采用模糊控制的网络视频质量评估方法
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摘要
随着宽带通信技术的快速发展,网络视频业务迅猛普及。尽管人们可以方便收看网络视频,但是由于网络视频在传输过程中,会受到各种因素干扰,降低用户感受。本文针对网络视频质量评估问题,提出一种采用模糊控制的评估方法。首先分析了影响视频质量的网络、应用、图像等主要指标;通过仿真实验提取了不同情况下的影响指标,构造了三层模糊控制的评估模型;为了进一步提高方法的准确性,对每个模糊层赋予了不同权值,同时给出了两种去模糊化方法。该方法综合考虑了不同影响因素,适用性广,且具有较好的实用性。实验结果表明,该算法能够有效地提高视频质量评估的主客观相似度。
With the rapid development of broadband communication technology,the service of network video was popular anywhere. Although people can watch network video conveniently,network video quality may be impaired by various factors during the transmission process,leading to the quality of experience (QoE) decrease. In order to solve the problem of network video quality assessment,an assessment method using fuzzy control was proposed in this paper. Firstly the main impair indexes of video quality were analyzed,such as network,application and image indexes; secondly these indexes were extracted by simulation experiments under different environment,next three levels fuzzy control of assessment model was built; to further improve the accuracy of this method,every fuzzy level was given different weight,and two kinds of de-fuzzification methods were given. This method considered different factors,and had wide applicability and good practicability.Experimental results show that the proposed method can improve the similarity between the subjective and objective better.
With the rapid development of broadband communication technology,the service of network video was popular anywhere. Although people can watch network video conveniently,network video quality may be impaired by various factors during the transmission process,leading to the quality of experience (QoE) decrease. In order to solve the problem of network video quality assessment,an assessment method using fuzzy control was proposed in this paper. Firstly the main impair indexes of video quality were analyzed,such as network,application and image indexes; secondly these indexes were extracted by simulation experiments under different environment,next three levels fuzzy control of assessment model was built; to further improve the accuracy of this method,every fuzzy level was given different weight,and two kinds of de-fuzzification methods were given. This method considered different factors,and had wide applicability and good practicability.Experimental results show that the proposed method can improve the similarity between the subjective and objective better.
引文
[1]Bampis C G,Li Zhi,Katsavounidis I,et al.Recurrent and Dynamic Models for Predicting Streaming Video Quality of Experience[J].IEEE Transactions on Image Processing,2018,27(7):3316-3331.
[2]刘春阳,朱琦.无线视频通信中带宽分配策略[J].信号处理,2015,31(6):737-743.Liu Chunyang,Zhu Qi.Bandwidth Allocation Scheme over Wireless Video Communication[J].Journal of Signal Processing,2015,31(6):737-743.(in Chinese)
[3]Moss F M,Wang Ke,Zhang Fan,et al.On the Optimal Presentation Duration for Subjective Video Quality Assessment[J].IEEE Transactions on Circuits and Systems for Video Technology,2015,26(11):1977-1987.
[4]Li Fan,Shuang Fu,Liu Ziyi,et al.A Cost-Constrained Video Quality Satisfaction Study on Mobile Devices[J].IEEE Transactions on Multimedia,2017,20(5):1154-1168.
[5]Demirtas A M,Reibman A R,Jafarkhani H.Full-Reference Video Quality Estimation for Videos With Different Spatial Resolutions[J].IEEE Transactions on Circuits and Systems for Video Technology,2015,26(11):1988-2000.
[6]Hu Sudeng,Jin Lina,Wang Hanli,et al.Objective Video Quality Assessment Based on Perceptually Weighted Mean Squared Error[J].IEEE Transactions on Circuits and Systems for Video Technology,2016,27(9):1844-1855.
[7]Zhu Kongfeng,Li Chengqing,Asari V,et al.No-reference video quality assessment based on artifact measurement and statistical analysis[J].IEEE Transactions on Circuits and System for Video Technology,2014,25(4):533-546.
[8]Vega M T,Mocanu D C,Famaey J,et al.Deep learning for quality assessment in live video streaming[J].IEEESignal Processing Letters,2017,24(6):736-740.
[9]Fiedler M,Hossfeld T,Tran-Gia P.A generic quantitative relationship between quality of experience and quality of service[J].IEEE Network,2010,24(2):36-41.
[10]Youssef Y B,Mellouk A,Afif M,et al.Video Quality assessment based on statistical selection approach for Qo Efactors dependency[C]∥IEEE Global Communications Conference 2016.Washington,DC:USA,2016:1-6.
[11]Zhang Fan,Bull D R.A perception-based hybrid model for video quality assessment[J].IEEE Transactions on Circuits and Systems for Video Technology,2015,26(6):1017-1028.
