Image and video coding

EE-569 / 4 credits

Teacher:

Language: English

Remark: pas donné en 2024-25

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

Resources

Moodle Link

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

Reference week

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