A comparative preprocessing study for ...
Document type :
Communication dans un congrès avec actes
Title :
A comparative preprocessing study for softcast video transmission
Author(s) :
Trioux, Anthony [Auteur]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
Coudoux, François-Xavier [Auteur]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Corlay, Patrick [Auteur]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Gharbi, Mohamed [Auteur]
INSA Institut National des Sciences Appliquées Hauts-de-France [INSA Hauts-De-France]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
Coudoux, François-Xavier [Auteur]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Corlay, Patrick [Auteur]

COMmunications NUMériques - IEMN [COMNUM - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Gharbi, Mohamed [Auteur]

INSA Institut National des Sciences Appliquées Hauts-de-France [INSA Hauts-De-France]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Conference title :
2018 9th International Symposium on Signal, Image, Video and Communications (ISIVC)
City :
Rabat
Country :
Maroc
Start date of the conference :
2018-11-27
Journal title :
Proceedings of 9th International Symposium on Signal, Image, Video and Communications, ISIVC 2018
Publisher :
IEEE
Publication date :
2018
English keyword(s) :
Bandwidth
Metadata
Wireless communication
Receivers
Video recording
Quality assessment
Discrete cosine transforms
Metadata
Wireless communication
Receivers
Video recording
Quality assessment
Discrete cosine transforms
HAL domain(s) :
Sciences de l'ingénieur [physics]
Informatique [cs]
Informatique [cs]/Intelligence artificielle [cs.AI]
Informatique [cs]/Réseaux et télécommunications [cs.NI]
Sciences de l'ingénieur [physics]/Traitement du signal et de l'image [eess.SP]
Sciences de l'ingénieur [physics]/Electronique
Informatique [cs]
Informatique [cs]/Intelligence artificielle [cs.AI]
Informatique [cs]/Réseaux et télécommunications [cs.NI]
Sciences de l'ingénieur [physics]/Traitement du signal et de l'image [eess.SP]
Sciences de l'ingénieur [physics]/Electronique
English abstract : [en]
An original wireless video transmission scheme called SoftCast has been recently proposed to deal with the issues encountered in conventional wireless video broadcasting systems such as cliff effect. In this paper, we first ...
Show more >An original wireless video transmission scheme called SoftCast has been recently proposed to deal with the issues encountered in conventional wireless video broadcasting systems such as cliff effect. In this paper, we first review the SoftCast scheme. We then analyze and compare two simple preprocessing methods that help to increase the quality at the receiver side. Each method consists of the subtraction of either the 8-bit mean gray level 128 or the mean value of all pixels for each video frame. Preprocessing methods are compared and evaluated under different channel signal-to-noise ratios using two metrics: Peak Signal-to-Noise Ratio (PSNR) and Structural SIMilarity (SSIM). Simulation results clearly highlight the importance of the preprocessing block in a SoftCast wireless video transmission scheme. Depending on the video input characteristics, an improvement of the PSNR score up to 2.1dB and 2.5dB can be observed for the average gray level method and for the mean frame method, respectively.Show less >
Show more >An original wireless video transmission scheme called SoftCast has been recently proposed to deal with the issues encountered in conventional wireless video broadcasting systems such as cliff effect. In this paper, we first review the SoftCast scheme. We then analyze and compare two simple preprocessing methods that help to increase the quality at the receiver side. Each method consists of the subtraction of either the 8-bit mean gray level 128 or the mean value of all pixels for each video frame. Preprocessing methods are compared and evaluated under different channel signal-to-noise ratios using two metrics: Peak Signal-to-Noise Ratio (PSNR) and Structural SIMilarity (SSIM). Simulation results clearly highlight the importance of the preprocessing block in a SoftCast wireless video transmission scheme. Depending on the video input characteristics, an improvement of the PSNR score up to 2.1dB and 2.5dB can be observed for the average gray level method and for the mean frame method, respectively.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Comment :
ISBN 978-1-5386-8174-9 ; e-ISBN 978-1-5386-8173-2
Source :
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