Network-adaptive video streaming using multiple description coding and path diversity

Authors:
Joohee Kim;R. M. Mersereau;Y. Altunbasak
Affiliations:
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA;Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA;Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Venue:
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1
Year:
2003

Citing 0
Cited 7

Adaptive packet video streaming over P2P networks

InfoScale '06 Proceedings of the 1st international conference on Scalable information systems
A motion-compensated overcomplete temporal decomposition for multiple description scalable video coding

Journal on Image and Video Processing
Distributed temporal multiple description coding for robust video transmission

EURASIP Journal on Wireless Communications and Networking - Multimedia over Wireless Networks
DVBMN-l: delay variation bounded multicast network with multiple paths

ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Mobile multipath cooperative network for real-time streaming

Image Communication
Adaptive multiple description coding for hybrid networks with dynamic PLR and BER

Image Communication
Exploiting multiple description coding for intermediate recovery in wireless mesh networks

Journal of Network and Computer Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a TCP-friendly rate allocation algorithm for multiple description coding combined with path diversity. A 3-D SPIHT-based multiple description coding is used to generate two independent substreams and each substream is protected with an FEC-based unequal error protection algorithm. In the proposed video streaming framework, two senders simultaneously stream complementary substreams to the receiver over different paths. The proposed rate allocation algorithm coordinates distributed video streaming from multiple senders to a single receiver to minimize the overall distortion. Simulation results show that the proposed algorithm increases tolerance to packet loss due to network congestion and achieves higher visual quality compared to non-adaptive methods.