Important Dates
Paper submission: EXTENDED 12th September 2014, 1600 PDT [2300 GMT]
Notification: 4th October 2014
Final version: 8th October 2014
Workshop: 1st November 2014
Submission Instructions
Papers for UCCV 2014 should be submitted through https://cmt.research.microsoft.com/UCCV2014/ by 1600 PDT (EXTENDED) 12th September 2014. Please add "cmt@microsoft.com" to your e-mail program's white-list to prevent important email announcements from being blocked by spam filters.
Paper Preparation
All submissions to UCCV 2014 must use the author kit provided by ACCV. A complete paper should be submitted in camera-ready format, except for author names and affiliation, using the same formatting guidelines as ACCV. All reviews are double-blind, so please be careful not to include any identifying information. All papers should be submitted as PDF files (10 MB maximum).
Supplemental Materials
You may also submit supplemental materials to assist with the review. These may include videos, additional images or other results, or appendices. Reviewers are not required to view the supplemental material, so please ensure the submitted paper is self-contained; the supplemental material should complement, not complete, the content of the paper.
All supplemental materials must be zipped into a single file, or you may submit a single PDF or MP4. In all cases, the maximum file size for the supplemental materials is 10MB (limit set by CMT).
Other Policies
All papers submitted for UCCV must represent original, unpublished work. Simultaneous submission to other venues is not permitted. All work submitted to UCCV is considered confidential until the papers appear at the workshop.
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):
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)