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

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.
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].
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11590/309106
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