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作 者:李俊杰[1] 望育梅[1] 李志军 刘雨[1] LI Junjie;WANG Yumei;LI Zhijun;LIU Yu(College of Artificial Intelligence,Beijing University of Posts and Telecommunications,Beijing 100876,China)
出 处:《计算机应用》2024年第2期536-547,共12页journal of Computer Applications
基 金:国家重点研发计划项目(2022YFB2902705)。
摘 要:全景视频由于独特的沉浸式、交互式体验受到广泛关注。全景视频传输所需的高带宽、低时延给现有网络传输系统带来了挑战。基于tile(块)的视口自适应传输可以有效缓解全景视频所带来的传输压力,成为当前的主流方案和研究热点。通过分析基于tile的视口自适应传输方案的研究现状和发展趋势,对该传输方案的两个重要模块,即视口预测与码率分配进行论述,从不同视角归纳总结相关领域的方法。首先,基于全景视频传输框架对相关技术进行阐明;其次,从主、客观两个维度分别介绍评估传输系统性能的用户体验质量的指标;再后,分别从视口预测、码率分配两方面进行归纳,系统梳理经典的研究方法;最后,基于当前研究现状讨论全景视频传输的未来发展趋势。Panoramic videos have attracted wide attention due to their unique immersive and interactive experience.The high bandwidth and low delay required for wireless streaming of panoramic videos have brought challenges to existing network streaming systems.Tile-based viewport adaptive streaming can effectively alleviate the streaming pressure brought by panoramic video,and has become the current mainstream scheme and hot research topic.By analyzing the research status and development trend of tile-based viewport adaptive streaming,the two important modules of this streaming scheme,namely viewport prediction and bit rate allocation,were discussed,and the methods in relevant fields were summarized from different perspectives.Firstly,based on the panoramic video streaming framework,the relevant technologies were clarified.Secondly,the user experience quality indicators to evaluate the performance of the streaming system were introduced from the subjective and objective dimensions.Then,the classic research methods were summarized from the aspects of viewport prediction and bit rate allocation.Finally,the future development trend of panoramic video streaming was discussed based on the current research status.
关 键 词:全景视频 视口自适应传输 视口预测 码率分配 用户体验质量
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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