Estimation of Perceptual Redundancies of HEVC Encoded Dynamic Textures

Karam Naser (1) , Vincent Ricordel (1) , Patrick Le Callet (1)

1 IRCCyN - Institut de Recherche en Communications et en Cybernétique de Nantes

Statistical redundancies have been the dominant target in the image/video compression standards. Perceptually, there exists further redundancies that can be removed to further enhance the compression efficiency. In this paper, we considered short term homogeneous patches that fall into the foveal vision as dynamic textures, for which a psychophysical test was used to estimate their amount of perceptual redundancies. We demonstrated the possible rate saving by utilizing these redundancies. We further designed a learning model that can precisely predict the amount of redundancies and accordingly proposed a generalized perceptual optimization framework.

Mots clés: Suprathreshold JND; Perceptual Video Coding; Beyond HEVC

Domaines: Multimédia [cs.MM]

Karam Naser, Vincent Ricordel, Patrick Le Callet. Estimation of Perceptual Redundancies of HEVC Encoded Dynamic Textures. 8th International Conference on Quality of Multimedia Experience, Jun 2016, Lisbon, Portugal. ⟨hal-01332130⟩