Rate-SSIM optimization for video coding

Shiqi Wang; Abdul Rehman; Zhou Wang; Siwei Ma; Wen Gao

doi:10.1109/ICASSP.2011.5946533

Rate-SSIM optimization for video coding

Shiqi Wang
, Abdul Rehman
, Zhou Wang
, Siwei Ma
, Wen Gao

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

25 Citations (Scopus)

Abstract

The structural similarity (SSIM) index has been found to be a good indicator of perceived image quality. In this paper, we propose a rate-SSIM optimization scheme for mode selection in H.264/AVC video coding. To derive the Lagrange multiplier based on the properties of input sequences, a novel reduced-reference statistical SSIM model and a source-side information combined rate model are established. The proposed method is fully standard-compatible. Experimental results demonstrate that, compared with conventional rate distortion optimization coding schemes, the proposed scheme can achieve better rate-SSIM performance and provide better visual quality.

Original language	English
Title of host publication	2011 IEEE International Conference on Acoustics, Speech, and Signal Processing : Proceedings
Publisher	IEEE
Pages	833-836
ISBN (Electronic)	9781457705397, 9781457705373
ISBN (Print)	9781457705380
DOIs	https://doi.org/10.1109/ICASSP.2011.5946533
Publication status	Published - May 2011
Externally published	Yes
Event	36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Prague Congress Center, Prague, Czech Republic Duration: 22 May 2011 → 27 May 2011

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)	1520-6149
ISSN (Electronic)	2379-190X

Conference

Conference	36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011
Abbreviated title	ICASSP 2011
Place	Czech Republic
City	Prague
Period	22/05/11 → 27/05/11

Research Keywords

Lagrange multiplier
rate distortion optimization
rate-SSIM optimization
reduced-reference image quality assessment
SSIM index

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10.1109/ICASSP.2011.5946533

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Wang, S., Rehman, A., Wang, Z., Ma, S., & Gao, W. (2011). Rate-SSIM optimization for video coding. In 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing : Proceedings (pp. 833-836). Article 5946533 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). IEEE. https://doi.org/10.1109/ICASSP.2011.5946533

@inproceedings{a926f323d012479191f6686e38447c53,

title = "Rate-SSIM optimization for video coding",

abstract = "The structural similarity (SSIM) index has been found to be a good indicator of perceived image quality. In this paper, we propose a rate-SSIM optimization scheme for mode selection in H.264/AVC video coding. To derive the Lagrange multiplier based on the properties of input sequences, a novel reduced-reference statistical SSIM model and a source-side information combined rate model are established. The proposed method is fully standard-compatible. Experimental results demonstrate that, compared with conventional rate distortion optimization coding schemes, the proposed scheme can achieve better rate-SSIM performance and provide better visual quality. ",

keywords = "Lagrange multiplier, rate distortion optimization, rate-SSIM optimization, reduced-reference image quality assessment, SSIM index",

author = "Shiqi Wang and Abdul Rehman and Zhou Wang and Siwei Ma and Wen Gao",

year = "2011",

month = may,

doi = "10.1109/ICASSP.2011.5946533",

language = "English",

isbn = "9781457705380",

series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

publisher = "IEEE",

pages = "833--836",

booktitle = "2011 IEEE International Conference on Acoustics, Speech, and Signal Processing : Proceedings",

address = "United States",

note = "36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011, ICASSP 2011 ; Conference date: 22-05-2011 Through 27-05-2011",

}

Wang, S, Rehman, A, Wang, Z, Ma, S & Gao, W 2011, Rate-SSIM optimization for video coding. in 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing : Proceedings., 5946533, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, IEEE, pp. 833-836, 36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011, Prague, Czech Republic, 22/05/11. https://doi.org/10.1109/ICASSP.2011.5946533

Rate-SSIM optimization for video coding. / Wang, Shiqi; Rehman, Abdul; Wang, Zhou et al.
2011 IEEE International Conference on Acoustics, Speech, and Signal Processing : Proceedings. IEEE, 2011. p. 833-836 5946533 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Rate-SSIM optimization for video coding

AU - Wang, Shiqi

AU - Rehman, Abdul

AU - Wang, Zhou

AU - Ma, Siwei

AU - Gao, Wen

PY - 2011/5

Y1 - 2011/5

N2 - The structural similarity (SSIM) index has been found to be a good indicator of perceived image quality. In this paper, we propose a rate-SSIM optimization scheme for mode selection in H.264/AVC video coding. To derive the Lagrange multiplier based on the properties of input sequences, a novel reduced-reference statistical SSIM model and a source-side information combined rate model are established. The proposed method is fully standard-compatible. Experimental results demonstrate that, compared with conventional rate distortion optimization coding schemes, the proposed scheme can achieve better rate-SSIM performance and provide better visual quality.

AB - The structural similarity (SSIM) index has been found to be a good indicator of perceived image quality. In this paper, we propose a rate-SSIM optimization scheme for mode selection in H.264/AVC video coding. To derive the Lagrange multiplier based on the properties of input sequences, a novel reduced-reference statistical SSIM model and a source-side information combined rate model are established. The proposed method is fully standard-compatible. Experimental results demonstrate that, compared with conventional rate distortion optimization coding schemes, the proposed scheme can achieve better rate-SSIM performance and provide better visual quality.

KW - Lagrange multiplier

KW - rate distortion optimization

KW - rate-SSIM optimization

KW - reduced-reference image quality assessment

KW - SSIM index

UR - https://www.scopus.com/pages/publications/80051627443

UR - https://www.scopus.com/pages/publications/80051627443#tab=impact

U2 - 10.1109/ICASSP.2011.5946533

DO - 10.1109/ICASSP.2011.5946533

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781457705380

T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

SP - 833

EP - 836

BT - 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing : Proceedings

PB - IEEE

T2 - 36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011

Y2 - 22 May 2011 through 27 May 2011

ER -

Rate-SSIM optimization for video coding

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