A Subjective and Objective Study of Space-Time Subsampled Video Quality
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Dae Yeol | - |
dc.contributor.author | Paul, Somdyuti | - |
dc.contributor.author | Bampis, Christos G. | - |
dc.contributor.author | Ko, Hyunsuk | - |
dc.contributor.author | Kim, Jongho | - |
dc.contributor.author | Jeong, Se Yoon | - |
dc.contributor.author | Homan, Blake | - |
dc.contributor.author | Bovik, Alan C. | - |
dc.date.accessioned | 2022-07-18T01:21:34Z | - |
dc.date.available | 2022-07-18T01:21:34Z | - |
dc.date.created | 2022-06-03 | - |
dc.date.issued | 2022-01 | - |
dc.identifier.issn | 1057-7149 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/108016 | - |
dc.description.abstract | Video dimensions are continuously increasing to provide more realistic and immersive experiences to global streaming and social media viewers. However, increments in video parameters such as spatial resolution and frame rate are inevitably associated with larger data volumes. Transmitting increasingly voluminous videos through limited bandwidth networks in a perceptually optimal way is a current challenge affecting billions of viewers. One recent practice adopted by video service providers is space-time resolution adaptation in conjunction with video compression. Consequently, it is important to understand how different levels of space-time subsampling and compression affect the perceptual quality of videos. Towards making progress in this direction, we constructed a large new resource, called the ETRI-LIVE Space-Time Subsampled Video Quality (ETRI-LIVE STSVQ) database, containing 437 videos generated by applying various levels of combined space-time subsampling and video compression on 15 diverse video contents. We also conducted a large-scale human study on the new dataset, collecting about 15,000 subjective judgments of video quality. We provide a rate-distortion analysis of the collected subjective scores, enabling us to investigate the perceptual impact of space-time subsampling at different bit rates. We also evaluated and compare the performance of leading video quality models on the new database. The new ETRI-LIVE STSVQ database is being made freely available at (https://live.ece.utexas.edu/research/ETRI-LIVE_STSVQ/index.html). | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Institute of Electrical and Electronics Engineers | - |
dc.title | A Subjective and Objective Study of Space-Time Subsampled Video Quality | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Ko, Hyunsuk | - |
dc.identifier.doi | 10.1109/TIP.2021.3137658 | - |
dc.identifier.scopusid | 2-s2.0-85122277513 | - |
dc.identifier.wosid | 000739998500004 | - |
dc.identifier.bibliographicCitation | IEEE Transactions on Image Processing, v.31, pp.934 - 948 | - |
dc.relation.isPartOf | IEEE Transactions on Image Processing | - |
dc.citation.title | IEEE Transactions on Image Processing | - |
dc.citation.volume | 31 | - |
dc.citation.startPage | 934 | - |
dc.citation.endPage | 948 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.subject.keywordPlus | IMAGE | - |
dc.subject.keywordAuthor | Streaming media | - |
dc.subject.keywordAuthor | Image coding | - |
dc.subject.keywordAuthor | Video recording | - |
dc.subject.keywordAuthor | Quality assessment | - |
dc.subject.keywordAuthor | Spatial resolution | - |
dc.subject.keywordAuthor | Bit rate | - |
dc.subject.keywordAuthor | Spatial databases | - |
dc.subject.keywordAuthor | Video quality database | - |
dc.subject.keywordAuthor | space-time subsampled video coding | - |
dc.subject.keywordAuthor | human study | - |
dc.subject.keywordAuthor | perceptual quality | - |
dc.subject.keywordAuthor | video quality assessment | - |
dc.identifier.url | https://arxiv.org/abs/2102.00088 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
55 Hanyangdeahak-ro, Sangnok-gu, Ansan, Gyeonggi-do, 15588, Korea+82-31-400-4269 sweetbrain@hanyang.ac.kr
COPYRIGHT © 2021 HANYANG UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.