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Computer Science Research

Model Based Visual Communications

The concept behind model-based video coding (video compression) is that models of 3D objects require less information to transmit than images of those objects. A model-based video coding system uses models of the 3D objects appearing in a video. Values for the parameters of these models and estimates of the 3D motion of modeled objects are obtained by analyzing the video. These parameter values and motion estimates are transmitted and a video display of the modeled objects and their motion is synthesized using 3D computer graphics.

Project Presented By

Tuceryan, Mihran

Position:	Associate Professor
Mail:
Phone:	317-274-9736
Url:	http://www.cs.iupui.edu/~tuceryan

Education Details

BS:	Computer Science and Engineering Massachusetts institute of Technology 1978

PhD:	Computer Science University of Illinois 1980

Research Interests

Associate Professor Dr. Mihran Tuceryan holds a PhD degree in Computer Science from the University of Illinois at Urbana-Champaign (1986) and a Bachelor of Science degree in Computer Science and Engineering from the Massachusetts Institute of Technology (1978). His areas of expertise include Computer Vision, Image Processing, and Pattern Recognition. His recent research interests include augmented reality, video analysis for marketing applications, and distributed tracking. He is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE) and a regular member of the Association of Computing Machinery (ACM).