Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11889/6125
Title: Accurate distortion estimation and optimal bandwidth allocation for scalable H.264 video transmission over MIMO systems
Authors: Jubran, Mohammad K. 
Bansal, Manu 
Kondi, Lisimachos P. 
Grover, Rohan 
Keywords: Distortion estimation;Image processing - Digital techniques;Motion estimation;Image registration;MIMO systems;Optical data processing;Video compression;Scalable H.264;Parallel programming (Computer science);Digital video - Standards;Wireless video;Wireless communication systems;Digital video;Distortion estimation, MIMO systems, optimal bandwidth allocation, Scalable H.264, wireless video.
Issue Date: 1-Jan-2009
Journal: IEEE Transactions on Image Processing 
Abstract: In this paper, we propose an optimal strategy for the transmission of scalable video over packet-based multiple-input multiple-output (MIMO) systems. The scalable extension of H.264/AVC that provides a combined temporal, quality and spatial scalability is used. For given channel conditions, we develop a method for the estimation of the distortion of the received video and propose different error concealment schemes. We show the accuracy of our distortion estimation algorithm in comparison with simulated wireless video transmission with packet errors. In the proposed MIMO system, we employ orthogonal space-time block codes (O-STBC) that guarantee independent transmission of different symbols within the block code. In the proposed constrained bandwidth allocation framework, we use the estimated end-to-end decoder distortion to optimally select the application layer parameters, i.e., quantization parameter (QP) and group of pictures (GOP) size, and physical layer parameters, i.e., rate-compatible turbo (RCPT) code rate and symbol constellation. Results show the substantial performance gain by using different symbol constellations across the scalable layers as compared to a fixed constellation.
URI: http://hdl.handle.net/20.500.11889/6125
ISSN: 10577149
DOI: 10.1109/TIP.2008.2006600
https://api.elsevier.com/content/abstract/scopus_id/58049191304
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