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Ultra-HEVC using frame frequency error optimization technique for IPTV realization

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Abstract

Internet Protocol Television (IPTV) is an emerging network application in the internet world. One of the most reliable networks is IPTV which gives high speed for internet services. As IPTV offers many live services on user demand and it has many advantages. But still, some problem exists in the existing implementation such as degradation of quality and delay while maintaining limited frames and efficient bandwidth consumption over the network channel. The efficient bandwidth utilization is a major issue in IPTV platforms. Integrating the video processing on network platform is the challenging task in video on demand (VoD) application. This paper overcomes the drawbacks of existing IPTV by using Frame Frequency Error Optimization (FFEO) based HEVC approach which is called as U-HEVC. The FFEO method upgrades the video quality by interpolation of frames. U-HEVC delivers 50% better compression similar to the existing HEVC standard and it also provides better visual quality at half the bit rates. The Analysis of proposed U-HEVC attain better results compared to existing HEVC compression algorithms that higher number of packets get affected at different bit rate levels. In HEVC the Frame loss of 1 Mbps is 0.38%, 2 Mbps is 0.46%, 4 Mbps is 0.63% and 8 Mbps is 0.94%. When compared to the U-HEVC the Frame loss is somewhat high in HEVC. This paper presents the studies on IPTV environment based on U-HEVC using frame frequency error optimization technique.

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References

  1. Abdellah S, Youcef S, Lamine D (2015) Implementation of HEVC Intra 4x4 Prediction on FPGA, in Science and Information Conference (SAI)

  2. Ahilam A, James EAK (2011) Design and implementation of real time car theft detection in FPGA, International Conference on Advanced Computing

  3. Ahilan A, Deepa P (2015) Design for built-in FPGA reliability via fine-grained 2-D error correction codes. 2015 Microelectronics reliability 55(9–10):2108–2112

    Article  Google Scholar 

  4. Anegekuh L, Sun L, Jammeh E, Mkwawa I-H, Ifeachor E (2015) Content-based video quality prediction for HEVC encoded videos streamed over packet networks. IEEE Trans Multimedia 17(8):1323–1334

    Article  Google Scholar 

  5. Chen N, Jiang X, Wang C (2012) Impact of packet loss distribution on the perceived IPTV video quality, 5th International Congress on Image and Signal Processing

  6. Chung Y (2010) Symmetrical frame discard method for 3D video over IP networks. IEEE Trans Consumer Electron 56(4):2790–2796

    Article  Google Scholar 

  7. D’huys T, Momcilovic S, Pratas F, Sousa L (2014) Reconfigurable Data Flow Engine For HEVC Motion Estimation, in IEEE International Conference on Image Processing (ICIP)

  8. Degrande N, De Vleeschauwer D, Laevens K (2008) Protecting IPTV against packet loss: Techniques and trade-offs. Bell Labs Tech J 13(1):35–51

    Article  Google Scholar 

  9. Engelhardt D, Moller J, Hahlbeck J, Stabernack B (2014) FPGA implementation of a full HD real-time HEVC main profile decoder’, in. IEEE Trans Consum Electron 60(3):476–484

    Article  Google Scholar 

  10. Gutierrez J, Perez P, Jaureguizar F, Cabrera J, Garcia N (2012) Monitoring Packet Loss Impact in IPTV and 3DTV receivers. IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV p 172–173

  11. Hassane Khabbiza E, Alami REI, Qjidaa H (2016) A new method to reduce the bandwidth of IPTV systems, in 5th International Conference on Multimedia Computing and Systems(ICMCS), pp. 687–692

  12. Hernando D, Lopez de Vergara JEL, Madrigal D, Mata F (2013) Evaluating quality of experience in IPTV services using MPEG frame loss rate International Conference on Smart Communications in Network Technologies(SaCoNet). pp. 1–5

  13. Hnesh AMG, Demirel H (2016) DWT-DCT-SVG Based Hybrid Lossy Image Compression Technique. J. of Image Processing Applications and Systems (IPAS)

  14. Jiang L, Yang Q, Zhu Y, Deng JY A Parallel Implementation of Deblocking Filter Based on Video Array Architecture for HEVC, in 7th International Conference on Green and Sustainable Computing Conference (IGSC)

