Multi-layer quantization control for quality-constrained H.265/HEVC

Xiang PAN; Zhenzhong CHEN

doi:10.1109/TIP.2016.2627818

Multi-layer quantization control for quality-constrained H.265/HEVC

Xiang PAN
, Zhenzhong CHEN^*

^*Corresponding author for this work

Research output: Journal Publications › Journal Article (refereed) › peer-review

12 Citations (Scopus)

Abstract

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 ?-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.

Original language	English
Article number	7740887
Pages (from-to)	3437-3448
Number of pages	12
Journal	IEEE Transactions on Image Processing
Volume	26
Issue number	7
Early online date	10 Nov 2016
DOIs	https://doi.org/10.1109/TIP.2016.2627818
Publication status	Published - Jul 2017
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Funding

This work was supported in part by the National Natural Science Foundation of China under Grant 61471273, in part by the National High-Tech Research and Development Program of China (863 Program) under Grant 2015AA015903, and in part by the Natural Science Foundation of Hubei Province of China under Grant 2015CFA053.

Keywords

H.265/HEVC
KALMAN filter
Multi-layer coding
Quality constraint
Quantization control

Access to Document

10.1109/TIP.2016.2627818

Cite this

@article{d8c3cda31893400da0f857f4a7bf8549,

title = "Multi-layer quantization control for quality-constrained H.265/HEVC",

abstract = "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 ?-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.",

keywords = "H.265/HEVC, KALMAN filter, Multi-layer coding, Quality constraint, Quantization control",

author = "Xiang PAN and Zhenzhong CHEN",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.",

year = "2017",

month = jul,

doi = "10.1109/TIP.2016.2627818",

language = "English",

volume = "26",

pages = "3437--3448",

journal = "IEEE Transactions on Image Processing",

issn = "1057-7149",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "7",

}

TY - JOUR

T1 - Multi-layer quantization control for quality-constrained H.265/HEVC

AU - PAN, Xiang

AU - CHEN, Zhenzhong

PY - 2017/7

Y1 - 2017/7

N2 - 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 ?-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.

AB - 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 ?-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.

KW - H.265/HEVC

KW - KALMAN filter

KW - Multi-layer coding

KW - Quality constraint

KW - Quantization control

UR - https://www.scopus.com/pages/publications/85021729859

U2 - 10.1109/TIP.2016.2627818

DO - 10.1109/TIP.2016.2627818

M3 - Journal Article (refereed)

AN - SCOPUS:85021729859

SN - 1057-7149

VL - 26

SP - 3437

EP - 3448

JO - IEEE Transactions on Image Processing

JF - IEEE Transactions on Image Processing

IS - 7

M1 - 7740887

ER -

Multi-layer quantization control for quality-constrained H.265/HEVC

Abstract

Bibliographical note

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Cite this