Rate control optimization for live streaming using fixed-time playback buffer

Zhang, Dongyan; He, Hui; Li, Weihua; Du, Pingxin

doi:10.1007/s00500-015-1854-7

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2020

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“…However, it has received less attention in academic fields. Most studies of live video streaming have focused on the computer science and Information Systems realms (e.g., the optimization of live streaming systems), or examined scale and reliability problems [7][8][9][10]. Rarely have studies focused on explaining users' emotional involvement or audiences' continuous interactions.…”

Section: Introductionmentioning

confidence: 99%

What motivates audience comments on live streaming platforms?

Wang

2020

PLoS ONE

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This study aims to discuss audiences' interaction and engagement with live streaming from a sociological perspective to investigate the different effects of information factors on audiences' real-time interactions. Based on the interaction ritual chains theory, a data crawler was written using Python to collect data on the Huajiao platform for 1090 groups from 480 video game live rooms and 610 talent show live rooms. The results show that audiences' commenting was mostly affected by the number of viewers, the gender of streamers, the number of likes, the number of gifts, and the duration of the live stream. Group comparison found that the effect of the number of viewers was significantly stronger in video game streaming, while the number of likes had a negative effect in video game streaming and a strong positive effect in live talent shows.

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Section: Introductionmentioning

confidence: 99%

What motivates audience comments on live streaming platforms?

Wang

2020

PLoS ONE

View full text Add to dashboard Cite

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Rate control optimization for live streaming using fixed-time playback buffer

Cited by 1 publication

References 6 publications

What motivates audience comments on live streaming platforms?

What motivates audience comments on live streaming platforms?

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