[12]宋佳润,苏洪磊,杨付正.网络视频质量包层评估模型研究[J].西安电子科技大学学报,2013,47(6):37-43.Song Jiarun,Su Honglei,Yang Fuzheng.Packet Layer Assessment Model for Networked Video Quality[J].Journal of Xi Dian University,2013,47(6):37-43.(in Chinese)
[13]余春艳,吴丽丽,陈国龙,等.基于运动剧烈程度的无参考视频质量评价模型[J].光子学报,2013,42(7):864-871.Yu Chunyan,Wu Lili,Chen Guolong,et al.A No-reference Assessment Model for Video Quality Based on Movement Activity[J].Acta Photonica Sinica,2013,42(7):864-871.(in Chinese)
[14]刘河潮,常义林,陈玉峰.H.264/AVC网络视频的丢包失真评估[J].哈尔滨工业大学学报,2014,46(5):81-86.Liu Hechao,Chang Yilin,Chen Yufeng.H.264/AVCvideo quality assessment over IP network based on packet loss[J].Journal of Harbin Institute of Technology,2014,46(5):81-86.(in Chinese)
[15]K.P.Mok R,W.W.Chan E,K.C.Chang R.Measuring the Quality of Experience of HTTP Video Streaming[C]∥12th IFIP/IEEE International Symposium on Integrated Network Management and Workshops 2011.Dublin:Ireland,2011:485-492.
[16]Kawano T,Yamagishi K,Watanabe K,et al.No Reference Video Quality Assessment Model For Video Streaming Services[C]∥2010 18th International Packet Video Workshop,Hong Kong:China,2010:158-164.
[17]Zheng Xu,Yang Bo,Liu Yanwen,et al.Blockiness E-valuation for Reducing Blocking Artifacts in Compressed Images[C]∥2009 Digest of Technical Papers International Conference on Consumer Electronics,Las Vegas,NV:USA,2009:1-2.
[18]Hameed A,Dai Rui,Balas B.A Decision-Tree-Based Perceptual Video Quality Prediction Model and Its Application in FEC for Wireless Multimedia Communications[J].IEEE Transactions on Multimedia,2016,18(4):764-774.
[19]Zhao Zhenbing,Yuan Jinsha,Gao Qing,et al.Wavelet image de-noising method based on noise standard deviation estimation[C]∥2007 International Conference on Wavelet Analysis and Pattern Recognition,Beijing,China,2007:1910-1914.
[20]Chen Zhibo,Liao Ning,Gu Xiaodong,et al.Hybrid Distortion Ranking Tuned Bit stream-Layer Video Quality Assessment[J].IEEE Transactions on Circuits and Systems for Video Technology,2016,26(6):1029-1042.
[21]Nightingale J,Wang Qi,Grecos C,et al.The impact of Network Impairment on Quality of Experience(Qo E)in H.265/HEVC Video Streaming[J].IEEE Transactions on Comsumer Electronics,2014,60(2):242-250.
[22]Xu Qiwei,Luo Xiaoxiao,Jiang Xiaobiao,et al.Research on double fuzzy control strategy for parallel hybrid electric vehicle based on GA and DP optimisation[J].IET Electrical Systems in Transportation,2018,8(2):144-151.
[23]Al-Naji A,Lee S H,Chahl J.Quality index evaluation of videos based on fuzzy interface system[J].IET Image Processing,2017,11(5):292-300.
[24]Moorthy A K,Seshadrinathan K,Soundaratajan R,et al.Wireless Video Quality Assessment:A Study of Subjective Scores and Objective Algorithms[J].IEEE Transactions on Circuits and Systems for Video Technology,2010,20(4):587-599.
[25]Moorthy A K,Choi L K,Bovik A C,et al.Video Quality Assessment on Mobile Devices:Subjective,Behavioral and Objective Studies[J].IEEE Journal of Selected Topics in Signal Processing,2012,6(6):652-671.
[26]Khan A,Sun Lingfen,Ifeachor E.Qo E Prediction Model and its Application in Video Quality Adaptation Over UMTS Networks[J].IEEE Transactions on Multimedia,2012,14(2):431-442.
[2]刘春阳,朱琦.无线视频通信中带宽分配策略[J].信号处理,2015,31(6):737-743.Liu Chunyang,Zhu Qi.Bandwidth Allocation Scheme over Wireless Video Communication[J].Journal of Signal Processing,2015,31(6):737-743.(in Chinese)
[3]Moss F M,Wang Ke,Zhang Fan,et al.On the Optimal Presentation Duration for Subjective Video Quality Assessment[J].IEEE Transactions on Circuits and Systems for Video Technology,2015,26(11):1977-1987.
[4]Li Fan,Shuang Fu,Liu Ziyi,et al.A Cost-Constrained Video Quality Satisfaction Study on Mobile Devices[J].IEEE Transactions on Multimedia,2017,20(5):1154-1168.
[5]Demirtas A M,Reibman A R,Jafarkhani H.Full-Reference Video Quality Estimation for Videos With Different Spatial Resolutions[J].IEEE Transactions on Circuits and Systems for Video Technology,2015,26(11):1988-2000.
[6]Hu Sudeng,Jin Lina,Wang Hanli,et al.Objective Video Quality Assessment Based on Perceptually Weighted Mean Squared Error[J].IEEE Transactions on Circuits and Systems for Video Technology,2016,27(9):1844-1855.
