Efficient mode decision in HEVC

Gururaj Bijur; M. Ramakrishna; A. K. Karunakar

doi:10.1109/AIDE57180.2022.10060847

Efficient mode decision in HEVC

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

HEVC is the new coding standard aiming to provide better coding efficiency compared to its previous standard. Meantime this increases the computational complexity. In HEVC, there are 35 intra prediction modes, where as in H.264/A VC there were only 9 intra prediction modes. In this paper, we proposed a fast rough mode decision (RMD) algorithm to decrease the computational complexity using up and left reference pixels. The three-stage search method is implemented in RMD algorithm. The results obtained when compared with HM16.18, shows that the proposed algorithm can save 12.78% to 28.86% of the encoding time with acceptable loss in video quality.

Original language	English
Title of host publication	International Conference on Artificial Intelligence and Data Engineering, AIDE 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	151-156
Number of pages	6
ISBN (Electronic)	9781665493048
DOIs	https://doi.org/10.1109/AIDE57180.2022.10060847
Publication status	Published - 2022
Event	2022 International Conference on Artificial Intelligence and Data Engineering, AIDE 2022 - Karkala, India Duration: 22-12-2022 → 23-12-2022

Publication series

Name	International Conference on Artificial Intelligence and Data Engineering, AIDE 2022

Conference

Conference	2022 International Conference on Artificial Intelligence and Data Engineering, AIDE 2022
Country/Territory	India
City	Karkala
Period	22-12-22 → 23-12-22

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Computer Science Applications
Computer Vision and Pattern Recognition
Information Systems
Statistics, Probability and Uncertainty
Instrumentation
Artificial Intelligence

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10.1109/AIDE57180.2022.10060847

Cite this

Bijur, G., Ramakrishna, M., & Karunakar, A. K. (2022). Efficient mode decision in HEVC. In International Conference on Artificial Intelligence and Data Engineering, AIDE 2022 (pp. 151-156). (International Conference on Artificial Intelligence and Data Engineering, AIDE 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AIDE57180.2022.10060847

@inproceedings{cba480ef371f4938b0595db27aefd140,

title = "Efficient mode decision in HEVC",

abstract = "HEVC is the new coding standard aiming to provide better coding efficiency compared to its previous standard. Meantime this increases the computational complexity. In HEVC, there are 35 intra prediction modes, where as in H.264/A VC there were only 9 intra prediction modes. In this paper, we proposed a fast rough mode decision (RMD) algorithm to decrease the computational complexity using up and left reference pixels. The three-stage search method is implemented in RMD algorithm. The results obtained when compared with HM16.18, shows that the proposed algorithm can save 12.78\% to 28.86\% of the encoding time with acceptable loss in video quality.",

author = "Gururaj Bijur and M. Ramakrishna and Karunakar, \{A. K.\}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 International Conference on Artificial Intelligence and Data Engineering, AIDE 2022 ; Conference date: 22-12-2022 Through 23-12-2022",

year = "2022",

doi = "10.1109/AIDE57180.2022.10060847",

language = "English",

series = "International Conference on Artificial Intelligence and Data Engineering, AIDE 2022",

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

pages = "151--156",

booktitle = "International Conference on Artificial Intelligence and Data Engineering, AIDE 2022",

address = "United States",

}

Bijur, G , Ramakrishna, M & Karunakar, AK 2022, Efficient mode decision in HEVC. in International Conference on Artificial Intelligence and Data Engineering, AIDE 2022. International Conference on Artificial Intelligence and Data Engineering, AIDE 2022, Institute of Electrical and Electronics Engineers Inc., pp. 151-156, 2022 International Conference on Artificial Intelligence and Data Engineering, AIDE 2022, Karkala, India, 22-12-22. https://doi.org/10.1109/AIDE57180.2022.10060847

Efficient mode decision in HEVC. / Bijur, Gururaj ; Ramakrishna, M.; Karunakar, A. K.
International Conference on Artificial Intelligence and Data Engineering, AIDE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 151-156 (International Conference on Artificial Intelligence and Data Engineering, AIDE 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Efficient mode decision in HEVC

AU - Bijur, Gururaj

AU - Ramakrishna, M.

AU - Karunakar, A. K.

PY - 2022

Y1 - 2022

N2 - HEVC is the new coding standard aiming to provide better coding efficiency compared to its previous standard. Meantime this increases the computational complexity. In HEVC, there are 35 intra prediction modes, where as in H.264/A VC there were only 9 intra prediction modes. In this paper, we proposed a fast rough mode decision (RMD) algorithm to decrease the computational complexity using up and left reference pixels. The three-stage search method is implemented in RMD algorithm. The results obtained when compared with HM16.18, shows that the proposed algorithm can save 12.78% to 28.86% of the encoding time with acceptable loss in video quality.

AB - HEVC is the new coding standard aiming to provide better coding efficiency compared to its previous standard. Meantime this increases the computational complexity. In HEVC, there are 35 intra prediction modes, where as in H.264/A VC there were only 9 intra prediction modes. In this paper, we proposed a fast rough mode decision (RMD) algorithm to decrease the computational complexity using up and left reference pixels. The three-stage search method is implemented in RMD algorithm. The results obtained when compared with HM16.18, shows that the proposed algorithm can save 12.78% to 28.86% of the encoding time with acceptable loss in video quality.

UR - https://www.scopus.com/pages/publications/85150679733

UR - https://www.scopus.com/pages/publications/85150679733#tab=citedBy

U2 - 10.1109/AIDE57180.2022.10060847

DO - 10.1109/AIDE57180.2022.10060847

M3 - Conference contribution

AN - SCOPUS:85150679733

T3 - International Conference on Artificial Intelligence and Data Engineering, AIDE 2022

SP - 151

EP - 156

BT - International Conference on Artificial Intelligence and Data Engineering, AIDE 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 International Conference on Artificial Intelligence and Data Engineering, AIDE 2022

Y2 - 22 December 2022 through 23 December 2022

ER -

Efficient mode decision in HEVC

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