Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11889/6128
Title: Transmission of scalable H.264 coded video over wireless MIMO systems with optimal bandwidth allocation
Authors: Jubran, Mohammad K. 
Bansal, Manu 
Kondi, Lisimachos P. 
Keywords: Scalable H.264 codec;Multimedia communication;Distortion estimation;Image processing - Digital techniques;Image registration;Wireless communication systems;Digital video;Multimedia systems;MIMO systems;Optimal bandwidth allocation;Optical data processing;Video compression;Bandwidth allocation;Block codes;Channel coding;Streaming video;Space time codes;Video compression;Video communication
Issue Date: 6-Aug-2007
Publisher: IEEE
Journal: IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 
Conference: IEEE International Conference on Acoustics Speech and Signal Processing (2007 : Honolulu, HI, USA) 
Abstract: We propose an optimal strategy for the transmission of scalable video over multiple-input multiple-output (MIMO) wireless systems. In this paper, we use the latest scalable H.264 codec which provides combined temporal, quality and spatial scalability. At the transmitter, we have developed a method for the estimation of the video distortion at the receiver for given channel conditions. The accuracy of this method is validated using experimental results. In our proposed system, we use a MIMO system with orthogonal space-time block codes (O-STBC) that provides spatial diversity and guarantees independent transmission of different symbols within the block code. Rate-compatible punctured convolutional (RCPC) codes are used for unequal error protection of the scalable layers. In the constrained bandwidth allocation framework considered here, we use the estimated decoder distortion to optimally select the application layer parameter, i.e. quantization parameter (QP), and physical layer parameters, i.e. RCPC and modulation.
Description: Paper published in : IEEE International Conference on Acoustics, Speech and Signal Processing, 2007, Vol. , pp. 849-852
URI: http://hdl.handle.net/20.500.11889/6128
ISBN: 1424407281
ISSN: 15206149
DOI: https://api.elsevier.com/content/abstract/scopus_id/34547517577
10.1109/ICASSP.2007.366041
https://api.elsevier.com/content/abstract/scopus_id/34547517577
https://api.elsevier.com/content/abstract/scopus_id/34547517577
https://api.elsevier.com/content/abstract/scopus_id/34547517577
https://api.elsevier.com/content/abstract/scopus_id/34547517577
https://api.elsevier.com/content/abstract/scopus_id/34547517577
https://api.elsevier.com/content/abstract/scopus_id/34547517577
https://api.elsevier.com/content/abstract/scopus_id/34547517577
Appears in Collections:6. BZU Dataset Collection

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