ENG  Vol.9 No.5 , May 2017
Evaluation of Impairment Caused by MPEG Video Frame Loss
Abstract: This article presents a study on the impact of video frame losses on the quality perceived by users. Video compression standards, such as MPEG, use a sequence of frames called Group of Pictures (GOP), which is a video compression method which a frame is expressed in terms of one or more neighboring frames. This dependence between frames impacts directly in the quality because a loss of a reference frame prevents the decoding of other frames in GOP, thereby reducing the user-perceived quality. The assessment of quality in this article is estimated by Peak Signal Noise Ratio (PSNR), which compares the original and the received images. Computer simulations were used to show that the degradation on the quality may vary for different patterns of GOPs and type of lost frames.
Cite this paper: da Silva, C. , de Souza Miguel, G. , Sauer, J. and Pedroso, C. (2017) Evaluation of Impairment Caused by MPEG Video Frame Loss. Engineering, 9, 493-503. doi: 10.4236/eng.2017.95029.

[1]   Liu, Y., Guo, Y. and Liang, C. (2008) A Survey on Peer-to-Peer Video Streaming Systems. Peer-to-Peer Networking and Applications, 1, 18-28.

[2]   Cui, M. (2010) Research on Video on Demand Based on P2P Network. Intelligent Information Management, 2, 338-341.

[3]   Liu, D. and Baker, J. (2008) Streaming Multimedia over Wireless Mesh Networks. International Journal of Communications, Network and System Sciences, 2, 105-206.

[4]   Saeed, B., Lung, C., Kunz, T. and Srinivasan, A. (2013) Multimedia Streaming for Ad Hoc Wireless Mesh Networks Using Network Coding. International Journal of Communications, Network and System Sciences, 6, 204-220.

[5]   Rodríguez, D.Z., Rosa, R.L., Costa, E.A., Abrahão, J. and Bressan, G. (2014) Video Quality Assessment in Video Streaming Services Considering User Preference for Video Content. IEEE Transactions on Consumer Electronics, 60, 436-444.

[6]   Wei, C. and Zhang, H. (2014) Applications of a Streaming Video Server in a Mobile Phone Live Streaming System. Journal of Software Engineering and Applications, 7, 975-982.

[7]   Recommendation E.800 (2008) Definitions of Terms Related to Quality of Service. International Telecommunication Union’s Telecommunication Standardization Sector (ITU-T) Std.

[8]   Shen, Y., Liu, Y., Qiao, N., Sang, L. and Yang, D. (2012) QoE-Based Evaluation Model on Video Streaming Service Quality. Proceedings of the IEEE GC Globecom Workshops, Anaheim, 3-7 December 2012, 1314-1318.

[9]   Kist, A.A. and Brodie, L. (2012) Quality of Service, Quality of Experience and Online Learning. Proceedings of the Frontiers in Education Conference (FIE) of the IEEE, Seattle, 3-6 October 2012, 1-6.

[10]   Senthamilselvan, K. and Dhevi, L. (2016) Wireless Transmission Based Image Quality Analysis Using Uni-Level Haar Wavelet Transform. Circuits and Systems, 7, 1816-1821.

[11]   Recommendation, ITU-R BT. (2002) 500-11, Methodology for the Subjective Assessment of the Quality of Television Pictures. ITU Telecom. Standardization Sector of ITU.

[12]   Rodríguez, D.Z. and Bressan, G. (2012) Video Quality Assessments on Digital TV and Video Streaming Services Using Objective Metrics. IEEE Latin America Transactions, 10, 1184-1189.

[13]   Marpe, D., Wiegand, T. and Sullivan, G.J. (2006) The H.264/MPEG4 Advanced Video Coding Standard and Its Applications. IEEE Communications Magazine, 44, 134-143.

[14]   Greengrass, J., Evans, J. and Begen, A.C. (2009) Not All Packets Are Equal, Part I: Streaming Video Coding and SLA Requirements. IEEE Internet Computing, 13, 70-75.

[15]   Pedroso, C.M. and Klein, V. (2017) Application of Traffic Shaping for Quality-Preserving in Video Streaming over IP. WSEAS Transactions on Signal Processing, 13, 97-114.

[16]   da Silva, C.A.G., Ribeiro, E.P. and Pedroso, C.M. (2016) Preventing Quality Degradation of Video Streaming Using Selective Redundancy. Computer Communications, 91, 120-132.

[17]   Lee, I. and Guan, L. (2012) Inter-Frame Dependency in Multiview Multi-Description Video Streaming. Journal of Ambient Intelligence and Humanized Computing, 3, 87-94.

