JOURNAL ARTICLE

QoE-aware adaptive bitrate video streaming over mobile networks with caching proxy

Kai DongJun HeWei Song

Year: 2015 Journal:   2015 International Conference on Computing, Networking and Communications (ICNC)

Abstract

As a widely used over-the-top (OTT) video technique, adaptive bitrate video streaming has attracted considerable research attention and efforts. Traditional bitrate adaptation schemes rely on quality of service (QoS) to assess video delivery quality. However, in this paper, we argue that QoS may not accurately reflect the user-perceived video quality, especially in time-varying wireless networks. Instead, we adopt the concept of quality of experience (QoE) and propose a novel caching-based adaptation scheme to improve the overall QoE, which can more comprehensively gauge the subjective user satisfaction of video quality. Experiments show that the proposed method outperforms existing adaptation schemes in terms of QoE in various network scenarios. This observation is mainly attributed to the merits of our scheme in properly leveraging channel bandwidth prediction and proxy-based content prefetching.

Keywords:
Computer science Quality of experience Constant bitrate Computer network Quality of service Proxy (statistics) Adaptation (eye) Video quality Bandwidth (computing) Dynamic Adaptive Streaming over HTTP Wireless network Video streaming Multimedia Wireless Real-time computing Variable bitrate Telecommunications Metric (unit)

Metrics

19
Cited By
1.89
FWCI (Field Weighted Citation Impact)
13
Refs
0.90
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Image and Video Quality Assessment
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Caching and Content Delivery
Physical Sciences →  Computer Science →  Computer Networks and Communications
Video Coding and Compression Technologies
Physical Sciences →  Computer Science →  Signal Processing
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