A System to Select Reception Channel by Machine Learning in Hybrid Broadcasting Environments

Tomoki Yoshihisa; Yusuke Gotoh; Akimitsu Kanzaki

doi:10.1007/978-3-319-98530-5_74

A System to Select Reception Channel by Machine Learning in Hybrid Broadcasting Environments

Tomoki Yoshihisa, Yusuke Gotoh, Akimitsu Kanzaki

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

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.

Original language	English
Title of host publication	Lecture Notes on Data Engineering and Communications Technologies
Publisher	Springer
Pages	833-840
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-319-98530-5_74
Publication status	Published - 2019

Publication series

Name	Lecture Notes on Data Engineering and Communications Technologies
Volume	22
ISSN (Print)	2367-4512
ISSN (Electronic)	2367-4520

ASJC Scopus subject areas

Media Technology
Electrical and Electronic Engineering
Computer Science Applications
Computer Networks and Communications
Information Systems

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10.1007/978-3-319-98530-5_74

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A System to Select Reception Channel by Machine Learning in Hybrid Broadcasting Environments. / Yoshihisa, Tomoki; Gotoh, Yusuke; Kanzaki, Akimitsu.

Lecture Notes on Data Engineering and Communications Technologies. Springer, 2019. p. 833-840 (Lecture Notes on Data Engineering and Communications Technologies; Vol. 22).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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abstract = "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.",

author = "Tomoki Yoshihisa and Yusuke Gotoh and Akimitsu Kanzaki",

note = "Funding Information: Acknowledgments. A part of this work was supported by JSPS KAKENHI (Grant Number JP15H02702 and JP18K11316) and by Research Grant of Kayamori Foundation of Informational Science Advancement.",

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