Representation, compression, storage, transmission and processing of multimedia. Signal representation of data and audio, speech, image, graphics, video signals. Multimedia compression techniques and standards. Content-based image and video indexing and retrieval. Fundamental technologies for multimedia communications and networking. Streaming audio and video over Internet and wireless/mobile networks. Error resilient communications. Internet multimedia content distribution.
Course Content
This course contains; Introduction to multimedia systems,Multimedia data / information representation and processing (Graphics and image data formats ),Fundamental concepts in video / Basics of digital audio
,Multimedia data compression (Lossless and lossy compression)
,Text and image compression / Video compression techniques and standards
,Audio/speech compression techniques/standards ,Multimedia network communications and applications,Midterm,Multimedia over IP and quality of service (QoS) ,Wireless/Mobile networks,Multimedia content distribution (Content delivery networks)
,Overlay and peer-to-peer networks,Multimedia information sharing and retrieval,Advanced Topics: Current state of technology in multimedia processing and communications.
Dersin Öğrenme Kazanımları
Teaching Methods
Assessment Methods
Know the basics of sampling theory, quantization, and coding
12, 6, 9
A, E, G
Apply transformations/mappings and compute transform coefficients
12, 6, 9
A, E, G
Compute entropy, bitrate, and PSNR
12, 6, 9
A, E, G
Recognize multimedia data formats and their application areas
12, 6, 9
A, E
Know the current trends and needs in multimedia coding and communication
12, 16, 9
E
Apply entropy coding techniques to various types of data
12, 6, 9
A, E, G
Integrate different coding tools and design compression algorithms
12, 6, 9
A, E
Design error detection methods for reliable communication
12, 6, 9
A, E, G
Recognize multimedia communication protocols in internet and wireless/mobile networks
12, 6, 9
A, E
Analyze alternative approaches for multimedia content distribution
12, 6, 9
A, E
Implement multimedia processing, transformation, coding and transmission algorithms in MATLAB/Python
12, 14, 6, 9
E, G
Teaching Methods:
12: Problem Solving Method, 14: Self Study Method, 16: Question - Answer Technique, 6: Experiential Learning, 9: Lecture Method
Assessment Methods:
A: Traditional Written Exam, E: Homework, G: Quiz
Course Outline
Order
Subjects
Preliminary Work
1
Introduction to multimedia systems
2
Multimedia data / information representation and processing (Graphics and image data formats )
3
Fundamental concepts in video / Basics of digital audio
4
Multimedia data compression (Lossless and lossy compression)
5
Text and image compression / Video compression techniques and standards
6
Audio/speech compression techniques/standards
7
Multimedia network communications and applications
8
Midterm
9
Multimedia over IP and quality of service (QoS)
10
Wireless/Mobile networks
11
Multimedia content distribution (Content delivery networks)
12
Overlay and peer-to-peer networks
13
Multimedia information sharing and retrieval
14
Advanced Topics: Current state of technology in multimedia processing and communications
Resources
Ze-Nian Li, Mark S Drew, J. Liu, Fundamentals of Multimedia, 2nd ed., Springer, 2014.
Fred Halsall, Multimedia Communications: Applications, Networks, Protocols and Standards, Addison-Wesley, 2001. Multimedia over IP and Wireless Networks: Compression, networking, and Systems, by Mihaela van der Schaar. And Philip Chou, Academic Press, 2007.
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications
No
Program Qualification
Contribution Level
1
2
3
4
5
1
1. An ability to apply knowledge of mathematics, science, and engineering
2
2. An ability to identify, formulate, and solve engineering problems
X
3
3. An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability
X
4
4. An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice
X
5
5. An ability to design and conduct experiments, as well as to analyze and interpret data
6
6. An ability to function on multidisciplinary teams
X
7
7. An ability to communicate effectively
8
8. A recognition of the need for, and an ability to engage in life-long learning
X
9
9. An understanding of professional and ethical responsibility
10
10. A knowledge of contemporary issues
11
11. The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context
Assessment Methods
Contribution Level
Absolute Evaluation
Rate of Midterm Exam to Success
30
Rate of Final Exam to Success
70
Total
100
ECTS / Workload Table
Activities
Number of
Duration(Hour)
Total Workload(Hour)
Course Hours
14
3
42
Guided Problem Solving
0
0
0
Resolution of Homework Problems and Submission as a Report
8
8
64
Term Project
14
2
28
Presentation of Project / Seminar
0
0
0
Quiz
0
0
0
Midterm Exam
1
20
20
General Exam
1
30
30
Performance Task, Maintenance Plan
0
0
0
Total Workload(Hour)
184
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(184/30)
6
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.
