2021/12/03 · This work proposes a rate control model based on deep convolutional features to improve the video coding performance of the HEVC encoders.

This work proposes a rate control model based on deep convolutional features to improve the video coding performance of the HEVC encoders under the random ...

This work proposes a rate control model based on deep convolutional features to improve the video coding performance of the HEVC encoders under the random ...

ABSTRACT This work proposes a rate control model based on deep convolutional features to improve the video coding performance of the HEVC encoders under the ...

Deep convolutional feature-driven rate control for the HEVC encoders. I Marzuki, J Lee, W Wiratama, D Sim. IEEE Access 9, 162018-162034, 2021. 3, 2021.

Deep convolutional feature-driven rate control for the HEVC encoders. I Marzuki, J Lee, W Wiratama, D Sim. IEEE Access 9, 162018-162034, 2021. 3, 2021.

A convolutional neural network-based approach to rate control in HEVC intra coding · Computer Science. Visual Communications and Image Processing · 2017.

2023/03/30 · Under a random access configuration, a deep convolution features-driven rate control for the HEVC encoders is proposed [39]. The method involves ...

Optimal CTU-level rate control model for HEVC based on deep convolutional features ... Deep convolutional feature-driven rate control for the HEVC encoders. I ...

Multi-dimensional rate control schemes have been recently utilized to adapt video streams to dynamic network conditions and heterogeneous devices.