Multipath
De Coninck, Q. and Bonaventure, O. (2017) ‘Multipath QUIC: Design and Evaluation’, in Proceedings of the 13th International Conference on emerging Networking EXperiments and Technologies. New York, NY, USA: Association for Computing Machinery (CoNEXT ’17), pp. 160–166. Available at: https://doi.org/10.1145/3143361.3143370.
Dhawaskar Sathyanarayana, S. et al. (2023) ‘Converge: QoE-driven Multipath Video Conferencing over WebRTC’, in Proceedings of the ACM SIGCOMM 2023 Conference. New York, NY, USA: Association for Computing Machinery (ACM SIGCOMM ’23), pp. 637–653. Available at: https://doi.org/10.1145/3603269.3604822.
Dong, P. et al. (2023) ‘Multipath TCP Meets Reinforcement Learning: A Novel Energy-Efficient Scheduling Approach in Heterogeneous Wireless Networks’, IEEE Wireless Communications, 30(2), pp. 138–146. Available at: https://doi.org/10.1109/MWC.013.2100658.
E, J. et al. (2024) ‘AggDeliv: Aggregating Multiple Wireless Links for Efficient Mobile Live Video Delivery’, in IEEE INFOCOM 2024 - IEEE Conference on Computer Communications. IEEE INFOCOM 2024 - IEEE Conference on Computer Communications, pp. 1173–1180. Available at: https://doi.org/10.1109/INFOCOM52122.2024.10621184.
Han, B. et al. (2016) ‘MP-DASH: Adaptive Video Streaming Over Preference-Aware Multipath’, in Proceedings of the 12th International on Conference on emerging Networking EXperiments and Technologies. CoNEXT ’16: The 12th International Conference on emerging Networking EXperiments and Technologies, Irvine California USA: ACM, pp. 129–143. Available at: https://doi.org/10.1145/2999572.2999606.
Kimura, B. et al. (2025) ‘Evaluating Adaptive Video Streaming over Multipath QUIC with Shared Bottleneck Detection’, ACM Transactions on Multimedia Computing, Communications, and Applications, p. 3711862. Available at: https://doi.org/10.1145/3711862.
Liu, Y. et al. (2021) Multipath Extension for QUIC. Internet Draft draft-liu-multipath-quic-04. Internet Engineering Task Force. Available at: https://datatracker.ietf.org/doc/draft-liu-multipath-quic (Accessed: 16 February 2025).
Luo, J., Su, X. and Liu, B. (2019) ‘A Reinforcement Learning Approach for Multipath TCP Data Scheduling’, in 2019 IEEE 9th Annual Computing and Communication Workshop and Conference (CCWC). 2019 IEEE 9th Annual Computing and Communication Workshop and Conference (CCWC), pp. 0276–0280. Available at: https://doi.org/10.1109/CCWC.2019.8666496.
Lv, G. et al. (2024) ‘Chorus: Coordinating Mobile Multipath Scheduling and Adaptive Video Streaming’, in Proceedings of the 30th Annual International Conference on Mobile Computing and Networking. ACM MobiCom ’24: 30th Annual International Conference on Mobile Computing and Networking, Washington D.C. DC USA: ACM, pp. 246–262. Available at: https://doi.org/10.1145/3636534.3649359.
MP-VR: An MPTCP-Based Adaptive Streaming Framework for 360-degree Virtual Reality Videos | IEEE Conference Publication | IEEE Xplore (no date). Available at: https://ieeexplore.ieee.org/document/9500817 (Accessed: 15 February 2025).
Multi-path multi-tier 360-degree video streaming in 5G networks | Proceedings of the 9th ACM Multimedia Systems Conference (no date). Available at: https://dl.acm.org/doi/abs/10.1145/3204949.3204978 (Accessed: 15 February 2025).
Ni, Y. et al. (2023) ‘CellFusion: Multipath Vehicle-to-Cloud Video Streaming with Network Coding in the Wild’, in Proceedings of the ACM SIGCOMM 2023 Conference. ACM SIGCOMM ’23: ACM SIGCOMM 2023 Conference, New York NY USA: ACM, pp. 668–683. Available at: https://doi.org/10.1145/3603269.3604832.
Paiva, T.W. do P. et al. (2023) ‘A First Look at Adaptive Video Streaming over Multipath QUIC with Shared Bottleneck Detection’, in Proceedings of the 14th ACM Multimedia Systems Conference. MMSys ’23: 14th Conference on ACM Multimedia Systems, Vancouver BC Canada: ACM, pp. 161–172. Available at: https://doi.org/10.1145/3587819.3590982.
Raiciu, C., Handley, M.J. and Wischik, D. (2011) Coupled Congestion Control for Multipath Transport Protocols. Request for Comments RFC 6356. Internet Engineering Task Force. Available at: https://doi.org/10.17487/RFC6356.
