Introduction
The place of deep learning and audio-visual information keeps growing in our environment. Smartphones, tablets, or augmented reality glasses equipped with cameras and displays more and more efficient allow users to send and receive information via wireless networks, to share content on social networks, or to receive geographically connoted information. Moreover, the emergence of new multimedia formats (3D, UHD, High Dynamic range) open new challenges for an efficient and reliable transmission of such contents.
The Multimedia Networking: Coding, Security and Deep Learning is research oriented second year Electrical Engineering Master Program, jointly provided at Institut Polytechnic de Paris and Paris-Saclay University. It 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: Coding, Security and Deep Learning 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.
Students of Multimedia Networking: Coding, Security and Deep Learning 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.
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