This master research program offers an advanced training in information theory, source coding, signal processing for multimedia, networking, and multimedia security. An important part is devoted to the optimization of network architecture and protocols for the delivery of audio-visual contents. Labs, to make theoretical notions more concrete, illustrate most of the courses. A pluridisciplinary research project prepares students to research. Seminars, whose topics are continuously renewed, present hot research directions, as well as key industrial applications.
Language of instruction: English
Duration: 1 year
Courses location: Palaiseau
Educational objectives of Multimedia Networking
The Multimedia Networking master program aims at training students on topics associated with the compression of multimedia content, the transmission of compressed data through a network, and the development of algorithms and network architectures for a fast, reliable, and efficient access to multimedia contents.
Multimedia Networking offers basic training in information theory, source coding, signal processing for multimedia, networking, and multimedia security. An important part is devoted to the optimization of network architecture and protocols for the delivery of audio-visual contents.
Refresher in networking
This course recalls the main notions related to internet, its architecture and its protocols, 18h, 0 ECTS
Refresher in probability, random processes, estimation and signal processing
Remind and reinforce knowledge from probability theory, stochastic processes, exploring Discrete Fourier Transform, Z-transform and applications to signal processing and digital filter design, 18h, 0 ETS, 0
Refresher in source coding
This course provides an introduction to information theory focused on source coding (lossless source coding, lossy source coding, transform coding). The various building blocks of actual source coders are presented (sound coder, still image coder, video coder). The notions will be explained on various source coding standards such as JPEG, JPEG 2000, H264, MPEG 2 layer 3. The labs will illustrate all theoretical concepts.18h, 0 ECTS
Refresher in optimization (continuous variables and discrete optimization)
This course aims at providing some basic knowledge in optimization. The theoretical tools will be recalled. Algorithms and techniques will be presented with the goal to help students identify which one is the most appropriate to the situation of interest. Some illustrative applications will be presented. 18h, 0 ECTS
Mathematics of information and source coding
Provide solid theoretical foundations in information theory for source coding. 25h, 5 ECTS
This course aims to give students an overview of the panorama of modern techniques for compressing audio-visual signals. Based on an introduction to the physiology of perception, this course shows the most recent compression techniques for sound (perceptual coders) and images (wavelet transform). The course also provides a sufficiently comprehensive introduction to video encoding to allow students to profitably follow the transport modules in the 2nd semester. 25h, 5 ECTS
Content Distribution Networks: performance and models
Define the necessary mechanisms, protocols and architectures which enable IP networks to provide the Quality of Service (QoS) that is essential for the multimedia applications support. This course also defines the technical and theoretical background required to understand the architecture and the networking mechanisms of Content Distribution Networks. 25h, 5 ECTS
Multimedia content security: basic concepts
This track will give the students the opportunity (1) to master the fundamental concepts and the incremental challenges related to the security of the networked media (protection, integrity, certification, traceability, forensics); (2) to initiate to the underlying scientific paradigms and (3) to have a global view on their applications in the R&D world. 25h, 5 ECTS
Advanced compression techniques
This course complements the Multimedia Compression module, introducing advanced coding techniques. Mathematical models of quality are shown, as well as vector quantization techniques. Then the most important video coding standards are analyzed in terms of mathematical tools for compression. The mathematical models are used for optimizing the encoding techniques, and for allowing rate control. Coding techniques for upcoming video formats (3D, HDR) and for a better adaptation to transmission (scalability, multiple descriptions, distributed coding) are also shown. The course ends with an overview of the techniques used for compressing 3D graphic content. 25h, 5 ECTS
Audio-Visual transport (principles, protocols and advanced techniques)
Learn the fundamentals of transport techniques for audio-visual contents, understand how these concepts are used in the transport architectures, protocols and existing formats. Experiment with these protocols and standards. Get some insights in emerging techniques and research in progress in the field. 25h, 5 ECTS
Multimedia content security: advanced methods
This track completes the basic aspect in security by presenting advanced techniques required when the multimedia is delivered and consumed in networks and by presenting the related standardisation framework. The interactions and synergies between basic techniques (compression-protection, watermarking-cryptography-biometry) are also presented. 25h, 5 ECTS
Learning methods and control for content distribution
In this course, the tools for modelling and estimating audio/visual streaming characteristics are provided. Control theory techniques for end-to-end regulation mechanism of content distribution on a network are illustrated. 25h, 5 ECTS
Deep learning for multimedia
Deep learning based approaches have recently outperformed existing techniques in a number of signal processing and multimedia applications. The availability of large sets of annotated data, powerful yet affordable GPUs and novel optimization techniques are at the core of such revolution. The present course will cover topics such as convolutional, recurrent and adversarial neural networks, the relative training procedures and the existing frameworks for deep learning. The course will focus in particular on the application of such technologies to problems such as image classification, object segmentation, text reading and video compression. 25h, 5 ECTS
Present more advanced research topics linked to multimedia networking in general. Present some open research directions. Help students defining their own research topics. Three seminars are organized:
– High dynamics range imaging
– Image Quality Evaluation
– Multimedia Networks for Gaming 5ECTS
Give the opportunity to students to apply the theoretical notions studied in at least two different courses on a practical problem. Provide an introduction to research problems25h, 5 ECTS
• Information Processing and Communications Laboratory (LTCI) Telecom Paris
• SAMOVAR Telecom SudParis
• Laboratoire des Signaux et Systèmes (L2S)
Students of Multimedia Networking are likely to start a career in academic or industrial research labs with activities in multimedia signal processing, source coding, or networking. Graduate students may also work with content providers, telecom operators, regulators, companies specialized in multimedia engineering, etc.
• Multimedia Networking is open to students with a first-year master degree in applied mathematics, computer science, electrical engineering, or communication and networking or in their last year at engineering school.
• Foreign students with majors in applied mathematics, computer science, electrical engineering, or communication and networking are also welcomed.
• A background in signal processing, probability theory, linear algebra, and networking may be useful. Refreshers are provided in September.
Deadlines for the Master application sessions are as follows:
– First session: February 28, 2020
– Second session: April 30, 2020
– Third Session (optional): June 30, 2020 (only if there are availabilities remaining after the 2 first sessions)
Applications not finalized for a session will automatically be carried over to the next session.
You shall receive an answer 2 months after the application deadline of the session.
National master: Official tuition fees of the Ministry of Higher Education, Research and Innovation
(2019-2020, EU students: 243 euros / Non-EU students: 3770 euros)
Tel : + 33 1 60 76 44 37