Efficient broadcasting for scalable video coding streaming using random linear network coding

Ji Lu; Song Xiao; Chengke Wu

doi:10.1117/12.862382

24 August 2010 Efficient broadcasting for scalable video coding streaming using random linear network coding

Ji Lu, Song Xiao, Chengke Wu

Proceedings Volume 7810, Satellite Data Compression, Communications, and Processing VI; 78100O (2010) https://doi.org/10.1117/12.862382
Event: SPIE Optical Engineering + Applications, 2010, San Diego, California, United States

Abstract

In order to improve the reconstructed quality of video sequence, a Random Linear Network Coding (RLNC) based video transmission scheme for Scalable Video Coding (SVC) is proposed in wireless broadcast scenario. A packetization model for SVC streaming is introduced to transmit the scalable bit streams conveniently, on the basis of which the RLNC based Unequal Error Protection (RUEP) method is proposed to improve the efficiency of video transmission. The RUEP's advantage lies in the fact that the redundancy protection of UEP can be efficiently determine by the capacity of broadcast channel. Simulation results show that RUEP can improve the reconstructed quality of video sequence compared with the traditional Store and Forward (SF) based transmission schemes.

Citation Download Citation

Ji Lu, Song Xiao, and Chengke Wu "Efficient broadcasting for scalable video coding streaming using random linear network coding", Proc. SPIE 7810, Satellite Data Compression, Communications, and Processing VI, 78100O (24 August 2010); https://doi.org/10.1117/12.862382

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available