Open collaboration on hybrid video quality models - VQEG joint effort group hybrid

Marcus Barkowsky (1) , Nicolas Staelens (2) , Lucjan Janowski (3)

1 irccyn-ivc
2 IBBT - IBBT, Department of Information Technology
3 AGH UST - AGH University of Science and Technology [Krakow, PL]

Several factors limit the advances on automatizing video quality measurement. Modelling the human visual system requires multi- and interdisciplinary efforts. A joint effort may bridge the large gap between the knowledge required in conducting a psychophysical experiment on isolated visual stimuli to engineering a universal model for video quality estimation under real-time constraints. The verification and validation requires input reaching from professional content production to innovative machine learning algorithms. Our paper aims at highlighting the complex interactions and the multitude of open questions as well as industrial requirements that led to the creation of the Joint Effort Group in the Video Quality Experts Group. The paper will zoom in on the first activity, the creation of a hybrid video quality model.

Mots clés: Databases; H.265 video coding; human visual system; hybrid video quality models; innovative machine learning algorithms; Joints; learning (artificial intelligence); Measurement; psychophysical experiment; Quality assessment; Standards; video coding; video quality estimation; video quality experts group; video quality measurement; Video recording; Video sequences; visual stimuli; VQEG joint effort group hybrid

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Marcus Barkowsky, Nicolas Staelens, Lucjan Janowski. Open collaboration on hybrid video quality models - VQEG joint effort group hybrid. 2013 IEEE 15th International Workshop on Multimedia Signal Processing (MMSP), Sep 2013, Pula, Italy. pp.476--481, ⟨10.1109/MMSP.2013.6659335⟩. ⟨hal-00999662⟩