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Bitrate Reduction for Omnidirectional Video Streaming: Comparing Variable Quantization Parameter and Variable Resolution Approaches

机译:对全向视频流的比特率降低:比较变量量化参数和可变分辨率方法

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Immersive and Extended Reality applications are getting increasingly popular due to the recent improvements and wide availability of Head Mounted Displays in the mass market. Among the many new immersive applications, Omnidirectional Video Streaming (OVS) - or 360°Video Streaming - is attracting the attention of both the industry and the research community. The increased immersivity of 360° videos comes at the cost of larger bandwidth requirements compared to classic 2D videos. To tackle the issue of reducing bandwidth requirements, tiling is a viable technique that allows to encode the portions of the 360° video most likely to fall outside of the users' viewport at lower quality using a higher quantization parameter. Tiling requires new encoders to be used which however do not have available hardware decoders in mobile devices yet. The variable resolution approach instead shrinks areas not falling in the region of interest to decrease the overall resolution and thus allowing bitrate reduction with any codec. This paper quantitatively compares the two approaches to find the trade-offs between achievable bitrate reduction and visual quality measured using the VMAF visual quality metric.
机译:由于最近的大众市场上的头戴式显示器的最新改进和广泛可用性,沉浸式和扩展的现实应用越来越受欢迎。在许多新的沉浸式应用中,全向视频流(OVS) - 或360°视频流 - 吸引了行业和研究界的注意力。与经典的2D视频相比,360°视频的沉浸量增加了较大的带宽要求的成本。为了解决降低带宽要求的问题,平铺是一种可行的技术,其允许使用更高量化参数以较低质量的较低质量在用户视口之外的360°视频的部分以较低的质量来编码的可行技术。 TILINE需要使用新的编码器,但是尚未在移动设备中具有可用的硬件解码器。可变分辨率方法,而是缩小未落入感兴趣区域以减少整体分辨率的区域,从而允许使用任何编解码器减少比特率。本文量化了使用VMAF视觉质量指标测量可实现的比特率降低和可视质量之间的两种方法来找到两种方法。

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