Hybrid Distortion-Based Rate-Distortion Optimization and Rate Control for H.265/HEVC

Mean squared error (MSE) is adopted as the distortion metric for the rate-distortion optimization (RDO) and rate control (RC) in most of the existing video coding standards, e.g., H.265/High-Efficiency Video Coding (HEVC) and H.264/Advanced Video Coding (AVC), because the pixel-wise MSE can represen...

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Veröffentlicht in:IEEE transactions on consumer electronics Jg. 67; H. 2; S. 97 - 106
Hauptverfasser: Yuan, Hui, Wang, Qun, Liu, Qi, Huo, Junyan, Li, Peng
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.05.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Accuracy
Adaptation models
Coders
Coding
Coding standards
Distortion
Encoding
hybrid distortion
Hybrid systems
Image coding
Image quality
Image reconstruction
Measurement
Optimization
perceptual quality
Rate-distortion optimization
Video coding
Video compression
Visualization
ISSN:0098-3063, 1558-4127
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Zusammenfassung:Mean squared error (MSE) is adopted as the distortion metric for the rate-distortion optimization (RDO) and rate control (RC) in most of the existing video coding standards, e.g., H.265/High-Efficiency Video Coding (HEVC) and H.264/Advanced Video Coding (AVC), because the pixel-wise MSE can represent the image fidelity efficiently. As videos are usually used for visual enjoyment, recently, researchers found that the MSE is not always consistent with perceptual quality, and proposed some perceptual quality-based video coding methods by exchanging the MSE with other perceptual quality metrics completely, like the structure similarity index (SSIM), just noticeable distortion (JND), etc. We believe that a sophisticated video encoder should guarantee both the subject quality and the data fidelity. By investigating the properties of the human visual system (HVS), hybrid distortion-based RDO and RC methods are proposed to improve subjective quality while avoiding fidelity degradation. Experimental results demonstrate that the proposed methods can improve subjective quality efficiently, while preserving the image fidelity of the reconstructed videos as much as possible.
Bibliographie:ObjectType-Article-1
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ISSN:0098-3063
1558-4127
DOI:10.1109/TCE.2021.3065636