Performance of objective metrics to assess 3D video quality
With the rapid growth of three-dimensional (3D) video technologies, the design of objective quality assessment methods, i.e., metrics, that can reliably predict the quality of 3D content as perceived by the end user, is of crucial importance. Subjective tests are time consuming, expensive, and not always feasible. Therefore, objective measurements are needed as well, especially to assess advances in the design of coding technologies.
Philippe Hanhart was born in Lausanne, Switzerland, on February 2nd, 1987. He received his M.Sc. in Electrical Engineering form the Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland, in October 2011. From February 2011 until August 2011 he performed his Master thesis at Dolby Laboratories Inc., Burbank, California, USA. Since December 2011 he is doctoral assistant in the Multimedia Signal Processing Group, which is led by Professor Touradj Ebrahimi, at the Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland.
His research interests are in the fields of video processing, computer vision, and computer graphics for 3D quality of experience, 3D quality assessment, depth extraction, view synthesis, and stereo/multiview video compression.
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