Silva, F., Bogusevschi, D. and Muntean, G.-M. (2018) ‘A MPTCP-based RTT-aware Packet Delivery Prioritisation Algorithm in AR/VR Scenarios’, in 2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC). 2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC), pp. 95–100. Available at: https://doi.org/10.1109/IWCMC.2018.8450524.
Xu, Z. et al. (2019) ‘Experience-Driven Congestion Control: When Multi-Path TCP Meets Deep Reinforcement Learning’, IEEE Journal on Selected Areas in Communications, 37(6), pp. 1325–1336. Available at: https://doi.org/10.1109/JSAC.2019.2904358.
Zheng, Z. et al. (2021) ‘XLINK: QoE-driven multi-path QUIC transport in large-scale video services’, in Proceedings of the 2021 ACM SIGCOMM 2021 Conference. SIGCOMM ’21: ACM SIGCOMM 2021 Conference, Virtual Event USA: ACM, pp. 418–432. Available at: https://doi.org/10.1145/3452296.3472893.
Spatial Video
Chen, G. et al. (2025a) ‘Spatial Video Streaming on Apple Vision Pro XR Headset’, in Proceedings of the 26th International Workshop on Mobile Computing Systems and Applications. HOTMOBILE ’25: The 26th International Workshop on Mobile Computing Systems and Applications, La Quinta CA USA: ACM, pp. 115–120. Available at: https://doi.org/10.1145/3708468.3711878.
Chen, G. et al. (2025b) ‘Spatial Video Streaming on XR Headsets’.
Wang, S. et al. (2024) ‘A First Look at Apple’s Stereoscopic Video and its Potential in Live Video Streaming for XR Headsets’, in Proceedings of the 30th Annual International Conference on Mobile Computing and Networking. ACM MobiCom ’24: 30th Annual International Conference on Mobile Computing and Networking, Washington D.C. DC USA: ACM, pp. 1617–1619. Available at: https://doi.org/10.1145/3636534.3697437.
Stereo Video
Aksay, Anil, Selen Pehlivan, Engin Kurutepe, Cagdas Bilen, Tanir Ozcelebi, Gozde Bozdagi Akar, M. Reha Civanlar, and A. Murat Tekalp. “End-to-End Stereoscopic Video Streaming with Content-Adaptive Rate and Format Control.” Signal Processing: Image Communication 22, no. 2 (February 2007): 157–68. https://doi.org/10.1016/j.image.2006.12.001.
Gürler, C. Göktug, K.Tolga Bağci, and A. Murat Tekalp. “Adaptive Stereoscopic 3D Video Streaming.” In 2010 IEEE International Conference on Image Processing, 2409–12, 2010. https://doi.org/10.1109/ICIP.2010.5651035.
Hou, Qiqi, Farzad Farhadzadeh, Amir Said, Guillaume Sautiere, and Hoang Le. “Low-Latency Neural Stereo Streaming.” In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 7974–84. Seattle, WA, USA: IEEE, 2024. https://doi.org/10.1109/CVPR52733.2024.00762.
Pehlivan, Selen, Anil Aksay, Cagdas Bilen, Gozde Bozdagi Akar, and M. Reha Civanlar. “End-to-End Stereoscopic Video Streaming System.” In 2006 IEEE International Conference on Multimedia and Expo, 2169–72, 2006. https://doi.org/10.1109/ICME.2006.262685.
Saygili, Görkem, Cihat Göktuğ Gurler, and A. Murat Tekalp. “Evaluation of Asymmetric Stereo Video Coding and Rate Scaling for Adaptive 3D Video Streaming.” IEEE Transactions on Broadcasting 57, no. 2 (June 2011): 593–601. https://doi.org/10.1109/TBC.2011.2131450.
General Video
Guionnet, Thomas, Khaled Jerbi, Thomas Burnichon, and Mickaäl Raulet. “MV-HEVC: How to Optimize Compression of Immersive 3D Content.” In Proceedings of the 3rd Mile-High Video Conference on Zzz, 87–87. Denver CO USA: ACM, 2024. https://doi.org/10.1145/3638036.3640246.
Paiva, Thomas William Do Prado, Simone Ferlin, Anna Brunstrom, Ozgu Alay, and Bruno Yuji Lino Kimura. “A First Look at Adaptive Video Streaming over Multipath QUIC with Shared Bottleneck Detection.” In Proceedings of the 14th ACM Multimedia Systems Conference, 161–72. Vancouver BC Canada: ACM, 2023. https://doi.org/10.1145/3587819.3590982.
Tech, Gerhard, Ying Chen, Karsten Müller, Jens-Rainer Ohm, Anthony Vetro, and Ye-Kui Wang. “Overview of the Multiview and 3D Extensions of High Efficiency Video Coding.” IEEE Transactions on Circuits and Systems for Video Technology 26, no. 1 (January 2016): 35–49. https://doi.org/10.1109/TCSVT.2015.2477935.
