/recognition of a physical person as input to an
    interactive system
  * Interpretation of user input such as descriptions, sketches, images
    or video
  * Automatic or interactive algorithm selection
  * Automatic or interactive task selection
  * Automatic or interactive parameter tuning for vision algorithms
  * Using computer vision to exploit meaningful user interaction
  * Case studies on user-centred computer vision
  * Interactive/supervised correction of weaknesses in the current
    state-of-the-art in computer vision
  * Evaluation of vision interfaces (e.g. through user studies)

Gregor Miller, gregor {at} ece DOT ubc DOT ca

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