ARBITER+: Adaptive Rate-Based InTElligent HTTP StReaming Algorithm for Mobile Networks

2018 ◽  
Vol 17 (12) ◽  
pp. 2716-2728 ◽  
Author(s):  
Ahmed Hamdy Zahran ◽  
Darijo Raca ◽  
Cormac J. Sreenan
2014 ◽  
Vol 08 (02) ◽  
pp. 229-243
Author(s):  
Sachin Deshpande

The newly approved High Efficiency Video Coding Standard (HEVC) includes temporal sub-layering feature, which provides temporal scalability. Two types of pictures — Temporal Sub-layer Access Pictures and Step-wise Temporal Sub-layer Access Pictures are provided for this purpose. This paper utilizes the temporal scalability in HEVC to provide bandwidth adaptive HTTP streaming. We describe our HTTP streaming algorithm, which is media timeline aware and which dynamically switches temporal sub-layers on the server side. We performed subjective tests to determine user perception regarding acceptable frame rates when using temporal scalability of HEVC. These results are used to control the algorithm's temporal switching behavior to provide a good quality of experience to the user. We applied Internet and 3GPP error-delay patterns to validate the performance of our algorithm.


2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Hung T. Le ◽  
Hai N. Nguyen ◽  
Nam Pham Ngoc ◽  
Anh T. Pham ◽  
Truong Cong Thang

Recently, HTTP streaming has become very popular for delivering videos over the Internet. For adaptivity, a provider should generate multiple versions of a video as well as the related metadata. Various adaptation methods have been proposed to support a streaming client in coping with strong bandwidth variations. However, most of existing methods target at constant bitrate (CBR) videos only. In this paper, we present a new method for quality adaptation in on-demand streaming of variable bitrate (VBR) videos. To cope with strong variations of VBR bitrate, we use a local average bitrate as the representative bitrate of a version. A buffer-based algorithm is then proposed to conservatively adapt video quality. Through experiments in the mobile streaming context, we show that our method can provide quality stability as well as buffer stability even under very strong variations of bandwidth and video bitrates.


Author(s):  
Jiunn-Tsair FANG ◽  
Zong-Yi CHEN ◽  
Chen-Cheng CHAN ◽  
Pao-Chi CHANG

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