抄録
This paper introduces recent trends in video streaming and four methods proposed by the authors for video streaming. Video traffic dominates the Internet as seen in current trends, and new visual contents such as UHD and 360-degree movies are being delivered. MPEG-DASH has become popular for adaptive video streaming, and machine learning techniques are being introduced in several parts of video streaming. Along with these research trends, the authors also tried four methods: route navigation, throughput prediction, image quality assessment, and perceptual video streaming. These methods contribute to improving QoS/QoE performance and reducing power consumption and storage size.
本文言語 | English |
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ページ(範囲) | 1240-1247 |
ページ数 | 8 |
ジャーナル | IEICE Transactions on Communications |
巻 | E102B |
号 | 7 |
DOI | |
出版ステータス | Published - 2019 |
ASJC Scopus subject areas
- ソフトウェア
- コンピュータ ネットワークおよび通信
- 電子工学および電気工学