JOURNAL ARTICLE

SVC-DASH-M: Scalable video coding dynamic adaptive streaming over HTTP using multiple connections

Abstract

Dynamic adaptive streaming over HTTP (DASH) has gained a significant momentum for multimedia streaming due to its ability in crossing firewalls and availability of infrastructure. In the mean time scalable video coding (SVC) is building a similar momentum as it enables efficient media storage and caching. In this work, we identify the main components of adaptive SVC-DASH client and propose an streaming heuristic over dynamic multiple connections. The proposed algorithm is experimentally tested under different connection and link configurations. Our results show that the algorithm successfully achieves interruption free streaming under all the tested bandwidth and link configurations. Additionally, the usage of multiple connections results in noticeable improvements in the achieved streaming quality for large link delays.

Keywords:
Dynamic Adaptive Streaming over HTTP Dash Computer science Scalability Video streaming Bandwidth (computing) Coding (social sciences) Heuristic Computer network Scalable Video Coding Real Time Streaming Protocol Real-time computing Quality of experience The Internet Quality of service

Metrics

15
Cited By
1.09
FWCI (Field Weighted Citation Impact)
12
Refs
0.78
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Video Coding and Compression Technologies
Physical Sciences →  Computer Science →  Signal Processing
Image and Video Quality Assessment
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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