Language of instruction: |
English |
Type of course: |
Non-Departmental Elective |
Course Level: |
Bachelor’s Degree (First Cycle)
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Mode of Delivery: |
Face to face
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Course Coordinator : |
Dr. Öğr. Üyesi ÖVGÜ ÖZTÜRK ERGÜN |
Course Lecturer(s): |
Dr. Öğr. Üyesi ÖVGÜ ÖZTÜRK ERGÜN
|
Recommended Optional Program Components: |
None |
Course Objectives: |
This course teaches fundamental topics related to multimedia systems and analysis. A top-down analysis of video processing applications, algorithms, tools, and fundamentals. Applications include digital TV, computer games, cinema special effects, 3D TV, medical imaging, and forensics. Algorithms include motion estimation, filtering and restoration, de-interlacing and enhancement, interpolation and super-resolution, stereo and 3D video processing, coding, and compression standards. |
Week |
Subject |
Related Preparation |
1) |
Introduction to Multimedia Systems |
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2) |
Introduction to Digital Images, Image Formats, Image Transformations |
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3) |
Histograms, Normalization |
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4) |
Convolution, Image Filtering Techniques |
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5) |
Morphological Operations |
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6) |
Blob Extraction, Blob Tracking |
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7) |
Segmentation |
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8) |
Image Features, Extraction and Modeling |
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9) |
Introduction to Information Theory and Coding |
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10) |
Image and Video Compression Techniques |
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11) |
Basics of Computer Networks |
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12) |
Image and Video Transmission |
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13) |
Image and Video Classification |
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14) |
Fundamentals of Big Data and Cloud Computing |
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Program Outcomes |
Level of Contribution |
1) |
- Possess advanced level theoretical and practical knowledge supported by textbooks with updated information, practice equipments and other resources. |
2 |
2) |
Use of advanced theoretical and practical knowledge within the field.
-Interpret and evaluate data, define and analyze problems, develop solutions based on research and proofs by using acquired advanced knowledge and skills within the field. |
4 |
3) |
Inform people and institutions, transfer ideas and solution proposals to problems in written and orally on issues in the field.
- Share the ideas and solution proposals to problems on issues in the field with professionals and non-professionals by the support of qualitative and quantitative data.
-Organize and implement project and activities for social environment with a sense of social responsibility.
-Monitor the developments in the field and communicate with peers by using a foreign language at least at a level of European Language Portfolio B1 General Level.
-Use informatics and communication technologies with at least a minimum level of European Computer Driving License Advanced Level software knowledge. |
5 |
4) |
Evaluate the knowledge and skills acquired at an advanced level in the field with a critical approach.
-Determine learning needs and direct the learning.
-Develop positive attitude towards lifelong learning. |
3 |
5) |
Act in accordance with social, scientific, cultural and ethic values on the stages of gathering, implementation and release of the results of data related to the field.
- Possess sufficient consciousness about the issues of universality of social rights, social justice, quality, cultural values and also, environmental protection, worker's health and security. |
3 |
6) |
Conduct studies at an advanced level in the field independently.
- Take responsibility both as a team member and individually in order to solve unexpected complex problems faced within the implementations in the field.
- Planning and managing activities towards the development of subordinates in the framework of a project |
3 |