2nd Workshop on
User-Centred Computer Vision
2014/06/02 - Important Dates
Papers are due at 2300 Pacific Time (PDT) on 8th September 2014. Notifications will be sent out on the 23rd September and the final versions of accepted papers are due on 30th September. The workshop will be held on either 1st or 2nd November (when the date is finalised this site will be updated).
2014/05/15 - UCCV 2014 to be held with ACCV 2014
The 12th Asian Conference on Computer Vision (ACCV 2014) will be held in Singapore from 1st to 5th November 2014, with workshops and the main conference held at the National University of Singapore. ACCV will also be hosting 14 other workshops, with a single passport-style registration for access to all workshop sessions.
2014/05/13 - UCCV 2014 Announced! (Plus Call for Papers)
We are very pleased to announce the 2nd Workshop on User-Centred Computer Vision (UCCV 2014), to be held as part of the Asian Conference on Computer Vision (ACCV 2014) in Singapore from 1st to 5th November 2014. UCCV is a one day workshop intended to provide a forum to discuss the creation of intuitive, interactive and accessible computer vision technologies.

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)