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TEL 520E - Digital Video Processing

Course Objectives

To introduce fundamental theory and techniques for efficient representation and processing of digital video signals.
To provide the required theoretical framework for the estimation of 2D and 3D motion.
To be familiar with deep networks used for video processing.

Course Description

Image formation models, color spaces. Projection form 3D to 2D image plane. 2D parametric and nonparametric motion estimation. Dense motion models, optical flow estimation. Extraction and compensation of camera motion. Video enhancement, debluring and segmentation. 3D motion estimation and depth from motion. Deep learning for video processing.

Course Coordinator
Bilge Günsel Kalyoncu
Course Language
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