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M2 Multimedia Networking

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  • Places available
    25
  • Language(s) of instruction
    English
Présentation
Objectives

The role of audiovisual information in our lives is growing at a phenomenal pace. Smartphones, tablets, augmented reality glasses equipped with increasingly efficient cameras and displays enable us to send and receive information via wireless networks, share content on community sites, and receive geographically marked information.

This research-oriented programme aims to give students research training in topics related to the compression of multimedia content, the transmission of this compressed data through a network, and the development of algorithms and network architectures for fast, reliable, and efficient access to this content.

This study path offers fundamental training in information theory, compression, signal processing for multimedia, networks and content security. A substantial part is devoted to techniques for optimising architectures for the transmission of audiovisual content. Deep learning tools for compressing, transporting and processing multimedia content are also introduced.

Location
PALAISEAU
Skills
  • Perform a bibliographic search on a research topic.

  • Formalise a research problem.

  • Apply theoretical knowledge in order to offer a solution to a research problem.

  • Design simulations / experiments to highlight the performance of the solution offered.

  • Demonstrate critical thinking about competing solutions and the solution offered.

  • Write a review article in English presenting a bibliography, describing a problem, solutions offered and experiment results, and present this work in English

Career prospects

The programme naturally leads to a thesis in research laboratories that operate in the field of multimedia content processing, compression and distribution. Master's graduates may also work in research and development positions with content providers, telecommunications operators, regulatory bodies, companies that specialise in multimedia engineering, etc.

Collaboration(s)
Laboratories

Laboratoire des Signaux et Systèmes.

Laboratoire Traitement et Communication de l'Information
Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux.

Programme

Le S1 comporte des UEs de remise à niveau, un tronc commun, et un projet.

Subjects ECTS Lecture directed study practical class Lecture/directed study Lecture/practical class directed study/practical class distance-learning course Project Supervised studies
Multimedia content security: basic concepts 5 20 6
Multimedia compression 5 22 3
Mathematics of Information and Source Coding 5 25
Content Distribution Networks: performance and models 5 20 2 3
Subjects ECTS Lecture directed study practical class Lecture/directed study Lecture/practical class directed study/practical class distance-learning course Project Supervised studies
Refresher in source coding 0 15 3
Refresher in probability, random processes, estimation and signal processing 0 15 3
Refresher in optimization (continuous variables and discrete optimization) 0 15 3
Refresher in networking 0 8 8
Subjects ECTS Lecture directed study practical class Lecture/directed study Lecture/practical class directed study/practical class distance-learning course Project Supervised studies
Joint project 5 100

Le S2 comporte des ECTS au choix, des séminaires, et un stage.

Subjects ECTS Lecture directed study practical class Lecture/directed study Lecture/practical class directed study/practical class distance-learning course Project Supervised studies
Multimedia content security: advanced methods 5 26
Learning and control techniques for multimedia content delivery 5 18 6
Deep Learning for Multimedia 5 12 12
Audio-Visual transport (principles, protocols and advanced techniques) 5 19 6
Advanced compression techniques 5 19 6
Subjects ECTS Lecture directed study practical class Lecture/directed study Lecture/practical class directed study/practical class distance-learning course Project Supervised studies
Internship 10 24
Subjects ECTS Lecture directed study practical class Lecture/directed study Lecture/practical class directed study/practical class distance-learning course Project Supervised studies
Seminars 5 24
Modalités de candidatures
Application period
From 15/01/2022 to 14/07/2022
Compulsory supporting documents
  • Curriculum Vitae.

  • All transcripts of the years / semesters validated since the high school diploma at the date of application.

  • Motivation letter.

Additional supporting documents
  • Certificate of English level (compulsory for non-English speakers).

  • The application procedure, which depends on your nationality and your situation is explained here : https://urlz.fr/i3Lo.

  • VAP file (obligatory for all persons requesting a valuation of the assets to enter the diploma).

Contact(s)
Course manager(s)
Admission