计算机应用 ›› 2017, Vol. 37 ›› Issue (10): 2899-2902.DOI: 10.11772/j.issn.1001-9081.2017.10.2899

• 计算机视觉与虚拟现实 • 上一篇    下一篇

数字视频转码失真分析

苏建军1, 慕世友2, 杨波1, 孙晓斌1, 赵海武3, 顾晓3   

  1. 1. 国网山东省电力公司电力科学研究院, 济南 250000;
    2. 山东鲁能智能技术有限公司, 济南 250101;
    3. 上海大学 通信与信息工程学院, 上海 200444
  • 收稿日期:2017-04-28 修回日期:2017-06-27 出版日期:2017-10-10 发布日期:2017-10-16
  • 通讯作者: 顾晓(1994-),男,上海人,硕士研究生,主要研究方向:视频压缩、VR视频编码,E-mail:814313949@qq.com
  • 作者简介:苏建军(1962-),男,山东济南人,高级工程师,硕士,主要研究方向:电力系统与自动化;慕世友(1968-),男,山东济南人,高级工程师,主要研究方向:高电压及信息处理、目标识别;杨波(1977-),男,山东济南人,高级工程师,硕士,主要研究方向:电力系统巡检、机器视觉;孙晓斌(1979-),男,山东济南人,高级工程师,硕士,主要研究方向:架空输电线运行与检修、缺陷识别与检测;赵海武(1973-),男,河北廊坊人,高级工程师,博士,主要研究方向:数字视音频编码与通信、视频压缩;顾晓(1994-),男,上海人,硕士研究生,主要研究方向:视频压缩、VR视频编码.
  • 基金资助:
    国家电网公司总部科技项目(520626140006)。

Distortion analysis of digital video transcoding

SU Jianjun1, MU Shiyou2, YANG bo1, SUN Xiaobin1, ZHAO Haiwu3, GU Xiao3   

  1. 1. State Grid Shandong Electric Power Research Institute, Jinan Shandong 250000, China;
    2. Shandong Luneng Intelligence Technology Company Limited, Jinan Shandong 250101, China;
    3. School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China
  • Received:2017-04-28 Revised:2017-06-27 Online:2017-10-10 Published:2017-10-16
  • Supported by:
    This work is partially supported by the Science and Technology Program of State Grid Corporation (520626140006).

摘要: 在互联网视频应用领域中,视频在经过多次转码后相对于原始节目的失真难以控制,为此,提出一种对视频多次转码后的总失真进行估计的方法。首先,研究多次有损转码失真的叠加过程,找到了多次失真叠加后总体失真的下限;然后,用概率论的方法给出了总体失真的一个估计;最后,根据估计误差,采用最小二乘拟合对该估计进行修正。实验结果表明,经过修正后,Y、U和V三分量最终失真的平均估计误差仅为0.02dB,0.05dB和0.06dB,这说明该方法能够有效且准确地估计出视频转码的总体失真值。

关键词: 视频转码, 视频编码, 失真分析, MPEG2, 中国数字音视频编解码技术标准

Abstract: Video transcoding is applied in the field of Internet video coding. When the original video is transcoded multiple times, only the distortion between the input video and the output video can be calculated and the distortion between the output video and the original video can not be learned. Here an algorithm for estimating the distortion between the output video and the original video was proposed to control the quality of the output program. Firstly, the superposition of distortion caused by multiple lossy transcoding was analyzed to derive the lower limit of total distortion. Then the probability method was exploited to make an estimation on the distortion between the original video and the final output video. Finally, the least square fitting was used to correct the estimation according to the prediction error. Experimental results demonstrate that the proposed algorithm can accurately estimate the distortion with the prediction error of 0.02dB, 0.05dB and 0.06dB for Y, U and V components on average respectively after correction.

Key words: video transcoding, video coding, distortion analysis, MPEG2, Audio Video coding Standard (AVS)

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