Fast Coding Unit Decision for Intra Screen Content Coding Based on Ensemble Learning

Yali XUE; Xu WANG; Linwei ZHU; Zhaoqing PAN; Sam KWONG

doi:10.1109/ICASSP.2019.8682707

Fast Coding Unit Decision for Intra Screen Content Coding Based on Ensemble Learning

Yali XUE, Xu WANG, Linwei ZHU, Zhaoqing PAN, Sam KWONG

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

11 Citations (Scopus)

Abstract

The Screen Content Coding (SCC) is an extension of High Efficiency Video Coding (HEVC), and it achieves significant improvement on compression ratio. However, the obtained coding efficiency is at the cost of high computational complexity. In this paper, to reduce the computation complexity, we propose to use an ensemble classifier for predicting the coding unit (CU) in intra-coding. Firstly, the L1-loss based linear support vector machine (SVM) is employed as basic classifier for its simplicity. Then, a bagging scheme is applied to train the linear classifiers and boost the prediction accuracy by ensemble learning. Compared with the reference software SCM-5.0, the proposed scheme can achieve 30% complexity reduction on average with only 1.64% bit rates increase.

Original language	English
Title of host publication	2019 IEEE International Conference on Acoustics, Speech and Signal Processing
Publisher	IEEE
Pages	8543-8547
Number of pages	5
ISBN (Electronic)	9781479981311
ISBN (Print)	9781479981328
DOIs	https://doi.org/10.1109/ICASSP.2019.8682707
Publication status	Published - 2019
Externally published	Yes
Event	44th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019) - Brighton, United Kingdom Duration: 12 May 2019 → 17 May 2019 https://www.2019.ieeeicassp.org/2019.ieeeicassp.org/index.html

Conference

Conference	44th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019)
Country/Territory	United Kingdom
City	Brighton
Period	12/05/19 → 17/05/19
Internet address	https://www.2019.ieeeicassp.org/2019.ieeeicassp.org/index.html

Funding

This work was supported in part by the National Natural Science Foundation of China under Grant 61871270, 61672443 and 61620106008, in part by the Guangdong Nature Science Foundation under Grant 2016A030310058, in part by the Shenzhen Emerging Industries of the Strategic Basic Research Project under Grants JCYJ20160226191842793, in part by the Natural Science Foundation of SZU (grant no. 827000144).

Keywords

Coding Unit Decision
Ensemble Learning
Intra Coding
Linear Classification
Screen Content Coding

Access to Document

10.1109/ICASSP.2019.8682707

Cite this

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title = "Fast Coding Unit Decision for Intra Screen Content Coding Based on Ensemble Learning",

abstract = "The Screen Content Coding (SCC) is an extension of High Efficiency Video Coding (HEVC), and it achieves significant improvement on compression ratio. However, the obtained coding efficiency is at the cost of high computational complexity. In this paper, to reduce the computation complexity, we propose to use an ensemble classifier for predicting the coding unit (CU) in intra-coding. Firstly, the L1-loss based linear support vector machine (SVM) is employed as basic classifier for its simplicity. Then, a bagging scheme is applied to train the linear classifiers and boost the prediction accuracy by ensemble learning. Compared with the reference software SCM-5.0, the proposed scheme can achieve 30% complexity reduction on average with only 1.64% bit rates increase.",

keywords = "Coding Unit Decision, Ensemble Learning, Intra Coding, Linear Classification, Screen Content Coding",

author = "Yali XUE and Xu WANG and Linwei ZHU and Zhaoqing PAN and Sam KWONG",

year = "2019",

doi = "10.1109/ICASSP.2019.8682707",

language = "English",

isbn = "9781479981328",

pages = "8543--8547",

booktitle = "2019 IEEE International Conference on Acoustics, Speech and Signal Processing",

publisher = "IEEE",

note = "44th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019)<br/> ; Conference date: 12-05-2019 Through 17-05-2019",

url = "https://www.2019.ieeeicassp.org/2019.ieeeicassp.org/index.html",

}

XUE, Y, WANG, X, ZHU, L, PAN, Z & KWONG, S 2019, Fast Coding Unit Decision for Intra Screen Content Coding Based on Ensemble Learning. in 2019 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, pp. 8543-8547, 44th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019)
, Brighton, United Kingdom, 12/05/19. https://doi.org/10.1109/ICASSP.2019.8682707

TY - GEN

T1 - Fast Coding Unit Decision for Intra Screen Content Coding Based on Ensemble Learning

AU - XUE, Yali

AU - WANG, Xu

AU - ZHU, Linwei

AU - PAN, Zhaoqing

AU - KWONG, Sam

PY - 2019

Y1 - 2019

N2 - The Screen Content Coding (SCC) is an extension of High Efficiency Video Coding (HEVC), and it achieves significant improvement on compression ratio. However, the obtained coding efficiency is at the cost of high computational complexity. In this paper, to reduce the computation complexity, we propose to use an ensemble classifier for predicting the coding unit (CU) in intra-coding. Firstly, the L1-loss based linear support vector machine (SVM) is employed as basic classifier for its simplicity. Then, a bagging scheme is applied to train the linear classifiers and boost the prediction accuracy by ensemble learning. Compared with the reference software SCM-5.0, the proposed scheme can achieve 30% complexity reduction on average with only 1.64% bit rates increase.

AB - The Screen Content Coding (SCC) is an extension of High Efficiency Video Coding (HEVC), and it achieves significant improvement on compression ratio. However, the obtained coding efficiency is at the cost of high computational complexity. In this paper, to reduce the computation complexity, we propose to use an ensemble classifier for predicting the coding unit (CU) in intra-coding. Firstly, the L1-loss based linear support vector machine (SVM) is employed as basic classifier for its simplicity. Then, a bagging scheme is applied to train the linear classifiers and boost the prediction accuracy by ensemble learning. Compared with the reference software SCM-5.0, the proposed scheme can achieve 30% complexity reduction on average with only 1.64% bit rates increase.

KW - Coding Unit Decision

KW - Ensemble Learning

KW - Intra Coding

KW - Linear Classification

KW - Screen Content Coding

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U2 - 10.1109/ICASSP.2019.8682707

DO - 10.1109/ICASSP.2019.8682707

M3 - Conference paper (refereed)

SN - 9781479981328

SP - 8543

EP - 8547

BT - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing

PB - IEEE

T2 - 44th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019)<br/>

Y2 - 12 May 2019 through 17 May 2019

ER -

Fast Coding Unit Decision for Intra Screen Content Coding Based on Ensemble Learning

Abstract

Conference

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Keywords

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