Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11889/4535
Title: Low-delay low-complexity bandwidth-constrained wireless video transmission using SVC over MIMO systems
Authors: Jubran, Mohammad
Bansal, Manu
Kondi, Lisimachos P.
Keywords: Interferometry;Optical data processing;Videotex systems;Video compression - Standards;MIMO systems
Issue Date: 2009
Abstract: We propose an efficient 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 (SVC), which provides combined temporal, quality and spatial scalability. At the transmitter, we estimate the decoded video distortion for given channel conditions taking into account the effects of quantization, packet loss and error concealment. The proposed scalable decoder distortion algorithm offers low delay and low complexity. The performance 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. The bandwidth constrained allocation problem considered here is simplified and solved for one O-STBC symbol at a time. Furthermore, we take the advantage of the hierarchical structure of SVC to attain the optimal solution for each group of pictures (GOP) of the video sequence. We incorporate the estimated decoder distortion to optimally select the application layer parameter, i.e., quantization parameter (QP), and physical layer parameters, i.e., channel coding rate and modulation type for wireless video transmission
URI: http://hdl.handle.net/20.500.11889/4535
Appears in Collections:Fulltext Publications

Files in This Item:
File Description SizeFormat
TMM_08.pdf1.18 MBAdobe PDFView/Open
Show full item record

Page view(s)

182
Last Week
0
Last month
2
checked on Apr 14, 2024

Download(s)

54
checked on Apr 14, 2024

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.