A Novel Objective Quality Assessment Method for Transcoded Videos From H.264/AVC to H.265/HEVC Utilizing Probability Theory
| Autor: | Xiwu Shang, Yifan Zuo, Xiaoli Zhao, Guozhong Wang, Haiwu Zhao |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Computer science
business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020206 networking & telecommunications Data_CODINGANDINFORMATIONTHEORY 02 engineering and technology Transcoding Coding quality computer.software_genre Objective quality Probability theory Assessment methods 0202 electrical engineering electronic engineering information engineering Media Technology Computer vision Artificial intelligence Electrical and Electronic Engineering business computer H 264 avc Decoding methods Coding (social sciences) |
| Zdroj: | IEEE Transactions on Broadcasting. 65:777-781 |
| ISSN: | 1557-9611 0018-9316 |
| DOI: | 10.1109/tbc.2019.2932286 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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