[18]   Khan, A., Sun, L., Jammeh, E. and Ifeachor, E. (2010) Quality of Experience-Driven Adaptation Scheme for Video Applications over Wireless Networks. IET Communications, 4, 1337-1347.

[19]   Wiegand, T., Sullivan, G.J., Bjontegaard, G. and Luthra, A. (2003) Overview of the H.264/AVC Video Coding Standard. IEEE Transactions on Circuits and Systems for Video Technology, 13, 560-576.

[20]   Greengrass, J., Evans, J. and Begen, A.C. (2009) Not All Packets Are Equal, Part 2: The Impact of Network Packet Loss on Video Quality. IEEE Internet Computing, 13, 74-82.

[21]   Vakili, A. and Gregoire, J.C. (2011) Impact of Frame Loss Position on Transmitted Video Quality: Models and Improvements. Proceedings of the 5th FTRA International Conference Multimedia and Ubiquitous Engineering (MUE), Crete, 28-30 June 2011, 113-118.

[22]   Paulikas, S. (2013) Estimation of Video Quality of H. 264/AVC Video Streaming. Proceedings of the EUROCON of the IEEE, Zagreb, 1-4 July, 694-700.

[23]   Orosz, P., Skopkó, T. and Varga, P. (2015) Towards Estimating Video QoE Based on Frame Loss Statistics of the video Streams. Proceedings of the IFIP/IEEE International Symposium in Integrated Network Management (IM), Ottawa, 11-15 May 2015, 1282-1285.

[24]   Venkataraman, M. and Chatterjee, M. (2014) Effects of Internet Path Selection on Video-Qoe: Analysis and Improvements. IEEE/ACM Transactions on Networking, 22, 689-702.

[25]   Huszák, á. and Imre, S. (2010) Analysing GOP Structure and Packet Loss Effects on Error Propagation in MPEG-4 Video Streams. Proceedings of the 4th International Symposium on Communications, Control and Signal Processing (ISCCSP) of the IEEE, Limassol, 3-5 March 2010, 1-5.

[26]   Dumitras, A. and Haskell, B.G. (2004) I/P/B Frame Type Decision by Collinearity of Displacements. Proceedings of the International Conference on Image Processing (ICIP’04), Singapore, 24-27 October 2004, 2769-2772.

[27]   Yokoyama, Y. (2000) Adaptive GOP Structure Selection for Real-Time MPEG-2 Video Encoding. Proceedings of the International Conference on Image Processing, Vancouver, 10-13 September 2000, 832-835.

[28]   Chen, Y., Lin, Y. and Hsieh, S. (2016) Analysis of Video Quality Variation with Different Bit Rates of H.264 Compression. Journal of Computer and Communications, 4, 32-40.

[29]   Chen, M.J., Su, C.C., Kwon, D.K., Cormack, L.K. and Bovik, A.C. (2013) Full-Reference Quality Assessment of Stereopairs Accounting for Rivalry. Signal Processing: Image Communication, 28, 1143-1155.

[30]   Bernardo, M.V., Pinheiro, A.M., Fiadeiro, P.T. and Pereira, M. (2014) Quality Assessment of Chromatic Variations: A Study of Full-Reference and No-Reference Metrics. Proceedings of the 22nd European Signal Processing Conference (EUSIPCO), Lisbon, 1-5 September 2014, 216-220.

[31]   Zinner, T., Abboud, O., Hohlfeld, O., Hossfeld, T. and Tran-Gia, P. (2010) Towards QoE Management for Scalable Video Streaming. Proceedings of the 21th ITC Specialist Seminar on Multimedia Applications-Traffic, Performance and QoE, Miyazaki, 2-3 March 2010, 64-69.

[32]   Klaue, J., Rathke, B. and Wolisz, A. (2003) EvalVid—A Framework for Video Transmission and Quality Evaluation. Proceedings of the 13th International Conference on Modelling Techniques and Tools for Computer Performance Evaluation (TOOLS), Urbana, 2-5 September 2003, 255-272.

[33]   FFmpeg (2016).

[34]   Begg, C.L. (2007) High Quality Video Streaming with SCTP over CDMA2000. MSc. Dissertation, University of Canterbury, Christchurch.

[35]   Xin, J., Lin, C.W. and Sun, M.T. (2005) Digital Video Transcoding. Proceedings of the IEEE, 93, 84-97.

[36]   Liang, Y.J., Apostolopoulos, J.G. and Girod, B. (2003) Analysis of Packet Loss for Compressed Video: Does Burst-Length Matter? Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2003), Hong Kong, 6-10 April 2003, 684-687.