DIGITAL VIDEO PROCESSING

Course Description

The general aim of Digital Video Processing is to explore the structure of the video and to understand the nature of moving images and editing them digitally. Basics of digital video editing tools such as Adobe Premiere and After Effects will be given to the students as the tools to work with. Students will be expected to use their previous design experience with their new tools. Within the scope of the course spatio-temporal sampling, motion analysis, parametric motion models, motion-compensated filtering, and video processing operations including noise reduction, restoration, super-resolution, deinterlacing and video sampling structure conversion, and compression will be examined. Video segmentation and layered video representations, watermarking, video streaming, compressed-domain video processing, and digital TV will also be covered in the course.

DIGITAL VIDEO PROCESSING

Evaluation Tools (Active Term)

Course outcomes

1. 01 Identifies best practice in the management of digital images.
2. 02 Processes different tools; video, audio, photo and text to narrate digital stories.
3. 03 Demonstrates managing pre-production, production and post-production processes. for video production.
4. 04 Visualizes creative expressions and reflects critical perspectives.

Course Syllabus

Reference Books & Course Materials

1. 01 Thompson, R. Bowen, C. (2024). Grammar of The Edit (5th ed.). New York: Focal Press
2. 02 Owens, J. (2020). Television Production (17th ed.). London: Taylor & Francis Group.
3. 03 Orlebar, J. (2002). Digital Television Production. London:Arnold.
4. 04 Miller, C.H. (2020). Digital Storytelling (4th ed.). New York: CRC Press

Learning Outcomes

1. L01 Identifies best practice in the management of digital images. SOLO 2
2. L02 Processes different tools; video, audio, photo and text to narrate digital stories. SOLO 3
3. L03 Demonstrates managing pre-production, production and post-production processes for video production. SOLO 4
4. L04 Visualizes creative expressions and reflects critical perspectives. SOLO 5

Program Outcomes

1. P01 Knowledge of mathematics, natural sciences, basic engineering, computer-based computation, and topics specific to the relevant engineering discipline.
2. P02 Ability to apply knowledge of mathematics, natural sciences, basic engineering, computer-based computation, and topics specific to the relevant engineering discipline to the solution of complex engineering problems.
3. P03 Ability to define complex engineering problems by using knowledge of basic sciences, mathematics, and engineering, while considering the relevant United Nations Sustainable Development Goals (SDGs) related to the problem addressed.
4. P04 Ability to formulate complex engineering problems using knowledge of basic sciences, mathematics, and engineering, while considering the relevant United Nations Sustainable Development Goals (SDGs) associated with the problem addressed.
5. P05 Ability to analyse and solve complex engineering problems using knowledge of basic sciences, mathematics, and engineering, while considering the relevant United Nations Sustainable Development Goals (SDGs) associated with the problem addressed.
6. P06 Ability to design creative solutions to complex engineering problems.
7. P07 Ability to design complex systems, processes, devices, or products in a way that meets present and future needs while considering realistic constraints and conditions.
8. P08 Ability to select and use appropriate techniques and resources—including estimation and modelling—for the analysis and solution of complex engineering problems, while being aware of their limitations.
9. P09 Ability to select and use modern engineering and computational tools—including estimation and modelling—for the analysis and solution of complex engineering problems, while being aware of their limitations.
10. P10 Ability to conduct literature research and use appropriate research methods for the investigation of complex engineering problems.
11. P11 Ability to design experiments for the investigation of complex engineering problems.
12. P12 Ability to conduct experiments, collect data, analyse results, and interpret findings for the investigation of complex engineering problems.
13. P13 Knowledge of the impacts of engineering practices on society, health and safety, the economy, sustainability, and the environment within the framework of the United Nations Sustainable Development Goals (SDGs).
14. P14 Awareness of the legal implications of engineering solutions within the framework of the United Nations Sustainable Development Goals (SDGs).
15. P15 Knowledge of ethical responsibility and adherence to the principles of professional engineering conduct.
16. P16 Awareness of acting impartially without discrimination in any matter and of being inclusive of diversity.
17. P17 Ability to work effectively as an individual.
18. P18 Ability to work effectively as a team member or leader in intra-disciplinary teams (face-to-face, remote, or hybrid).
19. P19 Ability to work effectively as a team member or leader in multidisciplinary teams (face-to-face, remote, or hybrid).
20. P20 Ability to communicate effectively in spoken form on technical matters, taking into account the diverse characteristics of the target audience (such as education, language, and profession).
21. P21 Ability to communicate effectively in written form on technical matters, taking into account the diverse characteristics of the target audience (such as education, language, and profession).
22. P22 Knowledge of professional practices such as project management and economic feasibility analysis.
23. P23 Awareness of entrepreneurship and innovation.
24. P24 Ability for independent and lifelong learning.
25. P25 Ability to adapt to new and emerging technologies.
26. P26 Lifelong learning ability that includes the capacity to think critically about technological changes.

Po-Lo Matrix