M.SC. in Computer Engineering (Without Thesis)

CE 606 | Course Introduction and Application Information

Course Name

Video Coding and Decoding

Code	Semester	Theory (hour/week)	Application/Lab (hour/week)	Local Credits	ECTS
CE 606	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	Prof. Dr. Turhan TUNALI
Course Lecturer(s)	Prof. Dr. Turhan TUNALI
Assistant(s)	-

Course Objectives

Firstly, the fundamental concepts will be studied after which the existing video codec standards will be examined. A comprehensive introduction to digital video compression is the fundamental goal of the course.

Learning Outcomes

#	Content	PC Sub	* Contribution Level
#	Content	PC Sub	1	2	3	4	5
1	will be able to select software configuration parameters of a codec.
2	will be able to evaluate topics on video rate, distortion and codec computational complexity.
3	will be able to determine the bottlenecks in certain phases of video transmission.
4	will be able to possess knowledge on video codec standards.
5	will be able to select proper parameters for video display.

Course Description

Fundamentals of digital video, image and video compression principles, video coding standards, motion estimation and compensation, transform coding, entropy coding, preprocessing and postprocessing, rate, distortion, complexity and video communication.

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	Giriş ve Sayısal Video	I.E.G. Richardson “Video Codec Design”, Wiley, 2002 Bölüm 1 ve 2
2	Görüntü ve Video Sıkıştırma Prensipleri	I.E.G. Richardson “Video Codec Design”, Wiley, 2002 Bölüm 3
3	Video kodlama standartları: JPEG ve MPEG	I.E.G. Richardson “Video Codec Design”, Wiley, 2002 Bölüm 4
4	Video kodlama standartları: H261, H263 ve H26L	I.E.G. Richardson “Video Codec Design”, Wiley, 2002 Bölüm 4
5	Hareket Tahminleme ve Görüntü Düzeltme 1	I.E.G. Richardson “Video Codec Design”, Wiley, 2002 Bölüm 5
6	Hareket Tahminleme ve Görüntü Düzeltme 2	I.E.G. Richardson “Video Codec Design”, Wiley, 2002 Bölüm 5
7	Dönüşüm Kodlama	I.E.G. Richardson “Video Codec Design”, Wiley, 2002 Bölüm 6
8	Midterm
9	Entropi kodlama	I.E.G. Richardson “Video Codec Design”, Wiley, 2002 Bölüm 7
10	Ön ve Son Bilgi İşleme	I.E.G. Richardson “Video Codec Design”, Wiley, 2002 Bölüm 8
11	Oran, Distorsiyon ve Karmaşıklık	I.E.G. Richardson “Video Codec Design”, Wiley, 2002 Bölüm 9
12	Video İletimi	I.E.G. Richardson “Video Codec Design”, Wiley, 2002 Bölüm 10
13	Platformlar	I.E.G. Richardson “Video Codec Design”, Wiley, 2002 Bölüm 11
14	Video Kodlayıcı ve Çözücü Tasarımı	I.E.G. Richardson “Video Codec Design”, Wiley, 2002 Bölüm 12
15	Review	I.E.G. Richardson “Video Codec Design”, Wiley, 2002
16	-

Course Notes/Textbooks	I.E.G. Richardson “Video Codec Design”, Wiley, 2002
Suggested Readings/Materials	I.E.G. Richardson “H.264 and MPEG- 4 Video Compression ”, Wiley, 2003

EVALUATION SYSTEM

Semester Activities	Number	Weighting	LO 1	LO 2	LO 3	LO 4	LO 5
Participation	13	10
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments	5	30
Presentation / Jury
Project
Seminar / Workshop
Oral Exams
Midterm	1	25
Final Exam	1	35
Total

Weighting of Semester Activities on the Final Grade		65
Weighting of End-of-Semester Activities on the Final Grade		35
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		0
Study Hours Out of Class	15	5	75
Field Work			0
Quizzes / Studio Critiques			0
Portfolio			0
Homework / Assignments			0
Presentation / Jury		42	0
Project	1	90	90
Seminar / Workshop			0
Oral Exam			0
Midterms	1		0
Final Exam	1		0
		Total	213

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	-	-	-