Difference between revisions of "CfpTOMCCAP"
(New page: CALL FOR PAPERS ACM TOMCCAP Special Issue on *Multimedia* *Sensor* *Fusion* ACM Transactions on Multimedia Computing, Communications and Applications IMPORTANT ...)
Latest revision as of 14:11, 26 January 2010
CALL FOR PAPERS ACM TOMCCAP Special Issue on *Multimedia* *Sensor* *Fusion*
ACM Transactions on Multimedia Computing, Communications and Applications
IMPORTANT DUE DATES
December 14, 2009
March 8, 2010:
April 19, 2010
Camera ready version:
May 10, 2010
Publication of the special issue:
SCOPE OF THIS SPECIAL ISSUE
Today's devices like cell-phones, laptops, sensor nodes or even cars can capture many quantities like temperature, tilt and yaw, audio, video, GPS coordinates or the proximity of WLAN base stations and Bluetooth devices. They are true multimedia devices which go beyond mere audio and video capturing. The joint consideration of all of these modalities comprises new and exciting possibilities for multimedia research.
THE IDEA OF SENSOR FUSION
The joint analysis of measurements is often referred to as sensor fusion. The strength of analyzing data from different domains and/or multiple sensors lies in its ability - to find out facts which are not easy to see by analyzing a single domain only, and - to cope with fuzzy information and noise.
Taking different domains into account opens up the possibility of finding hidden information. For example, a small silhouette of a person may not reveal whether the back or the front is facing the camera. However, the additional usage of a passive IR movement sensor allows the direction of movement to be derived reliably. Another example is the usage of multiple cameras, jointly focusing on an object. While the view of each single camera might be blurred by bushes, fog or other obstacles, an image reconstructed from multiple cameras with slightly differing locations can result in a clear picture of the obfuscated object. These are initial examples where information that can not be easily found from a single source of information is found by taking additional measurements into account. With a vast variety of measurements from ubiquitous devices, there is a yet unexploited potential for deriving high-level semantics from existing sensor readings.
TOPICS OF INTEREST
In this special issue, surveys and original work on the joint analysis of multiple sensors should be addressed. These may be (but are not limited to)
- movement, acceleration, vibration or the tilt of a device - data from force feedback devices, pulse clocks, etc. - temperature, humidity and brightness - the presence of other wireless mobile devices or base stations - information from ZigBee appliances, - images from multiple or self-propelled cameras, or - images from camera arrays and infra-red cameras.
GUEST EDITORS Thomas Haenselmann <email@example.com>, Wolfgang Effelsberg University of Mannheim, Germany
Shao-Yi Chien (簡韶逸) National Taiwan University, Taiwan
Peter Bajcsy University of Illinois at Urbana-Champaign, USA
For your submission via the ACM Manuscript Central, please follow the guidelines for preparation available from http://tomccap.acm.org/ Clearly indicate in the cover-letter field that you submit for the special issue 2010.