%0 Conference Proceedings %T Machine Learning approach for global no-reference video quality model generation %+ Institut d'Électronique et des Technologies du numéRique (IETR) %+ Orange Labs [Lannion] %A Saidi, I. %A Zhang, Lu %A Barriac, V. %A Deforges, O. %< avec comité de lecture %B Applications of Digital Image Processing XLI 2018 %C San Diego, United States %Y Tescher A.G. (ed) %I SPIE %V 10752 %P 1075212 %8 2018-08-20 %D 2018 %R 10.1117/12.2320996 %K Machine Learning %K no reference metric %K QoE %K video coding and transmission %K video quality %Z Engineering Sciences [physics]Conference papers %G English %L hal-01904636 %U https://univ-rennes.hal.science/hal-01904636 %~ UNIV-NANTES %~ UNIV-RENNES1 %~ CNRS %~ INSA-RENNES %~ IETR %~ STATS-UR1 %~ CENTRALESUPELEC %~ UR1-HAL %~ UR1-MATH-STIC %~ UR1-UFR-ISTIC %~ IETR-VAADER %~ IETR-IMAGE %~ TEST-UR-CSS %~ UNIV-RENNES %~ INSA-GROUPE %~ TEST-HALCNRS %~ UR1-MATH-NUM %~ NANTES-UNIVERSITE %~ UNIV-NANTES-AV2022