M.SC. in Computer Engineering (Without Thesis)

EEE 602 | Course Introduction and Application Information

Course Name

Video Processing

Code	Semester	Theory (hour/week)	Application/Lab (hour/week)	Local Credits	ECTS
EEE 602	Fall/Spring	3	0	3	7.5

Prerequisites	None
Course Language	English
Course Type	Elective
Course Level	Third Cycle
Mode of Delivery	-
Teaching Methods and Techniques of the Course	-
National Occupation Classification	-
Course Coordinator	-
Course Lecturer(s)	Doç. Dr. Türker İNCE
Assistant(s)	-

Course Objectives

This course introduces the fundamentals of digital video processing. Topics include introduction to video systems, Fourier analysis of video signals, spatio-temporal sampling, motion analysis and motion estimation, video filtering and restoration, video coding and video compression techniques, superresolution, digital TV and video communication standards.

Learning Outcomes

#	Content	PC Sub	* Contribution Level
			1	2	3	4	5

Course Description

Introduction to video systems, Fourier analysis of video signals, spatio-temporal sampling, motion analysis and motion estimation, video filtering and restoration, video coding and video compression techniques, superresolution, digital TV and video communication standards.

Course Category	Core Courses
	Major Area Courses
	Supportive Courses
	Media and Management Skills Courses
	Transferable Skill Courses

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week	Subjects	Related Preparation	Learning Outcome
1	Introduction, Basics of Analog and Digital Video	Wang, Ostermann, and Zhang, Video Processing and Communications, Prentice Hall, 1st ed., 2002 (Ch. 1)
2	Frequency-Domain Analysis of Video Signals	Wang, Ostermann, and Zhang, Video Processing and Communications, Prentice Hall, 1st ed., 2002 (Ch. 2)
3	Frequency Responses of the Human Visual Systen	Wang, Ostermann, and Zhang, Video Processing and Communications, Prentice Hall, 1st ed., 2002 (Ch. 2)
4	Video (Spatio-Temporal) Sampling	Wang, Ostermann, and Zhang, Video Processing and Communications, Prentice Hall, 1st ed., 2002 (Ch. 3)
5	Motion Analysis, Motion Detection	Wang, Ostermann, and Zhang, Video Processing and Communications, Prentice Hall, 1st ed., 2002 (Ch. 6)
6	2-D and 3-D Motion Estimation	Wang, Ostermann, and Zhang, Video Processing and Communications, Prentice Hall, 1st ed., 2002 (Ch. 7)
7	Midterm
8	Spectral Analysis of Image Sequences	Lecture Notes
9	Video Enhancement, Noise Reduction, Superresolution	Lecture Notes
10	Foundations of Video Coding	Wang, Ostermann, and Zhang, Video Processing and Communications, Prentice Hall, 1st ed., 2002 (Ch. 8)
11	Video Compression	Wang, Ostermann, and Zhang, Video Processing and Communications, Prentice Hall, 1st ed., 2002 (Ch. 13)
12	Digital TV and Video Communication Standards	Lecture Notes
13	In-class Presentations
14	In-class Presentations
15	In-class Presentations
16	Review of the Semester

Course Notes/Textbooks	The textbook referenced above and course slides
Suggested Readings/Materials	Related Research Papers

EVALUATION SYSTEM

Semester Activities	Number	Weighting
Participation
Laboratory / Application	6	60
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project	2	40
Seminar / Workshop
Oral Exams
Midterm
Final Exam
Total

Weighting of Semester Activities on the Final Grade	8	100
Weighting of End-of-Semester Activities on the Final Grade
Total

ECTS / WORKLOAD TABLE

Semester Activities	Number	Duration (Hours)	Workload
Theoretical Course Hours (Including exam week: 16 x total hours)	16	3	48
Laboratory / Application Hours (Including exam week: '.16.' x total hours)	16	2	32
Study Hours Out of Class	15	4	60
Field Work			0
Quizzes / Studio Critiques			0
Portfolio			0
Homework / Assignments			0
Presentation / Jury			0
Project	2	42	84
Seminar / Workshop			0
Oral Exam			0
Midterms			0
Final Exam			0
		Total	224

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#	PC Sub	Program Competencies/Outcomes	* Contribution Level
#	PC Sub	Program Competencies/Outcomes	1	2	3	4	5
1	Accesses information in breadth and depth by conducting scientific research in Computer Engineering, evaluates, interprets and applies information.		-	-	-	X	-
2	Is well-informed about contemporary techniques and methods used in Computer Engineering and their limitations.		-	-	-	-	X
3	Uses scientific methods to complete and apply information from uncertain, limited or incomplete data, can combine and use information from different disciplines.		-	-	-	X	-
4	Is informed about new and upcoming applications in the field and learns them whenever necessary.		-	-	-	-	X
5	Defines and formulates problems related to Computer Engineering, develops methods to solve them and uses progressive methods in solutions.		-	-	-	-	X
6	Develops novel and/or original methods, designs complex systems or processes and develops progressive/alternative solutions in designs.		-	-	-	-	X
7	Designs and implements studies based on theory, experiments and modelling, analyses and resolves the complex problems that arise in this process.		-	-	-	X	-
8	Can work effectively in interdisciplinary teams as well as teams of the same discipline, can lead such teams and can develop approaches for resolving complex situations, can work independently and takes responsibility.		-	-	-	-	X
9	Engages in written and oral communication at least in Level B2 of the European Language Portfolio Global Scale.		-	-	X	-	-
10	Communicates the process and the results of his/her studies in national and international venues systematically, clearly and in written or oral form.		-	-	X	-	-
11	Is knowledgeable about the social, environmental, health, security and law implications of Computer Engineering applications, knows their project management and business applications, and is aware of their limitations in Computer Engineering applications.		-	-	X	-	-
12	Highly regards scientific and ethical values in data collection, interpretation, communication and in every professional activity.		-	X	-	-	-