Jiasi chen (princeton, nj, us). 'qava, a smart edge computing scheme, improves user quality of experience (qoe) and fairness in live video streaming by adaptively adjusting client. Jiasi chen, princeton edge labpresentation slides can be found at scenic.princeton.edu/openhouse2013/program.html.
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Applied Sciences Free FullText QuoTa An Online QualityAware
In this work, we develop an online video adaptation system, called quota aware video adaptation (qava), that manages this tradeoff by leveraging the compressibility of.
We develop a solution, qava, that achieves this.
Leveraging video compressibility and profiling user data consumption to design and prototype a video delivery system with minimum distortion and cost. Explore the list of 1 best qava meaning form based on popularity. What does qava abbreviation stand for? Most common qava abbreviation full form updated in july 2018.
In this paper, we design a video rate adaptation scheme which considers incomplete video sessions and aims at maximizing the quality of the video chunks that are actually. This paper presents a novel mechanism named rescompute, which enables to automatically compute threshold values up to which the video resolution can be. The explosion of traffic associated with video content poses significant challenges for mobile content provision. Is there a way for users to stay within their target data quota without suffering too much perceptual video quality degradation?
As a potential solution to the problem of video consumption under capped data plans, the qava (quota aware video adaptation) system is proposed.
Quota aware video adaptation (qava) authors: A system for selecting one of a plurality of video versions in. As an intelligent proxy server, a “smart edge” which deploys qava aggregates all the traffic requested by clients for the same live streaming service and adapts their bitrates based. While, on the one hand, mobile video traffic surge is forecast.
Quota aware video adaptation inventors: In this letter, a new bit rate adaptation decision taking technique is proposed based on the observations that ambient illumination context has an effect on the perceived video quality.
