EPSRC-SFI: SpheryStream
EPSRC-SFI: SpheryStream
批准号:
EP/T03324X/1
负责人:
Laura TONI
金额:
$32.81万
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2021
资助国家:
英国
项目状态:
已结题
起止时间:
2021 至 --
关键词:
中文摘要
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英文摘要
This proposal addresses the important and not well-studied area in the fast-developing engineering space of the virtual reality and immersive technology. Our final vision is to endow any final user with an unprecedented sense of full immersion in virtual environments for any applicative scenario and with any connectivity level. This requires VR systems that operate at scale, in a personalized manner, remaining bandwidth-tolerant whilst meeting quality and latency criteria. This can be accomplished only by a fundamental revolution of the coding/streaming/rendering chain that has to put the interactive user at the heart of the system rather than at the end of the chain.Specifically, bringing our final vision to reality requires constant innovation in VR streaming technology to overcome the following main challenges: i) the spherical format of the video content in a scenario in which media codecs are optimized for planar content; ii) the interactive behaviour of users that introduces uncertainty on the popularity of the video content. To overcome the former challenges, the spherical video is currently projected on a bidimensional planar domain, but this introduces noticeable deformation since the sphere is not a developable surface. To address the uncertainty of users' behaviours, predicting models have been investigated recently, but none of them actually work on the spherical (not deformed) domain. To overcome the above challenges in immersive technology, there is the need to develop an efficient tool for navigation patterns analysis in the spherical domain and leverage on that to predict users' behaviour and build the entire coding-delivery-rendering pipeline as a user- and geometry-centric system. This proposal focuses on develop novel VR delivery strategies, which will rely on the analysis and prediction of the navigation patterns of the omnidirectional content navigation, in a user, content- and application-dependent fashion. Predicting users' behaviour will allow to delivery only the content that will be actually consumed by the users, minimising the transmission resources consumption while maximising the user's Quality of Experience. The key novelty will be to address the above challenges working directly on the spherical domain, rather than on the projected (thus deformed) bidimensional domain. The developed VR system will be tested via a real omnidirectional video streaming testbed that will be implemented within the scope of the project. The outcomes of the project will be three-folds: i) user- content- and application-dependent VR streaming platform, optimized from the source codec to the delivery platform; ii) users analysis tools able to assess users' behaviour (when interactive with the content) in an objective fashion to identify common navigation patterns, and to predict future behaviours; iii) VR streaming testbed to test the proposed technology.
期刊论文(7)
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DOI:
10.1145/3607546.3616805
发表时间:
2023-10
期刊:
Proceedings of the 2nd International Workshop on Interactive eXtended Reality
影响因子:
--
作者:
[Silvia Rossi;Laura Toni;Pablo César]
通讯作者:
Silvia Rossi;Laura Toni;Pablo César
Immersive Video Technologies
沉浸式视频技术
DOI:
10.1016/b978-0-32-391755-1.00009-2
发表时间:
2023
期刊:
影响因子:
--
作者:
[Rossi S]
通讯作者:
Rossi S
Extending 3-DoF Metrics to Model User Behaviour Similarity in 6-DoF Immersive Applications
扩展 3-DoF 指标以对 6-DoF 沉浸式应用中的用户行为相似性进行建模
DOI:
10.1145/3587819.3590976
发表时间:
2023
期刊:
影响因子:
--
作者:
[Rossi S]
通讯作者:
Rossi S
A New Challenge: Behavioural Analysis Of 6-DOF User When Consuming Immersive Media
新挑战:六自由度用户消费沉浸式媒体时的行为分析
DOI:
10.1109/icip42928.2021.9506525
发表时间:
2021
期刊:
影响因子:
--
作者:
[Rossi S]
通讯作者:
Rossi S
Influence of Narrative Elements on User Behaviour in Photorealistic Social VR
真实感社交 VR 中叙事元素对用户行为的影响
DOI:
10.1145/3458307.3463371
发表时间:
2021
期刊:
影响因子:
--
作者:
[Rossi S]
通讯作者:
Rossi S
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批准号:EP/Z532885/1
-
项目类别:Research Grant
-
资助金额:$18.95万
-
财政年份:2024
-
负责人:Laura TONI
-
依托单位:
国内基金
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