The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
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Este artigo apresenta tendências recentes em streaming de vídeo e quatro métodos propostos pelos autores para streaming de vídeo. O tráfego de vídeo domina a Internet, conforme observado nas tendências atuais, e novos conteúdos visuais, como UHD e filmes em 360 graus, estão sendo entregues. O MPEG-DASH tornou-se popular para streaming de vídeo adaptativo e técnicas de aprendizado de máquina estão sendo introduzidas em diversas partes do streaming de vídeo. Junto com essas tendências de pesquisa, os autores também tentaram quatro métodos: navegação de rota, previsão de rendimento, avaliação de qualidade de imagem e streaming de vídeo perceptual. Esses métodos contribuem para melhorar o desempenho de QoS/QoE e reduzir o consumo de energia e o tamanho do armazenamento.
Kenji KANAI
Waseda University
Bo WEI
Waseda University
Zhengxue CHENG
Waseda University
Masaru TAKEUCHI
Waseda University
Jiro KATTO
Waseda University
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Kenji KANAI, Bo WEI, Zhengxue CHENG, Masaru TAKEUCHI, Jiro KATTO, "Methods for Adaptive Video Streaming and Picture Quality Assessment to Improve QoS/QoE Performances" in IEICE TRANSACTIONS on Communications,
vol. E102-B, no. 7, pp. 1240-1247, July 2019, doi: 10.1587/transcom.2018ANI0003.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2018ANI0003/_p
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@ARTICLE{e102-b_7_1240,
author={Kenji KANAI, Bo WEI, Zhengxue CHENG, Masaru TAKEUCHI, Jiro KATTO, },
journal={IEICE TRANSACTIONS on Communications},
title={Methods for Adaptive Video Streaming and Picture Quality Assessment to Improve QoS/QoE Performances},
year={2019},
volume={E102-B},
number={7},
pages={1240-1247},
abstract={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.},
keywords={},
doi={10.1587/transcom.2018ANI0003},
ISSN={1745-1345},
month={July},}
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TY - JOUR
TI - Methods for Adaptive Video Streaming and Picture Quality Assessment to Improve QoS/QoE Performances
T2 - IEICE TRANSACTIONS on Communications
SP - 1240
EP - 1247
AU - Kenji KANAI
AU - Bo WEI
AU - Zhengxue CHENG
AU - Masaru TAKEUCHI
AU - Jiro KATTO
PY - 2019
DO - 10.1587/transcom.2018ANI0003
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E102-B
IS - 7
JA - IEICE TRANSACTIONS on Communications
Y1 - July 2019
AB - 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.
ER -