Implementing motion-constrained tile and viewport extraction for VR streaming
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Son, J. | - |
dc.contributor.author | Jang, D. | - |
dc.contributor.author | Ryu, E.-S. | - |
dc.date.available | 2020-02-27T12:43:43Z | - |
dc.date.created | 2020-02-12 | - |
dc.date.issued | 2018 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/4372 | - |
dc.description.abstract | 1 360-degree video streaming for virtual reality (VR) is emerging. However, the computing power and bandwidth of the current VR are limited when compared to the high-quality VR. To overcome these limits, this study proposes 360 video tiled streaming method that transmits 360-degree videos using the high efficiency video coding (HEVC) and the scalability extension of HEVC (SHVC). The proposed SHVC and HEVC encoders generate the bitstream that can transmit tiles independently. The proposed extractor extracts the bitstream of the tiles corresponding to the viewport. SHVC video bitstream extracted by the proposed methods consist of (i) an SHVC base layer (BL) which represents the entire 360-degree area and (ii) an SHVC enhancement layer (EL) for selective streaming with viewport (region of interest (ROI)) tiles. When the proposed HEVC encoder is used, low and high resolution sequences are separately encoded as the BL and EL of SHVC. By streaming the BL (low resolution) and selective EL (high resolution) tiles with ROI instead of streaming whole high quality 360-degree video, the proposed method can reduce the network bandwidth as well as the computational complexity on the decoder side. Experimental results show more than 47% bandwidth reduction. © 2018 Association for Computing Machinery. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Association for Computing Machinery, Inc | - |
dc.relation.isPartOf | Proceedings of the 28th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, NOSSDAV 2018 | - |
dc.subject | Audio systems | - |
dc.subject | Bandwidth | - |
dc.subject | Binary sequences | - |
dc.subject | Communication channels (information theory) | - |
dc.subject | Extraction | - |
dc.subject | Image coding | - |
dc.subject | Image segmentation | - |
dc.subject | Signal encoding | - |
dc.subject | Virtual reality | - |
dc.subject | Bandwidth reductions | - |
dc.subject | Enhancement Layers | - |
dc.subject | HEVC | - |
dc.subject | High Efficiency Video Coding (HEVC) | - |
dc.subject | Information set | - |
dc.subject | Motion-constrained tile set (MCTS) | - |
dc.subject | Region of interest | - |
dc.subject | Viewport | - |
dc.subject | Video signal processing | - |
dc.title | Implementing motion-constrained tile and viewport extraction for VR streaming | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000455357400011 | - |
dc.identifier.doi | 10.1145/3210445.3210455 | - |
dc.identifier.bibliographicCitation | Proceedings of the 28th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, NOSSDAV 2018, pp.61 - 66 | - |
dc.identifier.scopusid | 2-s2.0-85050638428 | - |
dc.citation.endPage | 66 | - |
dc.citation.startPage | 61 | - |
dc.citation.title | Proceedings of the 28th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, NOSSDAV 2018 | - |
dc.contributor.affiliatedAuthor | Son, J. | - |
dc.contributor.affiliatedAuthor | Jang, D. | - |
dc.contributor.affiliatedAuthor | Ryu, E.-S. | - |
dc.type.docType | Proceedings Paper | - |
dc.subject.keywordAuthor | Extraction information set (EIS) SEI | - |
dc.subject.keywordAuthor | HEVC | - |
dc.subject.keywordAuthor | Motion-constrained tile set (MCTS) | - |
dc.subject.keywordAuthor | SHVC tile | - |
dc.subject.keywordAuthor | Viewport | - |
dc.subject.keywordAuthor | Virtual reality | - |
dc.subject.keywordPlus | Audio systems | - |
dc.subject.keywordPlus | Bandwidth | - |
dc.subject.keywordPlus | Binary sequences | - |
dc.subject.keywordPlus | Communication channels (information theory) | - |
dc.subject.keywordPlus | Extraction | - |
dc.subject.keywordPlus | Image coding | - |
dc.subject.keywordPlus | Image segmentation | - |
dc.subject.keywordPlus | Signal encoding | - |
dc.subject.keywordPlus | Virtual reality | - |
dc.subject.keywordPlus | Bandwidth reductions | - |
dc.subject.keywordPlus | Enhancement Layers | - |
dc.subject.keywordPlus | HEVC | - |
dc.subject.keywordPlus | High Efficiency Video Coding (HEVC) | - |
dc.subject.keywordPlus | Information set | - |
dc.subject.keywordPlus | Motion-constrained tile set (MCTS) | - |
dc.subject.keywordPlus | Region of interest | - |
dc.subject.keywordPlus | Viewport | - |
dc.subject.keywordPlus | Video signal processing | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Hardware & Architecture | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
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.