Wang, Lingdong, Simran Singh, Jacob Chakareski, Mohammad Hajiesmaili, and Ramesh K. Sitaraman. “BONES: Near-Optimal Neural-Enhanced Video Streaming.” Proc. ACM Meas. Anal. Comput. Syst. 8, no. 2 (May 29, 2024): 19:1-19:28. https://doi.org/10.1145/3656014.
ABR
Bentaleb, A. et al. (2019) ‘Bandwidth prediction in low-latency chunked streaming’, in Proceedings of the 29th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video. MMSys ’19: 10th ACM Multimedia Systems Conference, Amherst Massachusetts: ACM, pp. 7–13. Available at: https://doi.org/10.1145/3304112.3325611.
Bentaleb, A., N. Akcay, M., et al. (2022) ‘Catching the Moment With LoL+ in Twitch-Like Low-Latency Live Streaming Platforms’, IEEE Transactions on Multimedia, 24, pp. 2300–2314. Available at: https://doi.org/10.1109/TMM.2021.3079288.
Bentaleb, A., Zhan, Z., et al. (2022) ‘Low Latency Live Streaming Implementation in DASH and HLS’, in Proceedings of the 30th ACM International Conference on Multimedia. MM ’22: The 30th ACM International Conference on Multimedia, Lisboa Portugal: ACM, pp. 7343–7346. Available at: https://doi.org/10.1145/3503161.3548544.
Hou, Q. et al. (2024) ‘Low-Latency Neural Stereo Streaming’, in 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA: IEEE, pp. 7974–7984. Available at: https://doi.org/10.1109/CVPR52733.2024.00762.
Huang, T.-Y. et al. (2015) ‘A buffer-based approach to rate adaptation: evidence from a large video streaming service’, ACM SIGCOMM Computer Communication Review, 44(4), pp. 187–198. Available at: https://doi.org/10.1145/2740070.2626296.
Kryvoshei, O., Kamencay, P. and Stech, A. (2024) ‘Server Implementation Design for Adaptive 3D Video Streaming’, in 2024 34th International Conference Radioelektronika (RADIOELEKTRONIKA). 2024 34th International Conference Radioelektronika (RADIOELEKTRONIKA), pp. 1–6. Available at: https://doi.org/10.1109/RADIOELEKTRONIKA61599.2024.10524068.
Li, W. et al. (2023) ‘RAV: Learning-Based Adaptive Streaming to Coordinate the Audio and Video Bitrate Selections’, IEEE Transactions on Multimedia, 25, pp. 5662–5675. Available at: https://doi.org/10.1109/TMM.2022.3198013.
Öztürk, E. et al. (2020) ‘Low latency DASH - more than just spec: DASH-IF test tools’, in Proceedings of the 11th ACM Multimedia Systems Conference. MMSys ’20: 11th ACM Multimedia Systems Conference, Istanbul Turkey: ACM, pp. 353–356. Available at: https://doi.org/10.1145/3339825.3393582.
Song, C.-X., Han, B. and Su, J.-S. (2024) ‘4D-MAP: Multipath Adaptive Packet Scheduling for Live Streaming over QUIC’, Journal of Computer Science and Technology, 39(1), pp. 159–176. Available at: https://doi.org/10.1007/s11390-023-3204-z.
Spiteri, K., Sitaraman, R. and Sparacio, D. (2019) ‘From Theory to Practice: Improving Bitrate Adaptation in the DASH Reference Player’, ACM Transactions on Multimedia Computing, Communications, and Applications, 15(2s), pp. 1–29. Available at: https://doi.org/10.1145/3336497.
Spiteri, K., Urgaonkar, R. and Sitaraman, R.K. (2020) ‘BOLA: Near-Optimal Bitrate Adaptation for Online Videos’, IEEE/ACM Transactions on Networking, 28(4), pp. 1698–1711. Available at: https://doi.org/10.1109/TNET.2020.2996964.
Yan, F.Y. et al. (no date) ‘Learning in situ: a randomized experiment in video streaming’.
Yang, W., Cao, J. and Wu, F. (2021) ‘Adaptive Video Streaming with Scalable Video Coding using Multipath QUIC’, in 2021 IEEE International Performance, Computing, and Communications Conference (IPCCC). 2021 IEEE International Performance, Computing, and Communications Conference (IPCCC), pp. 1–7. Available at: https://doi.org/10.1109/IPCCC51483.2021.9679445.
Other
Sentosa, W. et al. (2025) ‘{CellReplay}: Towards accurate record-and-replay for cellular networks’, in. 22nd USENIX Symposium on Networked Systems Design and Implementation (NSDI 25), pp. 1169–1186. Available at: https://www.usenix.org/conference/nsdi25/presentation/sentosa (Accessed: 22 May 2025).