Topics:
computational cameras and photography;
exploitation of online photo and video collections;
visual social computing;
internet vision;
visualizing and storytelling with images; and
techniques for improving privacy, security, and trust in visual communication.

Final submissions due: 14 May 2010
Publication date: January/February 2011
http://www.computer.org/portal/web/computingnow/cgacfp1

Improved camera technologies, new algorithms for scene understanding, and the 
evolving mechanisms for sharing and displaying visual information using the 
Internet are changing the role of computer graphics and vision in digital 
imaging. With more than a billion people using networked, mobile, and 
location-aware cameras, we’re seeing a rapid evolution in activities based on 
visual exchange. How will these tools impact visual-computing research and 
applications?

Capture and analysis of visual information play an important role in 
photography, art, medical imaging, telepresence, worker safety, scene 
understanding, and robotics. But current computational approaches analyze images 
from cameras with limited abilities. How will online photo collections transform 
visual social computing? What will a camera look like in 10 years? How should we 
change the camera to improve mobile photography? How will a billion networked 
and portable cameras change the social culture? How will people create, share, 
and discuss visual stories? Future cameras will exploit unusual optics, novel 
illumination, and emerging sensors. A significant enhancement in the next 
billion cameras to support scene analysis and mechanisms for superior metadata 
tagging for effective sharing will bring about a revolution in visual 
communication. Billions of cameras will give us a window on a much larger 
variety of scenes, and these cameras’ networks will change how we consume imagery.

This special issue will broadly cover domains linked to novel image capture, 
image-based synthesis, online content exploitation, social implications of 
pervasive recording and eager consumption of visual media, and emerging trends 
in commerce based on visual computing. It particularly aims to bring together 
current research in computer graphics, computer vision, machine learning, 
applied optics, distributed computing, social computing, and social sciences.

http://www.computer.org/portal/web/computingnow/cgacfp1

Questions?

Contact Guest Editors Ramesh Raskar and Irfan Essa.

Ramesh Raskar, Associate Professor, MIT Media Lab http://cameraculture.media.mit.edu

Irfan Essa, Professor, Georgia Tech, College of Computing
http://academics.irfanessa.com/