TU Berlin

Fachgebiet NachrichtenübertragungWiss. Veröffentlichungen

Inhalt des Dokuments

zur Navigation

Wissenschaftliche Veröffentlichungen

Motion-Aware Video Quality Assessment
Zitatschlüssel 1514Arvanitidou2017
Autor M. Arvanitidou and T. Sikora
Buchtitel 51st Asilomar Conference on Signals, Systems, and Computers 2017
Jahr 2017
Adresse Pacific Grove, CA, USA
Monat oct
Verlag IEEE
Organisation IEEE Signal Processing Society
Zusammenfassung This work focuses on considering motion towards improving video quality assessment algorithms. The improvement refers to improving computational video quality assessment algorithms in order to be in closer agreement with the subjective evaluation of video quality. We propose a motion saliency model that exploits motion features on spatial level and also an approach for consideration of global motion in the temporal dimension, leading to further improvements in the accuracy of video quality assessment. We perform evaluation by integrating our approaches in existing objective quality models and also by comparing them to existing related state-of-the-art video quality assessment methods.
Link zur Publikation Download Bibtex Eintrag

Navigation

Direktzugang

Schnellnavigation zur Seite über Nummerneingabe