Call for Papers
Computer Vision and Image Understanding Journal (CVIU)
Special Issue on

Attention and Performance in Computer Vision

"Extended manuscript submission deadline - Dec 10, 2003"

Guest Editors

John K. Tsotsos, York University, Canada
Lucas Paletta, Joanneum Research, Austria
Glyn W. Humphreys, University of Birmingham, United Kingdom
Robert B. Fisher, University of Edinburgh, United Kingdom

The development of enabling technologies such as video surveillance systems, miniaturised mobile sensors, and ambient intelligence systems involves the real-time analysis of enormous quantities of data. Knowledge has to be applied about what needs to be attended to, and when, and what to do in a meaningful sequence, in correspondence with visual feedback. Recently, the fundamental need for cognitive vision methodologies has been broadly recognised. Methods on attention and control are mandatory to render computer vision systems more robust. Concurrently, cognitive psychology has discovered attention mechanisms to play a key role in object recognition and scene interpretation, resulting in innovative computational attention architectures modelling human perception.

This Special Issue aims at highlighting the central role of attention on various kinds of performance in machine vision processes. It provides an interdisciplinary forum to present and communicate methodologies and concepts from computer vision, cognitive psychology, and autonomous systems research with respect to theory and application of visual attention. We expect investigations to focus on computational models of attention, to outline relevant objectives for performance comparison, to document and to investigate promising application domains, and to discuss it with reference to other aspects of cognitive vision. However, contributions to machine attention must be the central theme of successful submissions.

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

• Methodologies and Concepts:
  • Computational architectures of attention
  • Attention and control of vision processes
  • Attention in object and scene recognition
  • Cognitive vision
  • Learning for attention
  • Information selection and fusion
  • Engineering of vision based behavior
  • Perceptual organization
  • Biologically motivated machine attention
    
• Applications:
  • Video analysis and surveillance
  • Robotic systems
  • Mobile computing

All submitted papers will be reviewed according to the guidelines and standards of the Computer Vision and Image Understanding Journal. We prefer that the authors submit electronic versions of their papers in postscript or pdf to Lucas Paletta (lucas.paletta@joanneum.at). If electronic submission is not possible then five paper copies may be sent to:

Dr. Lucas Paletta,
Institute of Digital Image Processing,
Joanneum Research,
Wastiangasse 6,
A-8010 Graz, Austria

For further information please contact Lucas Paletta (lucas.paletta@joanneum.at).