The knowledge of the user Quality of Experience (QoE) of the accessed services is of crucial importance for the robust design and adaptation of multimedia streaming networks. In this article, a video QoE estimation metric for video streaming services is presented. The proposed metric does not require information on the original video or the impairments affecting the communication channels. Results show that the proposed method can efficiently estimate the video QoE.
Paudyal, P., Liu, Y., Battisti, F., Carli, M. (2016). Video Quality of Experience metric for streaming services. In Electronic Imaging, Image Processing: Algorithms and Systems XIV, pp. 1-5(5) (pp.1-5) [10.2352/ISSN.2470-1173.2016.15.IPAS-197].
Video Quality of Experience metric for streaming services
PAUDYAL, PRADIP;LIU, YIEWEI;BATTISTI, FEDERICA;CARLI, Marco
2016-01-01
Abstract
The knowledge of the user Quality of Experience (QoE) of the accessed services is of crucial importance for the robust design and adaptation of multimedia streaming networks. In this article, a video QoE estimation metric for video streaming services is presented. The proposed metric does not require information on the original video or the impairments affecting the communication channels. Results show that the proposed method can efficiently estimate the video QoE.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
