A System to Select Reception Channel by Machine Learning in Hybrid Broadcasting Environments
A System to Select Reception Channel by Machine Learning in Hybrid Broadcasting Environments
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DOI：
10.1007/978-3-319-98530-5_74
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发表时间：
2018-08
影响因子：
2.1
通讯作者：
T. Yoshihisa;Y. Gotoh;A. Kanzaki
中科院分区：
文献类型：
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作者：
T. Yoshihisa;Y. Gotoh;A. Kanzaki
由于最近互联网的普及，一些电视广播服务同时使用电波广播系统和互联网(混合广播环境)来提供视频。当视频播放器在播放之前无法接收到一部分视频数据(视频数据段)时，会遇到播放中断。可以通过更早地接收视频数据段来降低遇到回放中断的概率。然而，视频播放器很难找到他们可以更早地从哪个接收频道(广播系统或互联网)接收视频数据段，因为接收视频数据段所需的时间取决于各种因素，例如广播时间表、接收视频播放器的数量等。为了找到合适的接收通道以减少播放中断，我们提出了一种通过机器学习来选择接收通道的系统。
Due to the recent prevalence of the Internet, some TV broadcasting services deliver videos using both electric wave broadcasting systems and the Internet (hybrid broadcasting environments). Video players encounter playback interruptions when they cannot receive a part of video data (video data segment) until the time to play it. The probability to encounter playback interruptions can be reduced by receiving video data segments earlier. However, it is difficult for video players to find from which reception channel (broadcasting system or the Internet) they can receive video data segments earlier since the time required for receiving them depends on various factors such as broadcasting schedules, the number of receiving video players, and so on. To find appropriate reception channels for reducing playback interruptions, we propose a system to select reception channel by machine learning.