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Bitrate Efficient 3DoF+ 360 Video View Synthesis for Immersive VR Video Streaming

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dc.contributor.authorJeong, J.-
dc.contributor.authorJang, D.-
dc.contributor.authorSon, J.-W.-
dc.contributor.authorRyu, E.-S.-
dc.date.available2020-02-27T12:44:10Z-
dc.date.created2020-02-12-
dc.date.issued2018-
dc.identifier.issn0000-0000-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/4405-
dc.description.abstractRecently, as the demand for Virtual Reality(VR) is increasing, it is not hard to experience immersive contents with VR. However, a tremendous amount of calculation and bandwidth are required when processing 360 videos. Moreover, to enjoy stereoscopic 360 contents, additional information such as the depth of the video must be provided. Therefore, in this paper, it proposes the efficient method of streaming high quality 360 videos. To reduce the bandwidth when streaming and synthesizing the 3DoF+ 360 video which supports limited movements of the user, the proper down-sampling ratio and quantization parameter are offered with the graph between bitrate and Peak Signal-to-Noise Ratio(PSNR). To encode and decode the 360 video, High-Efficiency Video Coding(HEVC) is used. And view synthesizer produces the video of intermediate view to provide the user with an immersive experience. © 2018 IEEE.-
dc.language영어-
dc.language.isoen-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.relation.isPartOf9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018-
dc.subjectBandwidth-
dc.subjectCommunication channels (information theory)-
dc.subjectImage coding-
dc.subjectQuantization (signal)-
dc.subjectSignal sampling-
dc.subjectSignal to noise ratio-
dc.subjectStereo image processing-
dc.subjectVirtual reality-
dc.subject3DoF-
dc.subjectHEVC-
dc.subjectMultiview video coding-
dc.subjectView synthesis-
dc.subjectVSRS-
dc.subjectVideo streaming-
dc.titleBitrate Efficient 3DoF+ 360 Video View Synthesis for Immersive VR Video Streaming-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass1-
dc.identifier.doi10.1109/ICTC.2018.8539414-
dc.identifier.bibliographicCitation9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018, pp.581 - 586-
dc.identifier.scopusid2-s2.0-85059463383-
dc.citation.endPage586-
dc.citation.startPage581-
dc.citation.title9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018-
dc.contributor.affiliatedAuthorJeong, J.-
dc.contributor.affiliatedAuthorJang, D.-
dc.contributor.affiliatedAuthorSon, J.-W.-
dc.contributor.affiliatedAuthorRyu, E.-S.-
dc.type.docTypeConference Paper-
dc.subject.keywordAuthor3DoF+-
dc.subject.keywordAuthorFTV-
dc.subject.keywordAuthorHEVC-
dc.subject.keywordAuthorMulti-view video coding-
dc.subject.keywordAuthorRVS-
dc.subject.keywordAuthorview synthesis-
dc.subject.keywordAuthorVR-
dc.subject.keywordAuthorVSRS-
dc.subject.keywordAuthorWS-PSNR-
dc.subject.keywordPlusBandwidth-
dc.subject.keywordPlusCommunication channels (information theory)-
dc.subject.keywordPlusImage coding-
dc.subject.keywordPlusQuantization (signal)-
dc.subject.keywordPlusSignal sampling-
dc.subject.keywordPlusSignal to noise ratio-
dc.subject.keywordPlusStereo image processing-
dc.subject.keywordPlusVirtual reality-
dc.subject.keywordPlus3DoF-
dc.subject.keywordPlusHEVC-
dc.subject.keywordPlusMultiview video coding-
dc.subject.keywordPlusView synthesis-
dc.subject.keywordPlusVSRS-
dc.subject.keywordPlusVideo streaming-
dc.description.journalRegisteredClassscopus-
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