Schémas hybrides pour la transmission vidéo ...
Type de document :
Autre communication scientifique (congrès sans actes - poster - séminaire...)
Titre :
Schémas hybrides pour la transmission vidéo avec très faible latence
Auteur(s) :
Kanj, Hind [Auteur]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Trioux, Anthony [Auteur]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
Coudoux, François-Xavier [Auteur]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
Gharbi, Mohamed [Auteur]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
Corlay, Patrick [Auteur]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
Cagnazzo, Marco [Auteur]
Kieffer, Michel [Auteur]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Trioux, Anthony [Auteur]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
Coudoux, François-Xavier [Auteur]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
Gharbi, Mohamed [Auteur]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
Corlay, Patrick [Auteur]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
Cagnazzo, Marco [Auteur]
Kieffer, Michel [Auteur]
Titre de la manifestation scientifique :
Mardi des chercheurs 2023
Ville :
Valenciennes (Nord)
Pays :
France
Date de début de la manifestation scientifique :
2023-06-13
Date de publication :
2023-06-13
Discipline(s) HAL :
Informatique [cs]/Traitement du signal et de l'image [eess.SP]
Résumé en anglais : [en]
Applications such as teleoperated driving, remote robot control and telepresence rely on video services to guarantee real-time interaction with a satisfactory quality of experience. Reducing the glass-to-glass delay (G2G), ...
Lire la suite >Applications such as teleoperated driving, remote robot control and telepresence rely on video services to guarantee real-time interaction with a satisfactory quality of experience. Reducing the glass-to-glass delay (G2G), i.e. the time elapsing between the acquisition of a video image and its display on a remote terminal, is essential for these applications. Deep learning-based video image extrapolation has recently been seen as an interesting solution for reducing G2G delay, but reducing latency leads to a loss of quality. The aim of this work is to examine the effectiveness of extrapolation by studying the trade-off between latency and quality.Lire moins >
Lire la suite >Applications such as teleoperated driving, remote robot control and telepresence rely on video services to guarantee real-time interaction with a satisfactory quality of experience. Reducing the glass-to-glass delay (G2G), i.e. the time elapsing between the acquisition of a video image and its display on a remote terminal, is essential for these applications. Deep learning-based video image extrapolation has recently been seen as an interesting solution for reducing G2G delay, but reducing latency leads to a loss of quality. The aim of this work is to examine the effectiveness of extrapolation by studying the trade-off between latency and quality.Lire moins >
Langue :
Français
Comité de lecture :
Oui
Audience :
Nationale
Vulgarisation :
Non
Projet ANR :
Source :
Fichiers
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- poster2023.pdf
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