WISH: User-centric Bitrate Adaptation for HTTP Adaptive Streaming on Mobile Devices

We implemented our recent proposed ABR algorithm based on a WeIghted Sum model for HAS, namely WISH, in ExoPlayer. WISH takes into account three cost factors of each video representation: (a) throughput cost, (b) buffer cost, and (c) quality cost. An overall cost, which is a weighted sum of these penalties, represents each video representation. Our proposed method provides the optimal segment bitrate by choosing the representation with the lowest overall cost for a certain time. A solution determining the weights of the cost factors based on end users’ preferences and mobile devices will be introduced in this work.

Usage

• Download and install this repository in an Android phone.
• To save the experimental results into files, go to App info and select Allow management of all files in Files and media permission.
• Run the experiments.
• Check the experimental results in /storage/emulated/0/WISH_ABR_Algorithm/ The structure of the result folder: WISH_ABR_Algorithm/<video_name>/BufMax<buffer_size>/<ABR_algorithm>/<date_time>

Authors

• Minh Nguyen - Christian Doppler Laboratory ATHENA, Alpen-Adria-Universitaet Klagenfurt - [email protected]

Acknowledgments

If you use this source code in your research, please cite

1. Include the link to this repository
2. Cite the following publication

Nguyen, M., Cetinkaya, E., Hellwagner, H. and Timmerer, C., "WISH: User-centric Bitrate Adaptation for HTTP Adaptive Streaming on Mobile Devices", In 2021 IEEE 23rd International Workshop on Multi-media Signal Processing (MMSP), IEEE, 2021.

@inproceedings{nguyen2021wish,
  title={{WISH: User-centric Bitrate Adaptation for HTTP Adaptive Streaming on Mobile Devices}},
  author={Nguyen, Minh and Cetinkaya, Ekrem and Hellwagner, Hermann and Timmerer, Christian },
  booktitle={Proceedings of the IEEE 23rd International Workshop on Multi-media Signal Processing (MMSP)},
  year={2021},
}