Undergraduate
Faculty of Engineering and Architecture
Computer Engineering
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Computer Engineering Main Page / Program Curriculum / Multimedia Compression and Processing

Multimedia Compression and Processing

Course CodeSemester Course Name LE/RC/LA Course Type Language of Instruction ECTS
CSE0453 Multimedia Compression and Processing 2/0/2 DE English 6
Course Goals

Multimedia data has become an indispensable part of our daily life and modern computer technology. Multimedia hardware and software, issues in effectively representing, processing and transmitting multimedia data topics will be introduced in multimedia systems design.

This course will give information about principles and current technologies of multimedia systems. Representing, processing, and retrieving multimedia data such as sound, music, image, animation, video and graphics will be discussed.

Prerequisite(s) -
Corequisite(s) -
Special Requisite(s) -
Instructor(s)
Course Assistant(s) -
Schedule The course is not opened for this semester.
Office Hour(s) The course is not opened for this semester.
Teaching Methods and Techniques The lectures are given all in laboratuvary to understand and process the multimedia file types  by implementing each stage of the study.

 
Principle Sources

1-Fundamentals of Multimedia by Li and Drew, Prentice Hall,  ISBN- 13: 978-0130618726

2- Data Compression, The Complete Reference, Third Edition ISBN- 0-387-40697-2

Other Sources -
Course Schedules
Week Contents Learning Methods
1. Week Introduction to Multimedia Systems Oral Representation, Case Study
2. Week Multimedia Tools and Libraries (Matlab, SDL, OpenCV and Others) Oral Representation, Case Study
3. Week Information Theory and Transmission Oral Representation, Case Study
4. Week Image File formats and Processing Oral Representation, Case Study
5. Week Image Processing and Analysis in Multimedia Applications Oral Representation, Case Study
6. Week Noise Reduction in Image Oral Representation, Case Study
7. Week Edge Detection in Image Oral Representation, Case Study
8. Week Colored Image Formats and Processing Oral Representation, Case Study
9. Week Adobe Photoshop and pixel based drawing Oral Representation, Case Study
10. Week Lossless Compression- Huffman Coding Oral Representation, Case Study
11. Week Loosy Compression- JPEG 2000 and DCT Transform Oral Representation, Case Study
12. Week Audio Analysis, Compression and Standards Oral Representation, Case Study
13. Week Video Analysis and Formats Oral Representation, Case Study
14. Week Course Review Oral Representation, Case Study
15. Week
16. Week
17. Week
Assessments
Evaluation tools Quantity Weight(%)
Midterm(s) 2 60
Final Exam 1 40


Program Outcomes
PO-1Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems.
PO-2Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose.
PO-3Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way so as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues according to the nature of the design.)
PO-4Ability to devise, select, and use modern techniques and tools needed for engineering practice; ability to employ information technologies effectively.
PO-5Ability to design and conduct experiments, gather data, analyse and interpret results for investigating engineering problems.
PO-6Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
PO-7Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language.
PO-8Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
PO-9Awareness of professional and ethical responsibility.
PO-10Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development.
PO-11Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions.
Learning Outcomes
LO-1understand the basic data compression algorithms;
LO-2Understand the multimedia file types
LO-3implement the compression algorithms;
LO-4Process the multimedia files
LO-5understand and describe various models of data;
Course Assessment Matrix:
Program Outcomes - Learning Outcomes Matrix
 PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10PO 11
LO 1
LO 2
LO 3
LO 4
LO 5