A Novel Objective Quality Assessment Method for Transcoded Videos From H.264/AVC to H.265/HEVC Utilizing Probability Theory

被引：6

作者：

Shang, Xiwu ^{[1
]}

Zhao, Haiwu ^{[2
]}

Wang, Guozhong ^{[1
]}

Zhao, Xiaoli ^{[1
]}

Zuo, Yifan ^{[3
]}

机构：

[1] Shanghai Univ Engn Sci, Sch Elect & Elect Engn, Shanghai 201620, Peoples R China

[2] Shanghai Univ, Sch Commun & Informat Engn, Shanghai 200444, Peoples R China

[3] Jiangxi Univ Finance & Econ, Sch Informat Technol, Nanchang 330013, Jiangxi, Peoples R China

来源：

IEEE TRANSACTIONS ON BROADCASTING | 2019年 / 65卷 / 04期

基金：

美国国家科学基金会;

关键词：

Videos; Encoding; Quality assessment; Distortion; Standards; Decoding; Video quality assessment; PSNR; probability theory; REFERENCE PSNR ESTIMATION;

D O I：

10.1109/TBC.2019.2932286

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The latest video coding standard H.265/HEVC is developed to succeed the previous coding standard H.264/AVC. However, a large amount of legacy content was coded with H.246/AVC. Therefore, transcoding from H.264/AVC to H.265/HEVC format is required. During the process of transcoding, we can easily calculate the distortion of the transcoded video with respect to the H.264/AVC-decoded video. However, since the original video is usually unavailable, the distortion between the original video and the transcoded video is unknown, which makes it difficult to control the coding quality of the transcoded video compared to the original video. In this paper, we propose a novel and accurate quality estimation method for transcoded videos utilizing probability theory. Experimental results demonstrate that the predicted quality of transcoded videos approximate the true value, with an average error of 0.28 dB, 0.41 dB, and 0.46 dB for Y, Cb, and Cr components, respectively.

引用

页码：777 / 781

页数：5

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