Towards an efficient model of visual saliency for objective image quality assessment

H. Liu; I.E.J. Heynderickx

doi:10.1109/ICASSP.2012.6288091

Towards an efficient model of visual saliency for objective image quality assessment

H. Liu, I.E.J. Heynderickx

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

5 Citations (Scopus)

Abstract

Based on "ground truth" eye-tracking data, earlier research [1] shows that adding natural scene saliency (NSS) can improve an objective metric's performance in predicting perceived image quality. To include NSS in a real-world implementation of an objective metric, a computational model instead of eye-tracking data is needed. Existing models of visual saliency are generally designed for a specific domain, and so, not applicable to image quality prediction. In this paper, we propose an efficient model for NSS, inspired by findings from our eye-tracking studies. Experimental results show that the proposed model sufficiently captures the saliency of the eye-tracking data, and applying the model to objective image quality metrics enhances their performance in the same manner as when including eye-tracking data. © 2012 IEEE.

Original language	English
Title of host publication	2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP, 25-30 March 2012, Kyoto
Place of Publication	Piscataway
Pages	1153-1156
Number of pages	4
ISBN (Electronic)	978-1-4673-0046-9
DOIs	https://doi.org/10.1109/ICASSP.2012.6288091
Publication status	Published - 2012
Externally published	Yes
Event	2012 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2012) - Kyoto, Japan Duration: 25 Mar 2012 → 30 Mar 2012

Conference

Conference	2012 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2012)
Abbreviated title	ICASSP 2012
Country/Territory	Japan
City	Kyoto
Period	25/03/12 → 30/03/12
Other	2012 IEEE international conference on acoustics, speech, and signal processing

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10.1109/ICASSP.2012.6288091

Cite this

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title = "Towards an efficient model of visual saliency for objective image quality assessment",

abstract = "Based on {"}ground truth{"} eye-tracking data, earlier research [1] shows that adding natural scene saliency (NSS) can improve an objective metric's performance in predicting perceived image quality. To include NSS in a real-world implementation of an objective metric, a computational model instead of eye-tracking data is needed. Existing models of visual saliency are generally designed for a specific domain, and so, not applicable to image quality prediction. In this paper, we propose an efficient model for NSS, inspired by findings from our eye-tracking studies. Experimental results show that the proposed model sufficiently captures the saliency of the eye-tracking data, and applying the model to objective image quality metrics enhances their performance in the same manner as when including eye-tracking data. {\textcopyright} 2012 IEEE.",

author = "H. Liu and I.E.J. Heynderickx",

year = "2012",

doi = "10.1109/ICASSP.2012.6288091",

language = "English",

isbn = "978-1-4673-0044-5",

pages = "1153--1156",

booktitle = "2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP, 25-30 March 2012, Kyoto",

note = "2012 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2012), ICASSP 2012 ; Conference date: 25-03-2012 Through 30-03-2012",

}

Liu, H & Heynderickx, IEJ 2012, Towards an efficient model of visual saliency for objective image quality assessment. in 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP, 25-30 March 2012, Kyoto. Piscataway, pp. 1153-1156, 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2012), Kyoto, Japan, 25/03/12. https://doi.org/10.1109/ICASSP.2012.6288091

Towards an efficient model of visual saliency for objective image quality assessment. / Liu, H.; Heynderickx, I.E.J.
2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP, 25-30 March 2012, Kyoto. Piscataway, 2012. p. 1153-1156.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Towards an efficient model of visual saliency for objective image quality assessment

AU - Liu, H.

AU - Heynderickx, I.E.J.

PY - 2012

Y1 - 2012

N2 - Based on "ground truth" eye-tracking data, earlier research [1] shows that adding natural scene saliency (NSS) can improve an objective metric's performance in predicting perceived image quality. To include NSS in a real-world implementation of an objective metric, a computational model instead of eye-tracking data is needed. Existing models of visual saliency are generally designed for a specific domain, and so, not applicable to image quality prediction. In this paper, we propose an efficient model for NSS, inspired by findings from our eye-tracking studies. Experimental results show that the proposed model sufficiently captures the saliency of the eye-tracking data, and applying the model to objective image quality metrics enhances their performance in the same manner as when including eye-tracking data. © 2012 IEEE.

AB - Based on "ground truth" eye-tracking data, earlier research [1] shows that adding natural scene saliency (NSS) can improve an objective metric's performance in predicting perceived image quality. To include NSS in a real-world implementation of an objective metric, a computational model instead of eye-tracking data is needed. Existing models of visual saliency are generally designed for a specific domain, and so, not applicable to image quality prediction. In this paper, we propose an efficient model for NSS, inspired by findings from our eye-tracking studies. Experimental results show that the proposed model sufficiently captures the saliency of the eye-tracking data, and applying the model to objective image quality metrics enhances their performance in the same manner as when including eye-tracking data. © 2012 IEEE.

U2 - 10.1109/ICASSP.2012.6288091

DO - 10.1109/ICASSP.2012.6288091

M3 - Conference contribution

SN - 978-1-4673-0044-5

SP - 1153

EP - 1156

BT - 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP, 25-30 March 2012, Kyoto

CY - Piscataway

T2 - 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2012)

Y2 - 25 March 2012 through 30 March 2012

ER -

Towards an efficient model of visual saliency for objective image quality assessment

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