Variegated 360-degree video streaming in the metaverse: tailored reinforcement learning strategies

This research paves the way for further exploration into algorithmic refinement, adaptation to diverse scenarios within the Metaverse, real-world application testing, and incorporating user feedback for QoE personalization. As we venture into this uncharted digital realm, our work establishes a foun...

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Main Author: Deng, Hanzhi
Other Authors: Jun Zhao
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/175013
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-175013
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spelling sg-ntu-dr.10356-1750132024-04-19T15:46:01Z Variegated 360-degree video streaming in the metaverse: tailored reinforcement learning strategies Deng, Hanzhi Jun Zhao School of Computer Science and Engineering junzhao@ntu.edu.sg Computer and Information Science Reinforcement learning This research paves the way for further exploration into algorithmic refinement, adaptation to diverse scenarios within the Metaverse, real-world application testing, and incorporating user feedback for QoE personalization. As we venture into this uncharted digital realm, our work establishes a foundation for more immersive, efficient, and user-focused virtual experiences, signifying a significant leap in the domain of 360-degree video streaming technology. Bachelor's degree 2024-04-18T07:19:13Z 2024-04-18T07:19:13Z 2024 Final Year Project (FYP) Deng, H. (2024). Variegated 360-degree video streaming in the metaverse: tailored reinforcement learning strategies. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175013 https://hdl.handle.net/10356/175013 en SCSE23-0299 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Computer and Information Science
Reinforcement learning
spellingShingle Computer and Information Science
Reinforcement learning
Deng, Hanzhi
Variegated 360-degree video streaming in the metaverse: tailored reinforcement learning strategies
description This research paves the way for further exploration into algorithmic refinement, adaptation to diverse scenarios within the Metaverse, real-world application testing, and incorporating user feedback for QoE personalization. As we venture into this uncharted digital realm, our work establishes a foundation for more immersive, efficient, and user-focused virtual experiences, signifying a significant leap in the domain of 360-degree video streaming technology.
author2 Jun Zhao
author_facet Jun Zhao
Deng, Hanzhi
format Final Year Project
author Deng, Hanzhi
author_sort Deng, Hanzhi
title Variegated 360-degree video streaming in the metaverse: tailored reinforcement learning strategies
title_short Variegated 360-degree video streaming in the metaverse: tailored reinforcement learning strategies
title_full Variegated 360-degree video streaming in the metaverse: tailored reinforcement learning strategies
title_fullStr Variegated 360-degree video streaming in the metaverse: tailored reinforcement learning strategies
title_full_unstemmed Variegated 360-degree video streaming in the metaverse: tailored reinforcement learning strategies
title_sort variegated 360-degree video streaming in the metaverse: tailored reinforcement learning strategies
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/175013
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