[7]Zhu Kongfeng,Li Chengqing,Asari V,et al.No-reference video quality assessment based on artifact measurement and statistical analysis[J].IEEE Transactions on Circuits and System for Video Technology,2014,25(4):533-546.
[8]Vega M T,Mocanu D C,Famaey J,et al.Deep learning for quality assessment in live video streaming[J].IEEESignal Processing Letters,2017,24(6):736-740.
[9]Fiedler M,Hossfeld T,Tran-Gia P.A generic quantitative relationship between quality of experience and quality of service[J].IEEE Network,2010,24(2):36-41.
[10]Youssef Y B,Mellouk A,Afif M,et al.Video Quality assessment based on statistical selection approach for Qo Efactors dependency[C]∥IEEE Global Communications Conference 2016.Washington,DC:USA,2016:1-6.
[11]Zhang Fan,Bull D R.A perception-based hybrid model for video quality assessment[J].IEEE Transactions on Circuits and Systems for Video Technology,2015,26(6):1017-1028.
[12]宋佳润,苏洪磊,杨付正.网络视频质量包层评估模型研究[J].西安电子科技大学学报,2013,47(6):37-43.Song Jiarun,Su Honglei,Yang Fuzheng.Packet Layer Assessment Model for Networked Video Quality[J].Journal of Xi Dian University,2013,47(6):37-43.(in Chinese)
[13]余春艳,吴丽丽,陈国龙,等.基于运动剧烈程度的无参考视频质量评价模型[J].光子学报,2013,42(7):864-871.Yu Chunyan,Wu Lili,Chen Guolong,et al.A No-reference Assessment Model for Video Quality Based on Movement Activity[J].Acta Photonica Sinica,2013,42(7):864-871.(in Chinese)
[14]刘河潮,常义林,陈玉峰.H.264/AVC网络视频的丢包失真评估[J].哈尔滨工业大学学报,2014,46(5):81-86.Liu Hechao,Chang Yilin,Chen Yufeng.H.264/AVCvideo quality assessment over IP network based on packet loss[J].Journal of Harbin Institute of Technology,2014,46(5):81-86.(in Chinese)
[15]K.P.Mok R,W.W.Chan E,K.C.Chang R.Measuring the Quality of Experience of HTTP Video Streaming[C]∥12th IFIP/IEEE International Symposium on Integrated Network Management and Workshops 2011.Dublin:Ireland,2011:485-492.
[16]Kawano T,Yamagishi K,Watanabe K,et al.No Reference Video Quality Assessment Model For Video Streaming Services[C]∥2010 18th International Packet Video Workshop,Hong Kong:China,2010:158-164.
[17]Zheng Xu,Yang Bo,Liu Yanwen,et al.Blockiness E-valuation for Reducing Blocking Artifacts in Compressed Images[C]∥2009 Digest of Technical Papers International Conference on Consumer Electronics,Las Vegas,NV:USA,2009:1-2.
[18]Hameed A,Dai Rui,Balas B.A Decision-Tree-Based Perceptual Video Quality Prediction Model and Its Application in FEC for Wireless Multimedia Communications[J].IEEE Transactions on Multimedia,2016,18(4):764-774.
[19]Zhao Zhenbing,Yuan Jinsha,Gao Qing,et al.Wavelet image de-noising method based on noise standard deviation estimation[C]∥2007 International Conference on Wavelet Analysis and Pattern Recognition,Beijing,China,2007:1910-1914.
[20]Chen Zhibo,Liao Ning,Gu Xiaodong,et al.Hybrid Distortion Ranking Tuned Bit stream-Layer Video Quality Assessment[J].IEEE Transactions on Circuits and Systems for Video Technology,2016,26(6):1029-1042.
[21]Nightingale J,Wang Qi,Grecos C,et al.The impact of Network Impairment on Quality of Experience(Qo E)in H.265/HEVC Video Streaming[J].IEEE Transactions on Comsumer Electronics,2014,60(2):242-250.
[22]Xu Qiwei,Luo Xiaoxiao,Jiang Xiaobiao,et al.Research on double fuzzy control strategy for parallel hybrid electric vehicle based on GA and DP optimisation[J].IET Electrical Systems in Transportation,2018,8(2):144-151.
[23]Al-Naji A,Lee S H,Chahl J.Quality index evaluation of videos based on fuzzy interface system[J].IET Image Processing,2017,11(5):292-300.
[24]Moorthy A K,Seshadrinathan K,Soundaratajan R,et al.Wireless Video Quality Assessment:A Study of Subjective Scores and Objective Algorithms[J].IEEE Transactions on Circuits and Systems for Video Technology,2010,20(4):587-599.
[25]Moorthy A K,Choi L K,Bovik A C,et al.Video Quality Assessment on Mobile Devices:Subjective,Behavioral and Objective Studies[J].IEEE Journal of Selected Topics in Signal Processing,2012,6(6):652-671.
[26]Khan A,Sun Lingfen,Ifeachor E.Qo E Prediction Model and its Application in Video Quality Adaptation Over UMTS Networks[J].IEEE Transactions on Multimedia,2012,14(2):431-442.