Efficient Intra and Most Probable Mode (MPM) Selection Based on Statistical Texture Features

Junaid TARIQ; Sam KWONG

doi:10.1109/SMC.2015.311

Efficient Intra and Most Probable Mode (MPM) Selection Based on Statistical Texture Features

Junaid TARIQ, Sam KWONG

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

13 Citations (Scopus)

Abstract

High Efficiency video coding (HEVC) Encoder could give higher compression efficiency by offering 35 intra modes. However, this increases the complexity of the encoder due to more modes participate in the decision process. Therefore, it is necessary to build a fast and efficient intra prediction algorithm that is practical for real time application. Statistical properties of reference samples and the current intra block can be investigated to find out which modes will be efficient for the current block. Therefore, an adaptive and efficient modes selection model is presented in this paper. Firstly, intra modes are efficiently short listed by calculating the Euclidean distance between the statistical features of the reference samples and the current block. Secondly, an efficient MPM selection method is proposed that selects the modes for MPM by investigating the correlation between the neigh boring blocks and the current block. Experimental results demonstrate that average BD-Rate saving of the proposed approach is-0.11%, and BD-PSNR is improved by 0.0065%.

Original language	English
Title of host publication	The 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015
Publisher	IEEE
Pages	1776-1781
Number of pages	6
ISBN (Electronic)	9781479986972
DOIs	https://doi.org/10.1109/SMC.2015.311
Publication status	Published - Oct 2015
Externally published	Yes
Event	IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015 - Kowloon Tong, Hong Kong Duration: 9 Oct 2015 → 12 Oct 2015

Conference

Conference	IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015
Abbreviated title	SMC 2015
Country/Territory	Hong Kong
City	Kowloon Tong
Period	9/10/15 → 12/10/15

Keywords

features
High Efficiency Video Coding (HEVC)
Most Probable Mode
MPM
Rate distortion optimization
RDOQ
RMD
Rough mode Decision

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10.1109/SMC.2015.311

Cite this

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title = "Efficient Intra and Most Probable Mode (MPM) Selection Based on Statistical Texture Features",

abstract = "High Efficiency video coding (HEVC) Encoder could give higher compression efficiency by offering 35 intra modes. However, this increases the complexity of the encoder due to more modes participate in the decision process. Therefore, it is necessary to build a fast and efficient intra prediction algorithm that is practical for real time application. Statistical properties of reference samples and the current intra block can be investigated to find out which modes will be efficient for the current block. Therefore, an adaptive and efficient modes selection model is presented in this paper. Firstly, intra modes are efficiently short listed by calculating the Euclidean distance between the statistical features of the reference samples and the current block. Secondly, an efficient MPM selection method is proposed that selects the modes for MPM by investigating the correlation between the neigh boring blocks and the current block. Experimental results demonstrate that average BD-Rate saving of the proposed approach is-0.11%, and BD-PSNR is improved by 0.0065%.",

keywords = "features, High Efficiency Video Coding (HEVC), Most Probable Mode, MPM, Rate distortion optimization, RDOQ, RMD, Rough mode Decision",

author = "Junaid TARIQ and Sam KWONG",

year = "2015",

month = oct,

doi = "10.1109/SMC.2015.311",

language = "English",

pages = "1776--1781",

booktitle = "The 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015",

publisher = "IEEE",

note = "IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015, SMC 2015 ; Conference date: 09-10-2015 Through 12-10-2015",

}

TARIQ, J & KWONG, S 2015, Efficient Intra and Most Probable Mode (MPM) Selection Based on Statistical Texture Features. in The 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015. IEEE, pp. 1776-1781, IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015, Kowloon Tong, Hong Kong, 9/10/15. https://doi.org/10.1109/SMC.2015.311

TY - GEN

T1 - Efficient Intra and Most Probable Mode (MPM) Selection Based on Statistical Texture Features

AU - TARIQ, Junaid

AU - KWONG, Sam

PY - 2015/10

Y1 - 2015/10

N2 - High Efficiency video coding (HEVC) Encoder could give higher compression efficiency by offering 35 intra modes. However, this increases the complexity of the encoder due to more modes participate in the decision process. Therefore, it is necessary to build a fast and efficient intra prediction algorithm that is practical for real time application. Statistical properties of reference samples and the current intra block can be investigated to find out which modes will be efficient for the current block. Therefore, an adaptive and efficient modes selection model is presented in this paper. Firstly, intra modes are efficiently short listed by calculating the Euclidean distance between the statistical features of the reference samples and the current block. Secondly, an efficient MPM selection method is proposed that selects the modes for MPM by investigating the correlation between the neigh boring blocks and the current block. Experimental results demonstrate that average BD-Rate saving of the proposed approach is-0.11%, and BD-PSNR is improved by 0.0065%.

AB - High Efficiency video coding (HEVC) Encoder could give higher compression efficiency by offering 35 intra modes. However, this increases the complexity of the encoder due to more modes participate in the decision process. Therefore, it is necessary to build a fast and efficient intra prediction algorithm that is practical for real time application. Statistical properties of reference samples and the current intra block can be investigated to find out which modes will be efficient for the current block. Therefore, an adaptive and efficient modes selection model is presented in this paper. Firstly, intra modes are efficiently short listed by calculating the Euclidean distance between the statistical features of the reference samples and the current block. Secondly, an efficient MPM selection method is proposed that selects the modes for MPM by investigating the correlation between the neigh boring blocks and the current block. Experimental results demonstrate that average BD-Rate saving of the proposed approach is-0.11%, and BD-PSNR is improved by 0.0065%.

KW - features

KW - High Efficiency Video Coding (HEVC)

KW - Most Probable Mode

KW - MPM

KW - Rate distortion optimization

KW - RDOQ

KW - RMD

KW - Rough mode Decision

UR - http://www.scopus.com/inward/record.url?scp=84964506856&partnerID=8YFLogxK

U2 - 10.1109/SMC.2015.311

DO - 10.1109/SMC.2015.311

M3 - Conference paper (refereed)

SP - 1776

EP - 1781

BT - The 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015

PB - IEEE

T2 - IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015

Y2 - 9 October 2015 through 12 October 2015

ER -

Efficient Intra and Most Probable Mode (MPM) Selection Based on Statistical Texture Features

Abstract

Conference

Keywords

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