Image and video coding
Summary
This course addresses coding of visual information. The primary focus will be on image and moving picture compression. Concrete examples of image and video coding algorithms such as those standardized under JPEG and MPEG are explained and compared.
Content
The course covers the following topics:
- Fundamentals tools in image and video processing.
- Overview of approaches to visual information coding and compression.
- Image coding algorithms: JPEG, JPEG 2000, JPEG XR, JPEG XT, JPEG XL, JPEG XS, JPEG AI
- Video coding algorithms: H.261, MPEG, MPEG-2, MPEG-4, H.264/AVC, H.265/HEVC, H.266/VVC
- Immersive content representation and coding
- Performance assessment and quality metrics
Keywords
JPEG, MPEG, Subjective quality assessment, quality metrics, immersive representation
Learning Prerequisites
Required courses
- Basic knowledge of signal processing and calculus
Recommended courses
N/A
Important concepts to start the course
N/A
Teaching methods
Lectures
Hands-on sessions
Mini-projects
Expected student activities
Submit reports of hands-on sessions
Presentartion of the mini-project
Assessment methods
- Final exam
- Assessment of submitted hands-on reports
- Assessment of mini-project presentation
In the programs
- Semester: Fall
- Exam form: Oral (winter session)
- Subject examined: Image and video coding
- Courses: 3 Hour(s) per week x 14 weeks
- Project: 1 Hour(s) per week x 14 weeks
- Type: optional
- Semester: Fall
- Exam form: Oral (winter session)
- Subject examined: Image and video coding
- Courses: 3 Hour(s) per week x 14 weeks
- Project: 1 Hour(s) per week x 14 weeks
- Type: optional
- Semester: Fall
- Exam form: Oral (winter session)
- Subject examined: Image and video coding
- Courses: 3 Hour(s) per week x 14 weeks
- Project: 1 Hour(s) per week x 14 weeks
- Type: optional