  15. Kalali E, Ozcan E, Yalcinkaya OM, Hamzaoglu I (2014) A low energy HEVC inverse transform hardware’, in. IEEE Trans Consum Electron 60(4):754–761

    Article  Google Scholar 

  16. Kammoun M, Atitallah AB, Masmoudi N (2014) An Optimized Hardware Architecture for Intra Prediction for HEVC, in 1st International Conference on Image Processing, Applications and Systems Conference (IPAS)

  17. Kumar G, Singh Er.S, Kumar R, and Kumar A (2015) DWT-DCT Technique and Arithmetic-Huffman Coding based Image Compression. Int. J. Eng. and Manuf. 20–33

  18. Lee H, Chung Y-U (2016) 2D-to-3D conversion based hybrid frame discard method for 3D IPTV systems,” in. IEEE Trans Consum Electron 62:463–470

    Article  Google Scholar 

  19. Liao N, Chen Z (2013) No-reference IPTV video quality modeling based on contextual visual distortion estimation, in Asia – Pacific Signal and Information Processing Association Annual Summit and Conference, pp. 1–8

  20. Ma S, Wang S, Zhao L, Yu Q, Gao W (2013) Low Complexity Rate-Distortion Optimization for HEVC, Data Compression Conference, pp. 73–82

  21. McGee AR, Bastry FA and Ramirez D (2008) Existing Threats to IPTV Implementations, pp 252

  22. Medhat A, Shalaby A, Sayed MS, Elsabrouty M, Mehdipour F (2014) Fast Center Search Algorithm With Hardware Implementation For Motion Estimation in HEVC Encoder, IEEE International Conference on Electronics, Circuits and Systems (ICECS)

  23. Ramirez DH (2008) Introduction to IPTV, pp. 252

  24. Sayood K (2012) Introduction to Data Compression. 4th ed. Morgan Kaufmann

  25. Shi YQ, Sun H (1999) Image and video compression for multimedia engineering: fundamentals, algorithms, and standards. CRC Press, Boca Raton

    Book  Google Scholar 

  26. Sjovall P, Virtanen J, Vanne J, Hamalainen TD (2015) High-Level Synthesis Design Flow for HEVC Intra Encoder on SoC-FPGA, in Euromicro Conference on Digital System Design (DSD)

  27. Song J, Yang F, Zhou Y, Gao S (2017) Parametric Planning Model for Video Quality Evaluation of IPTV Services Combining Channel and Video Characteristics, IEEE Transactions on Multimedia, vol. 19, no. 5

    Article  Google Scholar 

  28. Sridhar K, Damm G, Cankaya HC (2008) end-to-end diagnostics in IPTV architectures. Bell Labs Technical Journal 13(1):29–34

    Article  Google Scholar 

  29. Sullivan GJ, Ohm JR, Han WJ, Wiegand T (2012) Overview of the high-efficiency video technol., vol. 22, no. 12, pp. 1649–1668

  30. Wige E, Yammine G, Amon P, Hutter A, Kaup A (2013) Pixel-based Averaging Predictor forHEVC Lossless Coding. IEEE Int. Conf. on Image Processing (ICIP) 1806–1810

  31. Xu W, Fu F, Wang Y, Wang J (2016) A DWT-based Lossless Intra Coding Scheme for HEVC. Proc. in Picture Coding Sym. (PCS) 1–6

  32. You F, Zhang W, Xiao J (2009) Packet Loss Pattern and Parametric Video Quality Model for IPTV, 7th IEEE Consumer Communications and Networking Conference

  33. Yu G, Westholm T, Kihl M, Senano I, Aurelius A, Lagerstedt C, Odling P (2009) Analysis and characterization of IPTV user behavior, in IEEE International Symposium on Broadband Multimedia Systems and broadcasting, pp. 1–6

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Correspondence to M. R. Arun.

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Arun, M.R., Selvakumar, S. Ultra-HEVC using frame frequency error optimization technique for IPTV realization. Multimed Tools Appl 79, 5083–5097 (2020). https://doi.org/10.1007/s11042-018-6316-7

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  • DOI: https://doi.org/10.1007/s11042-018-6316-7

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