A Compressive Sensing Based Mobile Video Communication System

A compressive sensing (CS) based mobile video communication system is proposed to meet the requirement that video service needs low-complexity video encoder in the mobile internet. In this system, the mobile client uses CS based video encoder having low computational complexity and power, and then i...

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Main Authors: WU Minghu, LI Ran, ZHOU Shangli
Format: Article
Language:English
Published: IFSA Publishing, S.L. 2013-06-01
Series:Sensors & Transducers
Subjects:
Online Access:http://www.sensorsportal.com/HTML/DIGEST/june_2013/P_1238.pdf
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spelling doaj-9688af244d964de58cf955a2c525ec382020-11-25T02:26:31ZengIFSA Publishing, S.L.Sensors & Transducers2306-85151726-54792013-06-011536186191 A Compressive Sensing Based Mobile Video Communication SystemWU Minghu0LI Ran1ZHOU Shangli2School of Electrical and Electronic Engineering, Hubei University of Technology, Wu'han, 430068, ChinaJiangsu Province Key Lab on Image Processing & Image Communication, Nanjing University of Posts and Telecommunications, Nanjing, 210003, ChinaSchool of Electrical and Electronic Engineering, Hubei University of Technology, Wu'han, 430068, ChinaA compressive sensing (CS) based mobile video communication system is proposed to meet the requirement that video service needs low-complexity video encoder in the mobile internet. In this system, the mobile client uses CS based video encoder having low computational complexity and power, and then its output bit-stream is decoded using CS recovery algorithm in the fixed base station or network server. The decoded video signal is transformed again as bits by the traditional H.264/MPEG video encoder, and the central base station transmits them to mobile clients so as to realizing low-complexity video decoding. The simulation experiments show that the proposed CS based mobile video communication system has the better rate-distortion performance, and can ensure high quality video reconstruction at low measurement rates. http://www.sensorsportal.com/HTML/DIGEST/june_2013/P_1238.pdfMobile video communication systemCompressive sensingDistributed video codingCS based video reconstruction.
collection DOAJ
language English
format Article
sources DOAJ
author WU Minghu
LI Ran
ZHOU Shangli
spellingShingle WU Minghu
LI Ran
ZHOU Shangli
A Compressive Sensing Based Mobile Video Communication System
Sensors & Transducers
Mobile video communication system
Compressive sensing
Distributed video coding
CS based video reconstruction.
author_facet WU Minghu
LI Ran
ZHOU Shangli
author_sort WU Minghu
title A Compressive Sensing Based Mobile Video Communication System
title_short A Compressive Sensing Based Mobile Video Communication System
title_full A Compressive Sensing Based Mobile Video Communication System
title_fullStr A Compressive Sensing Based Mobile Video Communication System
title_full_unstemmed A Compressive Sensing Based Mobile Video Communication System
title_sort compressive sensing based mobile video communication system
publisher IFSA Publishing, S.L.
series Sensors & Transducers
issn 2306-8515
1726-5479
publishDate 2013-06-01
description A compressive sensing (CS) based mobile video communication system is proposed to meet the requirement that video service needs low-complexity video encoder in the mobile internet. In this system, the mobile client uses CS based video encoder having low computational complexity and power, and then its output bit-stream is decoded using CS recovery algorithm in the fixed base station or network server. The decoded video signal is transformed again as bits by the traditional H.264/MPEG video encoder, and the central base station transmits them to mobile clients so as to realizing low-complexity video decoding. The simulation experiments show that the proposed CS based mobile video communication system has the better rate-distortion performance, and can ensure high quality video reconstruction at low measurement rates.
topic Mobile video communication system
Compressive sensing
Distributed video coding
CS based video reconstruction.
url http://www.sensorsportal.com/HTML/DIGEST/june_2013/P_1238.pdf
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