Application of full-reference video quality metrics in IPTVShow others and affiliations
2017 (English)In: 2017 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), IEEE Computer Society, 2017, p. 464-467Conference paper, Published paper (Refereed)
Abstract [en]
Executing an accurate full-reference metric such as VQM can take minutes in an average computer for just one user. Therefore, it can be unfeasible to analyze all the videos received by users in an IPTV network for example consisting of 10.000 users using a single computer running the VQM metric. One solution can be to use a lightweight no-reference metrics in addition to the full-reference metric mentioned. Lightweight no-reference metrics can be used for discarding potential situations to evaluate because they are accurate enough for that task, and then the full-reference metric VQM can be used when more accuracy is needed. The work in this paper is focused on determining the maximum number of situations/users that can be analyzed simultaneously using the VQM metric in a computer with good performance. The full-reference metric is applied on the transmitter using a method specified in the recommendation ITU BT.1789. The best performance achieved was 112.8 seconds per process.
Place, publisher, year, edition, pages
IEEE Computer Society, 2017. p. 464-467
Series
IEEE International Symposium on Broadband Multimedia Systems and Broadcasting
Keywords [en]
IPTV & Internet TV, Objective evaluation techniques, Performance evaluation, QoE
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:miun:diva-32192DOI: 10.1109/BMSB.2017.7986191ISI: 000414279400087Scopus ID: 2-s2.0-85027248799ISBN: 978-1-5090-4937-0 (print)OAI: oai:DiVA.org:miun-32192DiVA, id: diva2:1161310
Conference
12th IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2017; Cagliari; Italy; 7 June 2017 through 9 June 2017
2017-11-292017-11-292019-10-11Bibliographically approved