Multi-Layer Quantization Control for Quality-Constrained H.265/HEVC

Achieving a stable video quality is an important task in video compression. In this paper, we present a multi-layer quantization control method to compress video to a certain target video quality based on the new hierarchical partition structure of H.265/HEVC. We first model the rate-quality charact...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on image processing 2017-07, Vol.26 (7), p.3437-3448
Main Authors: Pan, Xiang, Chen, Zhenzhong
Format: Article
Language:English
Subjects:
Bit rate
H.265/HEVC
Image coding
Kalman filter
multi-layer coding
Quality assessment
quality constraint
Quantization (signal)
quantization control
Streaming media
Video coding
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Achieving a stable video quality is an important task in video compression. In this paper, we present a multi-layer quantization control method to compress video to a certain target video quality based on the new hierarchical partition structure of H.265/HEVC. We first model the rate-quality characteristics of different video sequences using ν-support vector regression with a Gaussian radial basis function as the kernel function. Then, we propose a Kalman filter-based multi-layer quantization control method for the quality-constrained video coding. The advantage of our proposed approach in H.265/HEVC is demonstrated through experimental results. Compared with the other H.265/HEVC rate control algorithms and the fixed-QP scheme, the proposed method achieves a more stable video quality.
ISSN:1057-7149
1941-0042
DOI:10.1109/TIP.2016.2627818