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Visual coding (i.e. image/video compression) is an indispensable technology in audiovisual communications and can be found in countless environments including cameras, smartphones, browsers, platforms such as YouTube and Netflix, and even in the videoconferencing software which will broadcast the masterclass.

Recently, deep learning techniques used in computer vision have begun to be applied to visual compression, leading to methods which improve the results of traditional formats (e.g. H.264, HEVC).

In this masterclass we will review the basic concepts of image and video compression, comparing traditional approaches and the latest ones using deep learning and looking in particular at the latter.

Programa

  • Principles of image and video compression
  • Traditional methods
  • Methods based on neural networks

Masterclass taught by the CVC (CIDAI core partner)

Taught by:

Luis Herranz
Senior researcher (Ramón y Cajal fellow) at the Computer Vision Center of Barcelona

Luis previously worked at the Institute of Computing Technology, the Chinese Academy of Sciences with Mitsubishi Electric Research and Development, and with the Autonomous University of Madrid. His research interests include deep learning applied to numerous topics in computer vision and multimedia.