SHVC Tile-Based 360-Degree Video Streaming for Mobile VR: PC Offloading Over mmWave
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Dien Van Nguyen | - |
dc.contributor.author | Tuan Thanh Le | - |
dc.contributor.author | Lee, Sangsoon | - |
dc.contributor.author | Ryu, Eun-Seok | - |
dc.date.available | 2020-02-27T08:42:22Z | - |
dc.date.created | 2020-02-06 | - |
dc.date.issued | 2018-11 | - |
dc.identifier.issn | 1424-8220 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/3126 | - |
dc.description.abstract | 360-degree video streaming for high-quality virtual reality (VR) is challenging for current wireless systems because of the huge bandwidth it requires. However, millimeter wave (mmWave) communications in the 60 GHz band has gained considerable interest from the industry and academia because it promises gigabit wireless connectivity in the huge unlicensed bandwidth (i.e., up to 7 GHz). This massive unlicensed bandwidth offers great potential for addressing the demand for 360-degree video streaming. This paper investigates the problem of 360-degree video streaming for mobile VR using the SHVC, the scalable of High-Efficiency Video Coding (HEVC) standard and PC offloading over 60 GHz networks. We present a conceptual architecture based on advanced tiled-SHVC and mmWave communications. This architecture comprises two main parts. (1) Tile-based SHVC for 360-degree video streaming and optimizing parallel decoding. (2) Personal Computer (PC) offloading mechanism for transmitting uncompressed video (viewport only). The experimental results show that our tiled extractor method reduces the bandwidth required for 360-degree video streaming by more than 47% and the tile partitioning mechanism was improved by up to 25% in terms of the decoding time. The PC offloading mechanism was also successful in offloading 360-degree decoded (or viewport only) video to mobile devices using mmWave communication and the proposed transmission schemes. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | MDPI | - |
dc.relation.isPartOf | SENSORS | - |
dc.title | SHVC Tile-Based 360-Degree Video Streaming for Mobile VR: PC Offloading Over mmWave | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000451598900138 | - |
dc.identifier.doi | 10.3390/s18113728 | - |
dc.identifier.bibliographicCitation | SENSORS, v.18, no.11 | - |
dc.identifier.scopusid | 2-s2.0-85056072151 | - |
dc.citation.title | SENSORS | - |
dc.citation.volume | 18 | - |
dc.citation.number | 11 | - |
dc.contributor.affiliatedAuthor | Dien Van Nguyen | - |
dc.contributor.affiliatedAuthor | Tuan Thanh Le | - |
dc.contributor.affiliatedAuthor | Lee, Sangsoon | - |
dc.contributor.affiliatedAuthor | Ryu, Eun-Seok | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | PC offloading | - |
dc.subject.keywordAuthor | mmWave | - |
dc.subject.keywordAuthor | SHVC | - |
dc.subject.keywordAuthor | parallel video processing | - |
dc.subject.keywordAuthor | mobile virtual reality | - |
dc.relation.journalResearchArea | Chemistry | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Instruments & Instrumentation | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Analytical | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Instruments & Instrumentation | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
1342, Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do, Republic of Korea(13120)031-750-5114
COPYRIGHT 2020 Gachon 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.