COURSE UNIT TITLE

: DIGITAL VIDEO PROCESSING

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
EEE 5037 DIGITAL VIDEO PROCESSING ELECTIVE 3 0 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

Offered to

ELECTRICAL AND ELECTRONICS ENGINEERING (ENGLISH)
ELECTRICAL AND ELECTRONICS ENGINEERING (ENGLISH)
ELECTRICAL AND ELECTRONICS ENGINEERING (ENGLISH)

Course Objective

The purpose of Digital Video Processing course is to cover the fundamentals of digital video signal generation and further processing over the communication systems. In particular, this course will cover terminology of analog and digital video signals processing, and makes students understand the spatio-temporal sampling, motion analysis, parametric motion models, motion-compensated filtering, and video processing operations including noise reduction, restoration, interlacing, video sampling structure conversion, and compression. A number of advanced topics will be covered, including video segmentation and layered video representations, video streaming and digital TV standards.

Learning Outcomes of the Course Unit

1   To be familiar with fundamental methods of video processing.
2   To be able to understand the contemporary standards on video compression.
3   To be able to design solutions to real-world problems using digital video processing.
4   To be able develop working digital video processing systems using MATLAB.
5   To be able to explain, compare and contrast digital video processing techniques.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Course Overview and Analog Video
2 Spatio-Temporal Sampling
3 Motion Estimation (I): Real vs Apparent Motion, Optical Flow Equation, Motion Models
4 Motion Estimation (II): Block-based, Generalized Block-based, and Mesh-based Algorithms
5 Motion Segmentation and Layered Video Representations
6 Motion-Compensated Filtering
7 Background Modeling and Foreground Segmentation for Video & Vision Applications
8 Video Sampling Rate (Structure) Conversion
9 Superresolution
10 Video Compression
11 Object-based compression
12 Midterm exam
13 Digital Watermarking
14 Digital Television

Recomended or Required Reading

Textbook:
Video Processing and Communications,Yao Wang, Joern Ostermann, and Ya-Qin Zhang, Prentice Hall, 2002. ISBN 0-13-017547-1.


Reference Books:
The Essential Guide to Video Processing, A. Bovik, Academic Press, 2009, ISBN-10: 0123744563.

Multidimensional Signal, Image, and Video Processing & Coding, John W. Woods, Academic Press, 2006, ISBN 0-12-088516-6.

Planned Learning Activities and Teaching Methods

Lecture+Homeworks+Project +Exam

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 + ASG * 0.40 + FIN * 0.30
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + MAKRASG * 0.40 + MAKRRST * 0.30


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

metehan.makinaci @ deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Preparations before/after weekly lectures 13 3 39
Preparation for midterm exam 1 15 15
Preparation for final exam 1 20 20
Preparing assignments 3 15 45
Design Project 1 30 30
Preparing presentations 1 5 5
Midterm 1 2 2
Final 1 3 3
TOTAL WORKLOAD (hours) 198

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14PO.15
LO.1412232
LO.24212232
LO.34443323
LO.44443323
LO.54221

CONTACT INFORMATION
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Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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