RT Journal Article
T1 Full-reference video quality metric assisted the development of no-reference bitstream video quality metrics for real-time network monitoring
A1 Sedano, Iñigo
A1 Brunnström, Kjell
A1 Kihl, Maria
A1 Aurelius, Andreas
AB High-quality video is being increasingly delivered over Internet Protocol networks, which means that network operators and service providers need methods to measure the quality of experience (QoE) of the video services. In this paper, we propose a method to speed up the development of no-reference bitstream objective metrics for estimating QoE. This method uses full-reference objective metrics, which makes the process significantly faster and more convenient than using subjective tests. In this process, we have evaluated six publicly available full-reference objective metrics in three different databases, the EPFL-PoliMI database, the HDTV database, and the Live Video Wireless database, all containing transmission distortions in H.264 coded video. The objective metrics could be used to speed up the development process of no-reference real-time video QoE monitoring methods that are receiving great interest from the research community. We show statistically that the full-reference metric Video Quality Metric (VQM) performs best considering all the databases. In the EPFL-PoliMI database, SPATIAL MOVIE performed best and TEMPORAL MOVIE performed worst. When transmission distortions are evaluated, using the compressed video as the reference provides greater accuracy than using the uncompressed original video as the reference, at least for the studied metrics. Further, we use VQM to train a lightweight no-reference bitstream model, which uses the packet loss rate and the interval between instantaneous decoder refresh frames, both easily accessible in a video quality monitoring system.
SN 1687-5176
YR 2014
FD 2014-01
LK https://hdl.handle.net/11556/4246
UL https://hdl.handle.net/11556/4246
LA eng
NO Sedano , I , Brunnström , K , Kihl , M & Aurelius , A 2014 , ' Full-reference video quality metric assisted the development of no-reference bitstream video quality metrics for real-time network monitoring ' , Eurasip Journal on Image and Video Processing , vol. 2014 , 4 . https://doi.org/10.1186/1687-5281-2014-4
NO This work was developed inside the Future Internet project supported by the Basque Government within the ETORTEK Programme and the FuSeN project supported by the Spanish Ministerio de Ciencia e Innovación, under grant from Fundación Centros Tecnológicos - Iñaki Goenaga and Tecnalia Research & Innovation. The work was also partly financed by the CELTIC project IPNQSIS, and the national project EFRAIM, with the Swedish Governmental Agency for Innovation Systems (VINNOVA) supporting the Swedish contribution.
DS TECNALIA Publications
RD 28 jul 2024