作者
Bo Wei, Mayuko Okano, Kenji Kanai, Wataru Kawakami, Jiro Katto
发表日期
2018/10/9
研讨会论文
2018 IEEE 7th Global Conference on Consumer Electronics (GCCE)
页码范围
107-108
出版商
IEEE
简介
To ensure good quality of experience for user when transmitting video content, throughput prediction can contribute to the selection of proper bitrate. In this paper, we propose a throughput prediction method with recurrent neural network (RNN) model. Experiments are conducted to evaluate the methods, and the results indicate that proposed method can decrease the prediction error by a maximum of 29.39% compared with traditional methods.
学术搜索中的文章
B Wei, M Okano, K Kanai, W Kawakami, J Katto - 2018 IEEE 7th Global Conference on Consumer …, 2018