CNN-based rate-distortion modeling for H. 265/HEVC
In this paper, we propose a convolutional neural network (CNN)-based rate-distortion (RD)
modeling method for H. 265/HEVC. A fully convolutional neural network (CNN) is designed …
modeling method for H. 265/HEVC. A fully convolutional neural network (CNN) is designed …
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, eg …
optimization (RDO) and rate control (RC) in most of the existing video coding standards, eg …
Machine learning-based rate distortion modeling for VVC/H. 266 intra-frame
M Wang, J Zhang, L Huang… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Rate-distortion (RD) optimization has been widely adopted to improve the coding efficiency
on the video encoder side. However, there are few studies related to modeling the RD …
on the video encoder side. However, there are few studies related to modeling the RD …
Decoder-side HEVC quality enhancement with scalable convolutional neural network
The latest High Efficiency Video Coding (HEVC) has been increasingly used to generate
video streams over Internet. However, the decoded HEVC video streams may incur severe …
video streams over Internet. However, the decoded HEVC video streams may incur severe …
Perceptually weighted mean squared error based rate-distortion optimization for HEVC
The process of rate-distortion (RD) optimization plays a key role for video coding, which
aims to achieve a tradeoff between compression efficiency and video quality distortion …
aims to achieve a tradeoff between compression efficiency and video quality distortion …
Efficient rate-distortion optimization for HEVC using SSIM and motion homogeneity
J Qi, X Li, F Su, Q Tu, A Men - 2013 Picture Coding Symposium …, 2013 - ieeexplore.ieee.org
Rate-distortion optimization is widely used in modern video codecs to make various encoder
decisions in order to optimize the trade-off between bit-rate and quality. The distortion …
decisions in order to optimize the trade-off between bit-rate and quality. The distortion …
An LSTM method for predicting CU splitting in H. 264 to HEVC transcoding
Y Wei, Z Wang, M Xu, S Qiao - 2017 IEEE Visual …, 2017 - ieeexplore.ieee.org
For H. 264 to high efficiency video coding (HEVC) transcoding, this paper proposes a
hierarchical Long Short-Term Memory (LSTM) method to predict coding unit (CU) splitting …
hierarchical Long Short-Term Memory (LSTM) method to predict coding unit (CU) splitting …
Perceptual based SAO rate-distortion optimization method with a simplified JND model for H. 265/HEVC
K Yang, S Wan, Y Gong, HR Wu, Y Feng - Signal Processing: Image …, 2015 - Elsevier
In the latest H. 265/High Efficiency Video Coding (HEVC) standard, the sample adaptive
offset (SAO) filter technique is adopted to improve the quality of the reconstructed video. But …
offset (SAO) filter technique is adopted to improve the quality of the reconstructed video. But …
Fully connected network for HEVC CU split decision equipped with Laplacian transparent composite model
H Amer, A Rashwan, E Yang - 2018 Picture Coding Symposium …, 2018 - ieeexplore.ieee.org
High Efficiency Video Coding (HEVC) improves rate distortion (RD) performance
significantly, but at the same time is computationally expensive due to the adoption of a …
significantly, but at the same time is computationally expensive due to the adoption of a …
Predicting video rate-distortion curves using textural features
AV Katsenou, M Afonso, D Agrafiotis… - 2016 Picture Coding …, 2016 - ieeexplore.ieee.org
This work addresses the problem of predicting the compression efficiency of a video codec
solely from features extracted from uncompressed content. Towards this goal, we have used …
solely from features extracted from uncompressed content. Towards this goal, we have used …