Fair rate allocation of scalable multiple description video for many clients

Jacco R. Taal; R. L. Lagendijk

doi:10.1117/12.633445

24 June 2005 Fair rate allocation of scalable multiple description video for many clients

Jacco R. Taal, R. L. Lagendijk

Proceedings Volume 5960, Visual Communications and Image Processing 2005; 59606C (2005) https://doi.org/10.1117/12.633445
Event: Visual Communications and Image Processing 2005, 2005, Beijing, China

Abstract

Peer-to-peer networks (P2P) form a distributed communication infrastructure that is particularly well matched to video streaming using multiple description coding. We form M descriptions using MDC-FEC building on a scalable version of the "Dirac" video coder. The M descriptions are streamed via M different application layer multicast (ALM) trees embedded in the P2P network. Client nodes (peers in the network) receive a number of descriptions m < M that is dependent on their bandwidth. In this paper we consider the optimization of the received video qualities, taking into account the distribution of the clients' bandwidth. We propose three "fairness" criteria to define the criterion to be optimized. Numerical results illustrate the effects of the different fairness criteria and client bandwidth distributions on the rates allocated to the compressed video layers and multiple descriptions.

Citation Download Citation

Jacco R. Taal and R. L. Lagendijk "Fair rate allocation of scalable multiple description video for many clients", Proc. SPIE 5960, Visual Communications and Image Processing 2005, 59606C (24 June 2005); https://doi.org/10.1117/12.633445

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