The Workshop on Use of Context in Vision Processing (UCVP) offers a timely opportunity for the exchange of recent work on employing contextual information in problems of Computer Vision. Recent efforts in defining ambient intelligence applications based on user-centric concepts, the advent of technology in different sensing modalities, as well as the expanding interest in multi-modal information fusion, situation-aware and dynamic vision processing algorithms have created a common motivation across different research disciplines to utilize context as a key enabler of application-oriented vision. Improved robustness, efficient use of sensing and computing resources, dynamic task assignment to different operating modules, as well as adaptation to event and user behavior models are among the benefits a vision processing system can gain through the utilization of contextual information.
UCVP aims to address the opportunities in incorporating contextual information in algorithm design for single or multi-camera vision systems, as well as systems in which vision is complemented with other sensing modalities, such as audio, motion, proximity, occupancy, and others. The objective of the workshop is to gather high-quality contributions describing leading-edge research in the use of context in vision processing. The workshop further aims to stimulate interaction among the participants through a panel discussion.
- Sources of context:
(multi-camera networks, multi-modal sensing systems, long-term observation, behavior models, spatial or temporal relationships of objects and events, interaction of user with objects, internet resources as knowledge-base for context extraction)
- User-centric context:
(demographic information, activity, user's emotional state, stated preferences, explicit and implicit interfaces, interaction between users)
- Uses of context:
(context-driven event interpretation, active vision, multi-modal activation, service provision and switching based on context, response and interaction with user, detection of abnormal behavior, active sensing, task assignment to different sensing modules, guided vision based on high-level reasoning, user behavior modeling, applications in smart environments, human-computer interfaces)
The workshop aims to encourage collaboration between researchers in
different areas of computer vision and related disciplines. In
addition, by introducing topics of emerging applications in smart
environments, multi-camera networks, and multi-modal sensing as
sources of context in vision, the workshop aims to extend the notion
of context-based vision processing to include high-level and
application-driven information extraction and fusion.
The workshop solicits original and unpublished papers that address a wide
range of issues concerning the use of context in vision processing.
Authors should submit papers not exceeding six (6) pages in total in
ACM format (http://www.acm.org/sigs/pubs/proceed/template.html).
Submissions must be sent in PDF to the following email address:
Accepted papers will be presented at the workshop and will appear in the ACM
Digital Libraries. A hardcopy proceedings will be available during
the workshop. At least one author of each paper must register and
attend the workshop to present the paper.
|Paper submission: ||July 15, 2009|
|Author notification:|| September 1, 2009|
|Camera-ready due:||September 25, 2009|
|Workshop:||November 5, 2009|
Please note that registration is needed in order to include an accepted paper to the proceedings. Please refer to the main ICMI 2009 website for more details.
Hamid Aghajan (Stanford University, USA)
Ralph Braspenning (Philips Research, The Netherlands)
Yuri Ivanov (MERL, USA)
Louis-Philippe Morency (USC, USA)
Anton Nijholt (University of Twente, The Netherlands)
Maja Pantic (Imperial College, London UK; University of Twente, The Netherlands)
Ming-Hsuan Yang (Univ. of California Merced, USA)
Stan Birchfield, Clemson University, USA
Tanzeem Choudhury, Dartmouth College, USA
Bill Christmas, University of Surrey, UK
Maurice Chu, PARC, Palo Alto, USA
David Demirdjian, MIT, USA
Abhinav Gupta, University of Maryland, USA
Ronald Poppe, TU Delft, The Netherlands
Paolo Remagnino, Kingston University, UK
Neil Robertson, Heriot-Watt University, UK
Michael S. Ryoo, ETRI, Korea
Stan Sclaroff, Boston University, USA
Rainer Stiefelhagen, University of Karlsruhe, Germany
YingLi Tian, CCNY, New York
Fernando de la Torre, CMU, USA