JOURNAL ARTICLE

Dynamic adaptive 3D multi-view video streaming over the internet

Abstract

Increasing throughput rates and technical developments in video streaming over the Internet offer an attractive solution for the distribution of immersive 3D multi-view. Nevertheless, robustness of video streaming is subject to its utilisation of efficient error resiliency and content aware adaptation techniques. Dynamic network characteristics resulting in frequent congestions may prevent video packets from being delivered in a timely manner. Packet delivery failures may become prominent, degrading 3D immersive video experience significantly. In order to overcome this problem, a novel view recovery technique for 3D free-viewpoint video is introduced to maintain 3D video quality in a cost-effective manner. In this concept, the undelivered (discarded) views as a result of adaptation in the network are recovered with high quality at the receiver side, using Side Information (SI) and the delivered frames of neighbouring views. The proposed adaptive 3D multi-view video streaming scheme is tested using Dynamic Adaptive Streaming over HTTP (MPEG-DASH) standard. Tests using the proposed adaptive technique have revealed that the perceptual 3D video quality under adverse network conditions is significantly improved thanks to the utilisation of the extra side information in view recovery. © 2013 ACM.

Keywords:
Computer science Dynamic Adaptive Streaming over HTTP Network packet The Internet Video quality Throughput Adaptation (eye) Multimedia Robustness (evolution) Real-time computing Quality of experience Video streaming Computer network Quality of service Telecommunications World Wide Web

Metrics

11
Cited By
1.30
FWCI (Field Weighted Citation Impact)
14
Refs
0.84
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
Video Coding and Compression Technologies
Physical Sciences →  Computer Science →  Signal Processing
Advanced Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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