基于可见损伤持续时间贝叶斯网络的视频QoE评估方法

doi:10.11959/j.issn.1000-436x.2017122

Abstract

Abstract:

At present,the influence of the image sustained damage is often neglected in the objective method of the quality of user experience in video service.In view of this problem,the effect of the visible duration of visual impairment on the quality of the user experience was discussed.At the same time,the objective reason of continuous damage was analyzed,and a Bayesian network was constructed which included hierarchical objective index and subjective evaluation result.On this basis,a no-reference evaluation method for the quality of video service experience was proposed,and the accuracy of the method is verified by subjective test.

Key words: video QoE, Bayesian network, image sustained damage

CLC Number:

TP393

Yang GENG,Su-jie SHAO,Shao-yong GUO,Peng YU. Bayesian network-based video QoE assessment method using image sustained damage analysis[J]. Journal on Communications, 2017, 38(6): 136-141.

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视频帧类型	负载网络数据分组的平均值/个
I帧	36.52
P帧	26.47
B帧	16.69

样本名称	可见显示损伤持续时间/s
Cosatguard	0.08	0.20	1.20	2.80	3.20
	4.40	6.40	6.80	8.00	10.00
Container	0.16	0.24	0.80	2.40	4.00
	4.80	5.60	7.20	8.40	9.60
Foreman	0.08	0.20	1.60	2.00	3.20
	5.20	6.40	7.60	8.40	10.00
Hall	0.12	0.24	1.60	2.80	3.60
	4.40	6.00	6.80	8.80	9.20
Mobile	0.16	0.40	1.20	2.40	4.00
	5.20	5.60	7.20	8.80	9.20
News	0.12	0.40	0.80	2.00	3.60
	4.80	6.00	7.60	8.00	9.60

聚类	可见显示损伤持续时间/s
C₁	0.08	0.12	0.16	0.2	0.24	0.4	0.8	1.2
C₂	1.6	2.0	2.4	2.8	—	—	—	—
C₃	3.2	3.6	4.0	4.4	4.8	5.2	5.6	6.0
C₄	6.4	6.8	7.2	7.6	8.0	—	—	—
C₅	8.4	8.8	9.2	9.6	10.0	—	—	—

聚类	μ	σ
C₁	87.23	14.19
C₂	77.38	10.30
C₃	60.78	17.63
C₄	44.15	17.59
C₅	31.79	21.50

样本名称	帧率/(frame·s^?1)	时长/s	GOP(N,M)结构	S(I)	S(P)	S(B)
Coastguard	24	10	15:2	36.52	26.46	16.69
Highway2000	200	10	12:2	21.26	13.91	12.15

Bayesian network-based video QoE assessment method using image sustained damage analysis

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