Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
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Quality Adaptation of Intra-only Coded Video Transmission over Wireless Networks

  • Shu Tang (Chongqing Key Laboratory of Computer Network and Communications Technology, Chongqing University of Posts and Telecommunications) ;
  • Yuanhong Deng (Chongqing Key Laboratory of Computer Network and Communications Technology, Chongqing University of Posts and Telecommunications) ;
  • Peng Yang (Chongqing Key Laboratory of Computer Network and Communications Technology, Chongqing University of Posts and Telecommunications)
  • Received : 2021.07.29
  • Accepted : 2021.12.23
  • Published : 2023.12.31
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Abstract

Variable wireless channel is a big challenge for real-time video applications, and the rate adaptation of realtime video streaming becomes a hot topic. Intra-video coding is important for high-quality video communication and industrial video applications. In this paper, we proposed a novel adaptive scheme for real-time video transmission with intra-only coding over a wireless network. The key idea of this scheme is to estimate the instantaneous remaining capacity of the network to adjust the quality of the next several video frames, which not only can keep low queuing delay and ensure video quality, but also can respond to bandwidth changes quickly. We compare our scheme with three different schemes in the video transmission system. The experimental results show that our scheme has higher bandwidth utilization and faster bandwidth change response, while maintaining low queuing delay.

Keywords

Acknowledgement

This work was supported in part by the National Natural Science Foundation of China (Grant No. 61601070) and the Special General Program of Technology Innovation and Application Development of Chongqing (Grant No. cstc2020jscx-msxm1505).

