@inproceedings{0b0cef15629f42adbe344b6baacd7afb,
title = "A cloud-based transcoding framework for real-time mobile video conferencing system",
abstract = "High-definition video applications are often challenging for mobile devices due to their limited processing capability and bandwidth-constrained network connection. To deal with this issue, this paper proposes a cloud based transcoding framework to achieve scalable and efficient video adaption for mobile devices. This framework introduces a prediction-based scheduling algorithm to optimize both latency requirement and cloud utility cost for mobile clients. Following this framework, we developed a prototype system based on Windows Azure. Experiment results show that our system can effectively provide low-latency and cost-efficient video service to mobile clients.",
keywords = "Azure, Cloud, Transcode",
author = "Rui Cheng and Wenjun Wu and Yihua Lou and Yongquan Chen",
year = "2014",
doi = "10.1109/MobileCloud.2014.31",
language = "英语",
isbn = "9781479925049",
series = "Proceedings - 2nd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering, MobileCloud 2014",
publisher = "IEEE Computer Society",
pages = "236--245",
booktitle = "Proceedings - 2nd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering, MobileCloud 2014",
address = "美国",
note = "2nd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering, MobileCloud 2014 ; Conference date: 07-04-2014 Through 10-04-2014",
}