Comparison of ACR Methods for 360° Video Quality Assessment Subject to Participants' Experience with Immersive MediaShow others and affiliations
2020 (English)In: 2020 14th International Conference on Signal Processing and Communication Systems, ICSPCS 2020 - Proceedings / [ed] Wysocki T.A.,Wysocki B.J., Institute of Electrical and Electronics Engineers Inc. , 2020, article id 9310071Conference paper, Published paper (Refereed)
Abstract [en]
Watching 360° videos on head-mounted displays (HMDs) has become more popular in recent years. As such, subjective quality assessment of 360° videos on HMDs is needed to obtain a ground truth on the quality as perceived by users. Due to the lack of standardized methods, the absolute category rating (ACR) with hidden reference (ACR-HR) method for conventional videos has also been used for subjective quality assessment of 360° videos on HMDs. A modified ACR (M-ACR) method tailored for assessing 360° videos on HMDs has recently been proposed. In this paper, we compare the ACR-HR and M-ACR with hidden reference (M-ACR-HR) method regarding subjective quality assessment of 360° videos on HMDs. The comparison is conducted subject to participants' experience with watching immersive media on HMDs. The findings include: 1) Average rating times to cast opinion scores is lower for the ACR-HR method irrespective of participants' experience, 2) Mean opinion scores are similar for both methods irrespective of participants' experience, 3) The M-ACR-HR method is more reliable, especially with experts and participants with no experience, 4) Discomfort is significantly lower for the ACR-HR method, especially, for participants with no experience. © 2020 IEEE.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2020. article id 9310071
Keywords [en]
Helmet mounted displays, Absolute category ratings, Ground truth, Head mounted displays, Immersive media, Mean opinion scores, Standardized methods, Subjective quality assessments, Video quality assessment, Signal processing
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:bth-21062DOI: 10.1109/ICSPCS50536.2020.9310071Scopus ID: 2-s2.0-85100031773ISBN: 9781728199726 (print)OAI: oai:DiVA.org:bth-21062DiVA, id: diva2:1528016
Conference
14th International Conference on Signal Processing and Communication Systems, ICSPCS 2020, Virtual, Adelaide, Australia, 14 December 2020 through 16 December 2020
Part of project
VIATECH- Human-Centered Computing for Novel Visual and Interactive Applications, Knowledge Foundation
Funder
Knowledge Foundation, 2018/863,20170056
Note
open access
2021-02-122021-02-122021-07-02Bibliographically approved