Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11889/6124
Title: Scalable H.264 wireless video transmission over MIMO-OFDM channels
Authors: Bansal, Manu 
Jubran, Mohammad K. 
Kondi, Lisimachos P. 
Keywords: Scalable video coding;Digital video - Standards;Optical communications;Wireless communication systems;Computer networks - Scalability;Orthogonal frequency division multiplexing;MIMO systems
Issue Date: 1-Dec-2010
Publisher: Springer-Verlag
Journal: Lecture Notes in Computer Science 
Conference: Advanced Concepts for Intelligent Vision Systems ( 12th : 2010 : Sydney, Australia) 
Abstract: A cross-layer optimization scheme is proposed for scalable video transmission over wireless Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) systems. The scalable video coding (SVC) extension of H.264/AVC is used for video source coding. The proposed cross-layer optimization scheme jointly optimizes application layer parameters and physical layer parameters. The objective is to minimize the expected video distortion at the receiver. Two methods have been developed for the estimation of video distortion at the receiver, which is essential for the cross-layer optimization. In addition, two different priority mappings of the SVC scalable layers are considered. Experimental results are provided and conclusions are drawn
Description: A paper submitted to the International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2010, December 13-16, 2010, Sydney, Australia, and published in : ACIVS 2010, Part II, LNCS 6475, pp. 34–45, 2010.
URI: http://hdl.handle.net/20.500.11889/6124
ISBN: 3642176909
ISSN: 03029743
DOI: https://api.elsevier.com/content/abstract/scopus_id/78650915117
10.1007/978-3-642-17691-3_4
https://api.elsevier.com/content/abstract/scopus_id/78650915117
https://api.elsevier.com/content/abstract/scopus_id/78650915117
https://api.elsevier.com/content/abstract/scopus_id/78650915117
https://api.elsevier.com/content/abstract/scopus_id/78650915117
https://api.elsevier.com/content/abstract/scopus_id/78650915117
https://api.elsevier.com/content/abstract/scopus_id/78650915117
Appears in Collections:6. BZU Dataset Collection

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