Perceptual-Based HEVC Intra Coding Optimization Using Deep Convolution Networks
In this paper, we propose a novel perceptual-based intra coding optimization algorithm for the High Efficiency Video Coding (HEVC) using deep convolution networks (DCNs). According to the saliency map, the algorithm can intelligently adjust bit rate allocation between the salient and non-salient reg...
Main Authors: | Xuebin Sun, Han Ma, Weixun Zuo, Ming Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8705300/ |
Similar Items
-
Quality-Oriented Perceptual HEVC Based on the Spatiotemporal Saliency Detection Model
by: Xiantao Jiang, et al.
Published: (2019-02-01) -
Saliency Detection With Features From Compressed HEVC
by: Wei Zhou, et al.
Published: (2018-01-01) -
Perceptual Adaptive Quantization Parameter Selection Using Deep Convolutional Features for HEVC Encoder
by: Ismail Marzuki, et al.
Published: (2020-01-01) -
Linking Bitstream Information to QoE: A Study on Still Images Using HEVC Intra Coding
by: Tomas Mizdos, et al.
Published: (2019-01-01) -
Deep Convolutional Feature-Driven Rate Control for the HEVC Encoders
by: Ismail Marzuki, et al.
Published: (2021-01-01)