İzmir Ekonomi Üniversitesi
  • TÜRKÇE

  • GRADUATE SCHOOL

    M.SC. in Computer Engineering (With 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)
    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

    The students who succeeded in this course;

    -
    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 Weigthing
    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
    1
    2
    3
    4
    5
    1 Accesses information in breadth and depth by conducting scientific research in Computer Engineering; evaluates, interprets and applies information.
    -
    -
    -
    -
    -
    2 Is well-informed about contemporary techniques and methods used in Computer Engineering and their limitations.
    -
    -
    -
    -
    -
    3 Uses scientific methods to complete and apply information from uncertain, limited or incomplete data; can combine and use information from different disciplines.
    -
    -
    -
    -
    -
    4 Is informed about new and upcoming applications in the field and learns them whenever necessary.
    -
    -
    -
    -
    -
    5 Defines and formulates problems related to Computer Engineering, develops methods to solve them and uses progressive methods in solutions.
    -
    -
    -
    -
    -
    6 Develops novel and/or original methods, designs complex systems or processes and develops progressive/alternative solutions in designs
    -
    -
    -
    -
    -
    7 Designs and implements studies based on theory, experiments and modelling; analyses and resolves the complex problems that arise in this process.
    -
    -
    -
    -
    -
    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.
    -
    -
    -
    -
    -
    9 Engages in written and oral communication at least in Level B2 of the European Language Portfolio Global Scale.
    -
    -
    -
    -
    -
    10 Communicates the process and the results of his/her studies in national and international venues systematically, clearly and in written or oral form.
    -
    -
    -
    -
    -
    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.
    -
    -
    -
    -
    -
    12 Highly regards scientific and ethical values in data collection, interpretation, communication and in every professional activity.
    -
    -
    -
    -
    -

    *1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

     


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