一种网络丢包的无参考视频质量评估方法

doi:10.3969/j.issn.1001-2400.2012.02.006

Abstract

Abstract:

A novel no-reference video quality assessment model is proposed in order to meet the real-time and low cost requirements of video quality assessment over IP networks. The temporal complexity is calculated without decoding, and the effect of different types of frame loss on video quality is considered. In the proposed model, both spatial and temporal error concealment artifacts of the human visual system (HVS) and frame types are taken into account. Video qualities could be assessed without delay by utilizing the proposed model. Experimental results show that the scores obtained by the proposed model highly agree with the subjective assessment scores. Compared with the video quality evaluation model in G.1070, an average performance gain of 6.96％ could be achieved by the proposed model in terms of relativity to subjective results.

Key words: no reference video quality assessment, packet loss, internet video, temporal complexity

CLC Number:

TN919.85

LIU Hechao;CHANG Yilin;YUAN Hui;YANG Jiawei. No-reference video quality assessment over the IP network based on packet loss[J].J4, 2012, 39(2): 29-34.

References

［1］杨付正, 常义林, 万帅, 等. 基于图像内容失真的全参考视频质量评估方法［J］. 西安电子科技大学学报, 2005, 32(6): 869-872.
Yang Fuzheng, Chang Yilin, Wan Shuai, et al. Full-reference Video Quality Assessment Method Based on the Distortion of Image Content ［J］. Journal of Xidian University, 2005, 32(6): 869-872.
［2］ Maisonneuve J, Deschanel M, Heiles J, et al. An Overview of IPTV Standards Development［J］. IEEE Trans on Broadcasting, 2009, 55(2): 315-328.
［3］ Gozdecki J, Jajszczyk A, Stankiewicz R. Quality of Service Terminology in IP Networks［J］. IEEE Communications Magazine Mar. 2003, 41(3): 153-159.
［4］ Rao K R, Bojkovic Z S. Packet Video Communications over ATM Networks ［M］. Upper Saddle River: Prentice Hall, 1999: 119-121.
［5］ Telecommunication Standardization Sector. Subjective Audiovisual Quality Assessment Methods for Multimedia Applications［S］. Geneva: Telecommunication Standardization Sector, 1998.
［6］ Wu Hongren, Rao K R. Digital Video Image Quality and Perceptual Coding［M］. Boca Raton: CRC Press, 2006: 87-122.
［7］ Telecommunication Standardization Sector. User Requirements for Objective Perceptual Video Quality Measurements in Digital Cable Television［S］. Geneva: Telecommunication Standardization Sector, 2000.
［8］ Reibman A R, Vaishampayan V A, Sermadevi Y. Quality Monitoring of Video over a Packet Network ［J］. IEEE Trans on Multimedia, 2004, 6(2): 327-334.
［9］ Tao S, Apostolopoulos J, Guerin R. Real-time Monitoring of Video Quality in IP Networks ［J］. IEEE Trans on Networking, 2008, 16(5): 1052-1065.
［10］ Naccari M, Tagliasacchi M, Tubaro S. No-reference Video Quality Monitoring for H.264/AVC Coded Video ［J］. Trans on Multimedia, 2009, 11(5): 932-942.
［11］ Yang Fuzheng, Wan Shuai, Xie Qingpeng, et al. No-reference Quality Assessment for Networked Video Via Primary Streaming Analysis of Bit Stream ［J］. IEEE Trans on Circuits and Systems for Video Technology, 2010, 20(11): 1544-1554.
［12］ Pinson M, Wolf S. Comparing Subjective Video Quality Testing Methodologies［J］. Proceedings of SPIE—the International Society for Optical Engineering, 2003, 51(1): 573-582.
［13］ Wang Yao, Zhu Qinfan. Error Control and Concealment for Video Communication: a Review［J］. Proceedings of the IEEE, 1998, 86(5): 974-997.
［14］ ITU-T Recommendation G. 1070. Opinion model for Video-telephony Applications ［DB/OL］. ［2010-11-20］. http://www.catr.cn/radar/itut/201007/P020100707628231956157.pdf.
［15］ VQEG Report. Hybrid Perceptual/Bitstream Group TEST PLAN 1.1［DB/OL］. ［2010-10-12］. http://www.its.bldrdoc.gov/vqeg/projects/multimedia/mm_i_testplan_v1.21_final.doc.

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No-reference video quality assessment over the IP network based on packet loss

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