Joint source coding and packet classification for real-time video transmission over Differentiated Services networks. Zhai, F., Luna, C. E. C., Eisenberg, Y., Pappas, T. T. N., Berry, R., Katsaggelos, A. K. A., Fan Zhai, Luna, C. E. C., Eisenberg, Y., Pappas, T. T. N., Berry, R., & Katsaggelos, A. K. A. IEEE Transactions on Multimedia, 7(4):716–725, IEEE, aug, 2005.
Joint source coding and packet classification for real-time video transmission over Differentiated Services networks [link]Paper  doi  abstract   bibtex   
Differentiated Services (DiffServ) is one of the leading architectures for providing quality of service in the Internet. We propose a scheme for real-time video transmission over a DiffServ network that jointly considers video source coding, packet classification, and error concealment within a framework of costdistortion optimization. The selections of encoding parameters and packet classification are both used to manage end-to-end delay variations and packet losses within the network. We present two dual formulations of the proposed scheme: the minimum distortion problem, in which the objective is to minimize the end-to-end distortion subject to cost and delay constraints, and the minimum cost problem, which minimizes the total cost subject to end-to-end distortion and delay constraints. A solution to these problems using Lagrangian relaxation and dynamic programming is given. Simulation results demonstrate the advantage of jointly adapting the source coding and packet classification in DiffServ networks. © 2005 IEEE.
@article{zhai2005joint,
abstract = {Differentiated Services (DiffServ) is one of the leading architectures for providing quality of service in the Internet. We propose a scheme for real-time video transmission over a DiffServ network that jointly considers video source coding, packet classification, and error concealment within a framework of costdistortion optimization. The selections of encoding parameters and packet classification are both used to manage end-to-end delay variations and packet losses within the network. We present two dual formulations of the proposed scheme: the minimum distortion problem, in which the objective is to minimize the end-to-end distortion subject to cost and delay constraints, and the minimum cost problem, which minimizes the total cost subject to end-to-end distortion and delay constraints. A solution to these problems using Lagrangian relaxation and dynamic programming is given. Simulation results demonstrate the advantage of jointly adapting the source coding and packet classification in DiffServ networks. {\textcopyright} 2005 IEEE.},
author = {Zhai, Fan and Luna, Carlos E. C.E. and Eisenberg, Yiftach and Pappas, T.N. Thrasyvoulos N. and Berry, Randall and Katsaggelos, Aggelos K. A.K. and {Fan Zhai} and Luna, Carlos E. C.E. and Eisenberg, Yiftach and Pappas, T.N. Thrasyvoulos N. and Berry, Randall and Katsaggelos, Aggelos K. A.K.},
chapter = {716},
doi = {10.1109/TMM.2005.850989},
isbn = {1520-9210},
issn = {15209210},
journal = {IEEE Transactions on Multimedia},
keywords = {Error concealment,Error resilience,Joint source-ch,Joint source-channel coding,Multimedia communication,Optimal resource allocation,QoS,Unequal error protection (UEP)},
month = {aug},
number = {4},
pages = {716--725},
publisher = {IEEE},
title = {{Joint source coding and packet classification for real-time video transmission over Differentiated Services networks}},
url = {http://ieeexplore.ieee.org/document/1468156/},
volume = {7},
year = {2005}
}

Downloads: 0