Traditional and Virtual Reality Video Streaming

Video streaming is one of the dominating internet traffics today! From traditional video streaming to immersive video streaming, we are facing similar performance, perception, and cost trade-offs between end-users and content providers. In this project, we explore techniques that optimize the streaming cost while maintaining good quality of experiences. Further, we are interested in understanding existing techniques' limitation when applied to new video format, as well as new challenges. This is a collaborative effort led by my collaborators Sheng Wei from Rutgers and Bo Jiang from Shanghai Jiao Tong University.

Papers

VVSec: Securing Volumetric Video Streaming via Benign Use of Adversarial Perturbation.

Zhongze Tang, Xianglong Feng, Yi Xie, Huy Phan, Tian Guo, Bo Yuan and Sheng Wei.

28th ACM International Conference on Multimedia (MM'20)

@inproceedings{grad_mm2020,
  author = {Liu, Yunzhuo and Jiang, Bo and Guo, Tian and Sitaraman, Ramesh K. and Towsley, Don and Wang, Xinbing},
  title = {Grad: Learning for Overhead-Aware Adaptive Video Streaming with Scalable Video Coding},
  year = {2020},
  isbn = {9781450379885},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  url = {https://doi.org/10.1145/3394171.3413512},
  doi = {10.1145/3394171.3413512},
  booktitle = {Proceedings of the 28th ACM International Conference on Multimedia},
  pages = {349–357},
  numpages = {9},
  keywords = {scalable video coding, reinforcement learning, adaptive bitrate algorithm},
  location = {Seattle, WA, USA},
  series = {MM '20}
}

GRAD: Learning for Overhead-aware Adaptive Video Streaming with Scalable Video Coding.

Yunzhuo Liu, Bo Jiang, Tian Guo, Ramesh Sitaraman, Don Towsley and Xinbing Wang.

28th ACM International Conference on Multimedia (MM'20)

@inproceedings{grad_mm2020,
  author = {Liu, Yunzhuo and Jiang, Bo and Guo, Tian and Sitaraman, Ramesh K. and Towsley, Don and Wang, Xinbing},
  title = {Grad: Learning for Overhead-Aware Adaptive Video Streaming with Scalable Video Coding},
  year = {2020},
  isbn = {9781450379885},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  url = {https://doi.org/10.1145/3394171.3413512},
  doi = {10.1145/3394171.3413512},
  booktitle = {Proceedings of the 28th ACM International Conference on Multimedia},
  pages = {349–357},
  numpages = {9},
  keywords = {scalable video coding, reinforcement learning, adaptive bitrate algorithm},
  location = {Seattle, WA, USA},
  series = {MM '20}
}

QuRate: Power-Efficient Mobile Immersive Video Streaming.

Nan Jiang, Yao Liu, Tian Guo, Wenyao Xu, Viswanathan Swaminathan, Lisong Xu, and Sheng Wei.

ACM Multimedia Systems Conference 2020 (MMSys'20), 🎉 🎉Best Paper, DASH-IF Excellence in DASH Award (3rd place) 🎉🎉

@article{qurate_mmsys2020,
  title={QuRate: Power-Efficient Mobile Immersive Video Streaming},
  author={Nan Jiang and Yao Liu and Tian Guo and Wenyao Xu and Viswanathan Swaminathan and Lisong Xu and Sheng Wei},
  journal={ACM Multimedia Systems Conference 2020 (MMSys'20)},
  year={2020},
}