Detail Informations of the Course
Course Description
Course
Code
Semester
T+P (Hour)
Credit
ECTS
MULTIMEDIA PROCESSING and COMMUNICATIONS
-
Fall Semester
3+0
3
6
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of Course
English
Course Level
First Cycle (Bachelor's Degree)
Course Type
Elective
Course Coordinator
Prof.Dr. Bahadır Kürşat GÜNTÜRK
Name of Lecturer(s)
Prof.Dr. Bahadır Kürşat GÜNTÜRK
Assistant(s)
Aftab Ahmed
Aim
Representation, compression, storage, transmission and processing of multimedia. Signal representation of data and audio, speech, image, graphics, video signals. Multimedia compression techniques and standards. Content-based image and video indexing and retrieval. Fundamental technologies for multimedia communications and networking. Streaming audio and video over Internet and wireless/mobile networks. Error resilient communications. Internet multimedia content distribution.
Course Content
This course contains; Introduction to multimedia systems,Multimedia data / information representation and processing (Graphics and image data formats ),Fundamental concepts in video / Basics of digital audio
,Multimedia data compression (Lossless and lossy compression)
,Text and image compression / Video compression techniques and standards
,Audio/speech compression techniques/standards ,Multimedia network communications and applications,Midterm,Multimedia over IP and quality of service (QoS) ,Wireless/Mobile networks,Multimedia content distribution (Content delivery networks)
,Overlay and peer-to-peer networks,Multimedia information sharing and retrieval,Advanced Topics: Current state of technology in multimedia processing and communications.
Dersin Öğrenme Kazanımları
Teaching Methods
Assessment Methods
Know the basics of sampling theory, quantization, and coding
12, 6, 9
A, E, G
Apply transformations/mappings and compute transform coefficients
12, 6, 9
A, E, G
Compute entropy, bitrate, and PSNR
12, 6, 9
A, E, G
Recognize multimedia data formats and their application areas
12, 6, 9
A, E
Know the current trends and needs in multimedia coding and communication
12, 16, 9
E
Apply entropy coding techniques to various types of data
12, 6, 9
A, E, G
Integrate different coding tools and design compression algorithms
12, 6, 9
A, E
Design error detection methods for reliable communication
12, 6, 9
A, E, G
Recognize multimedia communication protocols in internet and wireless/mobile networks
12, 6, 9
A, E
Analyze alternative approaches for multimedia content distribution
12, 6, 9
A, E
Implement multimedia processing, transformation, coding and transmission algorithms in MATLAB/Python
12, 14, 6, 9
E, G
Teaching Methods:
12: Problem Solving Method, 14: Self Study Method, 16: Question - Answer Technique, 6: Experiential Learning, 9: Lecture Method
Assessment Methods:
A: Traditional Written Exam, E: Homework, G: Quiz
Course Outline
Order
Subjects
Preliminary Work
1
Introduction to multimedia systems
2
Multimedia data / information representation and processing (Graphics and image data formats )
3
Fundamental concepts in video / Basics of digital audio
4
Multimedia data compression (Lossless and lossy compression)
5
Text and image compression / Video compression techniques and standards
6
Audio/speech compression techniques/standards
7
Multimedia network communications and applications
8
Midterm
9
Multimedia over IP and quality of service (QoS)
10
Wireless/Mobile networks
11
Multimedia content distribution (Content delivery networks)
12
Overlay and peer-to-peer networks
13
Multimedia information sharing and retrieval
14
Advanced Topics: Current state of technology in multimedia processing and communications
Resources
Ze-Nian Li, Mark S Drew, J. Liu, Fundamentals of Multimedia, 2nd ed., Springer, 2014.
Fred Halsall, Multimedia Communications: Applications, Networks, Protocols and Standards, Addison-Wesley, 2001. Multimedia over IP and Wireless Networks: Compression, networking, and Systems, by Mihaela van der Schaar. And Philip Chou, Academic Press, 2007.
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications
No
Program Qualification
Contribution Level
1
2
3
4
5
1
1. An ability to apply knowledge of mathematics, science, and engineering
2
2. An ability to identify, formulate, and solve engineering problems
X
3
3. An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability
X
4
4. An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice
X
5
5. An ability to design and conduct experiments, as well as to analyze and interpret data
6
6. An ability to function on multidisciplinary teams
X
7
7. An ability to communicate effectively
8
8. A recognition of the need for, and an ability to engage in life-long learning
X
9
9. An understanding of professional and ethical responsibility
10
10. A knowledge of contemporary issues
11
11. The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context
