Image, video and 3D graphics compression

Catalogue des cours de Télécom SudParis

Code

IGSF IMA 4508

Niveau

M1

Graduate

Graduate

Semestre

Spring

Domaine

Image

Programme

Programme Ingénieur

Langue

Anglais/English

Crédits ECTS

4

Heures programmées

45

Charge de travail

90

Coordonnateur(s)

Département

  • Advanced Research and Techniques for Multidimensional Imaging Systems

Equipe pédagogique

Acquis d'apprentissage

At the end of this module, the students should be able to:
- Enounce the scientific challenges derived from the scalable coding and universal access paradigms,
- Explain the underlying fundamental principles and mathematical tools involved in the field of visual content compression,
- Describe and interpret existing or emerging image/video/3D compression standards,
- Evaluate the pertinence of a given compression standard or method within the framework of a specific application,
- Examine a given compression chain and enounce advantages, limitations and area of applicability
- Design and implement a dedicated compression technique within the framework of realistic industrial applications (e.g. digital TV, telesurveillance, robotics, 3D gaming...).

Contenu

- New challenges for multimedia compression: digital terrestrial TV, High (and Ultra High)-Definition TV, scalability and technological convergence
- Generic principles of image compression techniques
- Decorrelation techniques, predictive approaches, transform-based and hybrid methods
- Quantization techniques
- Motion estimation and compensation
- Binary coding: arithmetic coding, error resilient tools
- Multiresolution image coding: wavelet-based approaches
- Scalable and adaptive compression techniques
- The JPEG standards: from JPEG to MotionJPEG
- The MPEG standards: from MPEG-1 to MPEG-4 HEVC (H265)
- Static and dynamic 3D Graphics compression
- New challenges in multimedia compression

Prérequis

Basic programming knowledge in C/C++

Mots-clés

Image compression, mono / multi resolution coding techniques, transform-based approach, predictive methods, JPEG/MPEG standards, scalability, progressive transmission, technological convergence.

Evaluation

Two-student group project (P) (45h) linked to real industrial applications or to national/European research projects with oral defence (D).
Final mark = Average (P, D)

Compétences CDIO

Compétences principales

  • 1.1.1 - Mathématiques (y compris statistiques)
  • 1.2 - Connaissance des principes fondamentaux d'ingénierie
  • 1.3 - Connaissances avancées en ingénierie : méthodes et outils
  • 2.1.2 - Modélisation
  • 2.1.6 - Réflexions sur les problèmes et les paradoxes
Fiche mise à jour le 18/06/2018