HEVERL – Viewport Estimation Using Reinforcement Learning for 360-degree Video Streaming

HEVERL – Viewport Estimation Using Reinforcement Learning for 360-degree Video Streaming

360-degree video content has become a pivotal component in virtual reality environments, offering viewers an immersive and engaging experience. However, streaming such comprehensive video content presents significant challenges due to the substantial file sizes and varying network conditions. To add...

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Bibliographic Details
Main Authors: Nguyen Viet Hung, Pham Tien Dat, Nguyen Tan, Nguyen Anh Quan, Le Thi Huyen Trang, Le Mai Nam
Format: Article
Language:English
Published: Russian Academy of Sciences, St. Petersburg Federal Research Center 2025-01-01
Series:Информатика и автоматизация
Subjects:
head-eye movement
reinforcement learning
deep learning
machine learning
video streaming
360-degree video
Online Access:https://ia.spcras.ru/index.php/sp/article/view/16502
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