CALL FOR PAPERS 
INTERNATIONAL JOURNAL OF COMPUTER VISION 
Special Issue on VIDEO COMPUTING 

Guest Editor: Dr. Mubarak Shah, University of Central Florida, USA 

For author instructions and more information, please visit 
http://www.cs.ucf.edu/~vision/ijcv/cfp.html 

Computer Vision has also been called Image Understanding, since the aim 
of vision has been to understand a single image of a scene, locate and 
identify objects, their shape and structure, spatial arrangements, and 
relationships between other objects, etc. Recently, computer vision has 
been progressing from image understanding to video understanding. The 
aim of video understanding is to understand a sequence of images instead 
of a single image, which includes detection and measurement of motion, 
motion-based recognition and motion recognition, etc. Video provides 
multiple temporal constraints, which make it easier to analyze a complex 
and coordinated series of events that cannot be understood by just 
looking at only a single image or a few frames. Since most videos are 
about people, during the last few years, researchers have focused on 
recognition of human actions, activities, gestures, visual speech, 
facial expressions etc. Video understanding has also been called an 
inverse Hollywood problem. Since in Hollywood the aim is to transform a 
script into a box office hit movie (video). On the other hand, the aim 
in video understanding is to transform a video (movie) into a transcript 
(symbolic or textual description). 

The effective use of video requires understanding of video processing, 
video analysis, video synthesis, video retrieval, video compression and 
other related computing techniques. In this special issue of 
International Journal of Computer Vision, we will publish papers related 
to various aspects of video computing. We invite papers on recent 
results in video computing areas, including but not limited to the 
following topics: 

Prospective authors are encouraged to submit high quality, original 
works, which have not appeared, nor are under consideration, in any 
other journals. 
Video Understanding 
Gesture Recognition 
Facial Expression Recognition 
Visual Lipreading 
Human Activity Recognition 
Video Abstraction 
Skims 
Abstracts 
Key Frames 
Video Surveillance and Monitoring 
Tracking 
Scene Change Detection 
Visual Traffic Monitoring 
Intruder Detection 
Video Sentries 
Video Segmentation 
Shots, Scenes, Stories 
Layered Representations of Video 
Object-based segmentation of video 
Video Compression 
MPEG-4 
Knowledge-based Compression 
Semantic-based Compression 
Video Phones 
Video Mosaics 
Video Synthesis 
Facial Animation 
Body Animation 
Motion Capture 
Video Registration 
Model-based registration 
Geo-registration of video 
Site Modeling from video 

Guest Editor, Dr. Mubarak Shah 
School of Electrical Engineering and Computer Science 
University of Central Florida, Orlando, FL 32816 
mailto:shah@cs.ucf.edu 
Tel. (407) 823-5077 / Fax: (407) 823-5419