COmpression Video (COV)

Image/Video compression - ESIR 3 - Université Rennes 1

Description

This module provides a detailed overview of the video compression algorithms for efficient transmisison and storage.

Content

• Lossless source coding
• Rate distortion theory and quantization
• Transform Coding/predictive coding
• Hybrid video coding scheme and video codecs
• Practical issues and video quality assessment
• AI-based video coding

Acquired skills

• Understanding the fundamentals of video coding
• Knowing the tools to compress videos
• Knowing the tools to evaluate a video compression algorithms

Teachers

Aline Roumy (Inria) responsible, Mohsen Abdoli (Ateme), Thomas Guionnet (Ateme).

Course schedule (2024-2025)

• Aline Roumy: 5 courses (CM/TD)
• Mohsen Abdoli: 5 courses (CM/TP)
• Thomas Guionnet: 5 courses (CM/TP)

Course Notes

• Repository.

Evaluation

• PRESENTATION ARTICLE :
• DATE : 27/01/2025 à 13:15
• MODALITES : Présentation article (5 min présention / 5 min questions) Modalités évaluation
• ARTICLES : au choix 1 parmi (file of all papers)
  
  • Topic: 360
    Yu, M., Lakshman, H., and Girod, B. A framework to evaluate omnidirectional video coding schemes. In IEEE International Symposium on Mixed and Augmented Reality 2015.
  • Topic: Learning based compression
    J. Ballé, D. Minnen, S. Singh, S. J. Hwang, N. Johnston, “Variational Image Compression With a Scale Hyperprior,” International Conference on Learning Representations, Vancouver, Canada, April 2018.
  • Topic: Storage on DNA
    PAPER 1: Meinolf Blawat, Klaus Gaedke, Ingo Huetter, Xiao-Ming Chen, Brian Turczyk, Samuel Inverso, Benjamin W Pruitt, and George M Church. Forward error correction for DNA data storage. Procedia Computer Science, 80:1011–1022, 2016.
    PAPER 2: Melpomeni Dimopoulou, Marc Antonini, Pascal Barbry, and Raja Appuswamy. A biologically constrained encoding solution for long-term storage of images onto synthetic DNA. In 2019 27th European Signal Processing Conference (EUSIPCO), 2019.