References

  1. C. Bachhuber, E. Steinbach, M. Freundl, and M. Reisslein, "On the minimization of glass-to-glass and glassto-algorithm delay in video communication," IEEE Transactions on Multimedia, vol. 20, no. 1, pp. 238-252, 2018. https://doi.org/10.1109/TMM.2017.2726189
  2. S. Lei and Y. Jun, "Research on adaptive transmission mechanism of video data," in Proceedings of 2015 International Conference on Computational Intelligence and Communication Networks (CICN), Jabalpur, India, 2015, pp. 570-573. https://doi.org/10.1109/CICN.2015.117
  3. A. A. B. Ifit, O. Alaoui-Fdili, P. Corlay, F. X. Coudoux, and M. El Hassouni, "Transmission energy analysis and modeling of a video sensor node in the context of next generation WVSN," in Proceedings of 2018 IEEE Conference on Antenna Measurements & Applications (CAMA), Vasteras, Sweden, 2018, pp. 1-4. https://doi.org/10.1109/CAMA.2018.8530585
  4. M. A. Labiod, M. Gharbi, F. X. Coudoux, P. Corlay, and N. Doghmane, "Cross-layer scheme for low latency multiple description video streaming over vehicular ad-hoc networks (VANETs)," AEU-International Journal of Electronics and Communications, vol. 104, pp. 23-34, 2019. https://doi.org/10.1016/j.aeue.2019.03.001
  5. Apple Inc., "HTTP Live Streaming (HLS)," c2023 [Online], Available: https://developer.apple.com/streaming/.
  6. "Information technology - Dynamic Adaptive Streaming over HTTP (DASH)," 2019 [Online], Available: https://www.iso.org/standard/79329.html.
  7. J. Yoon and S. Banerjee, "Hardware-assisted, low-cost video transcoding solution in wireless networks," IEEE Transactions on Mobile Computing, vol. 19, no. 3, pp. 581-597, 2020. https://doi.org/10.1109/TMC.2019.2898834
  8. Y. Li, S. Wang, X. Zhang, C. Zhou, and S. Ma, "High efficiency live video streaming with frame dropping," in Proceedings of 2020 IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, 2020, pp. 1226-1230. https://doi.org/10.1109/ICIP40778.2020.9190683
  9. B. Wang, F. Ren, and C. Zhou, "Hybrid control-based ABR: Towards low-delay live streaming," in Proceedings of 2019 IEEE International Conference on Multimedia and Expo (ICME), Shanghai, China, 2019, pp. 754-759. https://doi.org/10.1109/ICME.2019.00135
  10. Y. F. Ou, Y. Xue, and Y. Wang, "Q-STAR: a perceptual video quality model considering impact of spatial, temporal, and amplitude resolutions," IEEE Transactions on Image Processing, vol. 23, no. 6, pp. 2473-2486, 2014. https://doi.org/10.1109/TIP.2014.2303636
  11. C. He, Z. Xie, and C. Tian, "An adaptive QP adjustment of multimedia over heterogeneous wireless networks," IOP Conference Series: Materials Science and Engineering, vol. 719, no. 1, article no. 012028, 2020. https://doi.org/10.1088/1757-899X/719/1/012028
  12. T. Arsan, "Review of bandwidth estimation tools and application to bandwidth adaptive video streaming," in Proceedings of International Conference on High Capacity Optical Networks and Emerging/Enabling Technologies (HONET), Istanbul, Turkey, 2012, pp. 152-156. https://doi.org/10.1109/HONET.2012.6421453
  13. X. Zhu and R. Pan, "NADA: a unified congestion control scheme for low-latency interactive video," in Proceedings of 2013 20th International Packet Video Workshop, San Jose, CA, USA, 2013, pp. 1-8. https://doi.org/10.1109/PV.2013.6691448
  14. G. Carlucci, L. De Cicco, S. Holmer, and S. Mascolo, "Congestion control for web real-time communication," IEEE/ACM Transactions on Networking, vol. 25, no. 5, pp. 2629-2642, 2017. https://doi.org/10.1109/TNET.2017.2703615
  15. T. Dai, X. Zhang, and Z. Guo, "Learning-based congestion control for internet video communication over wireless networks," in Proceedings of 2018 IEEE International Symposium on Circuits and Systems (ISCAS), Florence, Italy, 2018, pp. 1-5. https://doi.org/10.1109/ISCAS.2018.8351530
  16. Y. Hao and W. Fang, "The research on algorithm for congestion control based on video transmission," in Proceedings of 2013 5th International Conference on Intelligent Networking and Collaborative Systems, Xi'an, China, 2013, pp. 344-347. https://doi.org/10.1109/INCoS.2013.64
  17. H. Schwarz, D. Marpe, and T. Wiegand, "Overview of the scalable video coding extension of the H.264/AVC standard," IEEE Transactions on Circuits and Systems for Video Technology, vol. 17, no. 9, pp. 1103-1120, 2007. https://doi.org/10.1109/TCSVT.2007.905532
  18. C. Al Hasrouty, M. L. Lamali, V. Autefage, C. Olariu, D. Magoni, and J. Murphy, "Adaptive multicast streaming for videoconferences on software-defined networks," Computer Communications, vol. 132, pp. 42-55, 2018. https://doi.org/10.1016/j.comcom.2018.09.009
  19. S. Fouladi, J. Emmons, E. Orbay, C. Wu, R. S. Wahby, and K. Winstein, "Salsify: low-latency network video through tighter integration between a video codec and a transport protocol," in Proceedings of 15th USENIX Symposium on Networked Systems Design and Implementation (NSDI), Reston, WA, USA, 2018, pp. 267-282.
  20. T. Wiegand, G. J. Sullivan, G. Bjontegaard, and A. Luthra, "Overview of the H. 264/AVC video coding standard," IEEE Transactions on Circuits and Systems for Video Technology, vol. 13, no. 7, pp. 560-576, 2003. https://doi.org/10.1109/TCSVT.2003.815165
  21. L. Wu, A. Zhou, X. Chen, L. Liu, and H. Ma, "GCC-beta: improving interactive live video streaming via an adaptive low-latency congestion control," in Proceedings of 2019 IEEE International Conference on Communications (ICC), Shanghai, China, 2019, pp. 1-6. https://doi.org/10.1109/ICC.2019.8761256