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Bitstream-Based Model Standard for 4K/UHD: ITU-T P.1204.3 — Model Details, Evaluation, Analysis and Open Source Implementation

机译:基于比特流的4K / UHD模型标准:ITU-T P.1204.3 —模型详细信息,评估,分析和开源实现

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With the increasing requirement of users to view high-quality videos with a constrained bandwidth, typically realized using HTTP-based adaptive streaming, it becomes more and more important to determine the quality of the encoded videos accurately, to assess and possibly optimize the overall streaming quality. In this paper, we describe a bitstream-based no-reference video quality model developed as part of the latest model-development competition conducted by ITU-T Study Group 12 and the Video Quality Experts Group (VQEG), “P.NATS Phase 2”. It is now part of the new P.1204 series of Recommendations as P.1204.3. It can be applied to bitstreams encoded with H.264/AVC, HEVC and VP9, using various encoding options, including resolution, bitrate, framerate and typical encoder settings such as number of passes, rate control variants and speeds. The proposed model follows an ensemble-modelling-inspired approach with weighted parametric and machine-learning parts to efficiently leverage the performance of both approaches. The paper provides details about the general approach to modelling, the features used and the final feature aggregation. The model creates per-segment and per-second video quality scores on the 5-point Absolute Category Rating scale, and is applicable to segments of 5–10 seconds duration. It covers both PC/TV and mobile/tablet viewing scenarios. We outline the databases on which the model was trained and validated as part of the competition, and perform an additional evaluation using a total of four independently created databases, where resolutions varied from 360p to 2160p, and frame rates from 15–60fps, using realistic coding and bitrate settings. We found that the model performs well on the independent dataset, with a Pearson correlation of 0.942 and an RMSE of 0.42. We also provide an open-source reference implementation of the described P.1204.3 model, as well as the multi-codec bitstream parser required to extract the input data, which is not part of the standard.
机译:随着用户观看带宽受限的高质量视频的需求不断增加(通常使用基于HTTP的自适应流传输实现),准确确定编码视频的质量,评估并可能优化整体流传输变得越来越重要。质量。在本文中,我们描述了由ITU-T第12研究组和视频质量专家组(VQEG)进行的最新模型开发竞赛的一部分而开发的基于比特流的无参考视频质量模型,“ P.NATS第二阶段”。现在,它已成为新的P.1204系列建议书P.1204.3的一部分。使用各种编码选项,包括分辨率,比特率,帧速率和典型的编码器设置(例如通过次数,速率控制变量和速度),它可以应用于用H.264 / AVC,HEVC和VP9编码的比特流。提出的模型遵循集成建模启发的方法,具有加权参数和机器学习部分,可有效利用两种方法的性能。本文提供了有关通用建模方法,所使用的特征以及最终特征聚合的详细信息。该模型会在5点“绝对类别评分”量表上创建每段和每秒的视频质量得分,并且适用于持续时间为5-10秒的段。它涵盖了PC / TV和移动/平板电脑观看场景。我们概述了作为竞赛一部分在模型上进行训练和验证的数据库,并使用总共四个独立创建的数据库进行了额外的评估,这些数据库的分辨率从360p到2160p不等,帧速率从15-60fps(使用逼真的)编码和比特率设置。我们发现该模型在独立数据集上表现良好,皮尔森相关系数为0.942,RMSE为0.42。我们还提供了所描述的P.1204.3模型的开源参考实现,以及提取输入数据所需的多编解码器比特流解析器,这不是标准的一部分。

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