A frame level metric for just noticeable temporal pumping artifact in videos encoded with the hierarchical prediction structure

Yanchao Gong; Shuai Wan; Fuzheng Yang; Hong Ren Wu; Bo Li

doi:10.1109/ICIP.2015.7351360

A frame level metric for just noticeable temporal pumping artifact in videos encoded with the hierarchical prediction structure

Yanchao Gong, Shuai Wan, Fuzheng Yang, Hong Ren Wu, Bo Li

School of Electronics and Information

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

3 Scopus citations

Abstract

At low bit-rates, video coding in the hierarchical prediction structure (HPS) using the quantization parameter cascading strategy will introduce the temporal pumping artifact (TPA). TPA presents itself as a stumbling visual effect and is caused by severe quality fluctuations among adjacent pictures. This paper proposes a frame level metric for just noticeable temporal pumping artifact (JNTPA) relying on the characteristics of temporal-spatial masking in the human visual system (HVS). The proposed metric quantitatively determines the TPA when it becomes visible. The experiments have demonstrated that the estimated JNTPA values for different videos using the proposed metric are in line with the HVS perception. An accurate estimation of the JNTPA can be used in video coding for avoiding the annoying TPA, and in perceptual quality evaluation for videos.

Original language	English
Title of host publication	2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings
Publisher	IEEE Computer Society
Pages	3034-3038
Number of pages	5
ISBN (Electronic)	9781479983391
DOIs	https://doi.org/10.1109/ICIP.2015.7351360
State	Published - 9 Dec 2015
Event	IEEE International Conference on Image Processing, ICIP 2015 - Quebec City, Canada Duration: 27 Sep 2015 → 30 Sep 2015

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
Volume	2015-December
ISSN (Print)	1522-4880

Conference

Conference	IEEE International Conference on Image Processing, ICIP 2015
Country/Territory	Canada
City	Quebec City
Period	27/09/15 → 30/09/15

Keywords

Hierarchical prediction structure
Just noticeable temporal pumping artifact
Temporal-spatial masking effect
Video coding

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10.1109/ICIP.2015.7351360

Cite this

Gong, Y., Wan, S., Yang, F., Wu, H. R., & Li, B. (2015). A frame level metric for just noticeable temporal pumping artifact in videos encoded with the hierarchical prediction structure. In 2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings (pp. 3034-3038). Article 7351360 (Proceedings - International Conference on Image Processing, ICIP; Vol. 2015-December). IEEE Computer Society. https://doi.org/10.1109/ICIP.2015.7351360

Gong, Yanchao ; Wan, Shuai ; Yang, Fuzheng et al. / A frame level metric for just noticeable temporal pumping artifact in videos encoded with the hierarchical prediction structure. 2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings. IEEE Computer Society, 2015. pp. 3034-3038 (Proceedings - International Conference on Image Processing, ICIP).

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title = "A frame level metric for just noticeable temporal pumping artifact in videos encoded with the hierarchical prediction structure",

abstract = "At low bit-rates, video coding in the hierarchical prediction structure (HPS) using the quantization parameter cascading strategy will introduce the temporal pumping artifact (TPA). TPA presents itself as a stumbling visual effect and is caused by severe quality fluctuations among adjacent pictures. This paper proposes a frame level metric for just noticeable temporal pumping artifact (JNTPA) relying on the characteristics of temporal-spatial masking in the human visual system (HVS). The proposed metric quantitatively determines the TPA when it becomes visible. The experiments have demonstrated that the estimated JNTPA values for different videos using the proposed metric are in line with the HVS perception. An accurate estimation of the JNTPA can be used in video coding for avoiding the annoying TPA, and in perceptual quality evaluation for videos.",

keywords = "Hierarchical prediction structure, Just noticeable temporal pumping artifact, Temporal-spatial masking effect, Video coding",

author = "Yanchao Gong and Shuai Wan and Fuzheng Yang and Wu, {Hong Ren} and Bo Li",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Conference on Image Processing, ICIP 2015 ; Conference date: 27-09-2015 Through 30-09-2015",

year = "2015",

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doi = "10.1109/ICIP.2015.7351360",

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Gong, Y, Wan, S, Yang, F, Wu, HR & Li, B 2015, A frame level metric for just noticeable temporal pumping artifact in videos encoded with the hierarchical prediction structure. in 2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings., 7351360, Proceedings - International Conference on Image Processing, ICIP, vol. 2015-December, IEEE Computer Society, pp. 3034-3038, IEEE International Conference on Image Processing, ICIP 2015, Quebec City, Canada, 27/09/15. https://doi.org/10.1109/ICIP.2015.7351360

A frame level metric for just noticeable temporal pumping artifact in videos encoded with the hierarchical prediction structure. / Gong, Yanchao; Wan, Shuai; Yang, Fuzheng et al.
2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings. IEEE Computer Society, 2015. p. 3034-3038 7351360 (Proceedings - International Conference on Image Processing, ICIP; Vol. 2015-December).

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

TY - GEN

T1 - A frame level metric for just noticeable temporal pumping artifact in videos encoded with the hierarchical prediction structure

AU - Gong, Yanchao

AU - Wan, Shuai

AU - Yang, Fuzheng

AU - Wu, Hong Ren

AU - Li, Bo

PY - 2015/12/9

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N2 - At low bit-rates, video coding in the hierarchical prediction structure (HPS) using the quantization parameter cascading strategy will introduce the temporal pumping artifact (TPA). TPA presents itself as a stumbling visual effect and is caused by severe quality fluctuations among adjacent pictures. This paper proposes a frame level metric for just noticeable temporal pumping artifact (JNTPA) relying on the characteristics of temporal-spatial masking in the human visual system (HVS). The proposed metric quantitatively determines the TPA when it becomes visible. The experiments have demonstrated that the estimated JNTPA values for different videos using the proposed metric are in line with the HVS perception. An accurate estimation of the JNTPA can be used in video coding for avoiding the annoying TPA, and in perceptual quality evaluation for videos.

AB - At low bit-rates, video coding in the hierarchical prediction structure (HPS) using the quantization parameter cascading strategy will introduce the temporal pumping artifact (TPA). TPA presents itself as a stumbling visual effect and is caused by severe quality fluctuations among adjacent pictures. This paper proposes a frame level metric for just noticeable temporal pumping artifact (JNTPA) relying on the characteristics of temporal-spatial masking in the human visual system (HVS). The proposed metric quantitatively determines the TPA when it becomes visible. The experiments have demonstrated that the estimated JNTPA values for different videos using the proposed metric are in line with the HVS perception. An accurate estimation of the JNTPA can be used in video coding for avoiding the annoying TPA, and in perceptual quality evaluation for videos.

KW - Hierarchical prediction structure

KW - Just noticeable temporal pumping artifact

KW - Temporal-spatial masking effect

KW - Video coding

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Gong Y, Wan S, Yang F, Wu HR, Li B. A frame level metric for just noticeable temporal pumping artifact in videos encoded with the hierarchical prediction structure. In 2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings. IEEE Computer Society. 2015. p. 3034-3038. 7351360. (Proceedings - International Conference on Image Processing, ICIP). doi: 10.1109/ICIP.2015.7351360

A frame level metric for just noticeable temporal pumping artifact in videos encoded with the hierarchical prediction structure

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