Performance assessment of the adaptive ...
Type de document :
Communication dans un congrès avec actes
Titre :
Performance assessment of the adaptive GoP-size extension of the wireless softCast video scheme
Auteur(s) :
Trioux, Anthony [Auteur]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [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]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [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]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Titre de la manifestation scientifique :
10th International Symposium on Signal, Image, Video and Communications, ISIVC 2020, postponed event
Ville :
Saint-Etienne
Pays :
France
Date de début de la manifestation scientifique :
2021-04-07
Éditeur :
IEEE
Mot(s)-clé(s) en anglais :
Ghost effect
Cuts
Adaptive GoP-size
SoftCast
Temporal information index
Cuts
Adaptive GoP-size
SoftCast
Temporal information index
Discipline(s) HAL :
Sciences de l'ingénieur [physics]
Résumé en anglais : [en]
The SoftCast video transmission scheme has been proposed as a promising alternative to traditional video broadcasting systems in wireless error-prone environments. However, in its original form, the scheme may introduce ...
Lire la suite >The SoftCast video transmission scheme has been proposed as a promising alternative to traditional video broadcasting systems in wireless error-prone environments. However, in its original form, the scheme may introduce annoying artifacts such as temporal quality variations or the so-called ghost effect. To eliminate this artifact as well as improving the received quality, we recently proposed an updated version of SoftCast: Adaptive GoP-size mechanism based on Content and Cut detection for SoftCast (AGCC-SoftCast) [1]. In this paper, we provide additional results and verify the validity of the algorithm considering different video content and resolution. We also analyze the behaviors of the scheme considering different type of cuts: 1) Abrupt cuts i.e., a cut that appear between two different scenes, 2) Soft cuts that may appear in a same scene and 3) Intraframe cuts that represents a shot change inside a limited portion of the frame. The performance of AGCC-SoftCast are compared to the original SoftCast scheme under different Channel Signal-to-Noise Ratios (CSNR) and Compression Ratios (CR). Traditional objective metrics are considered such as: the Peak Signal-to-Noise Ratio (PSNR), the Structural SIMilarity (SSIM) and the Multi-Scale SSIM (MS-SSIM). In addition, the recent Video Multi-method Assessment Fusion (VMAF) metric proposed by Netflix is also used. Regardless of the CSNR and CR values, results clearly highlight the importance of the AGCC algorithm in a SoftCast wireless video transmission scheme. Depending on the transmitted video content, results show that improvements up to 11.6dB in terms of PSNR and 67.45 in terms of VMAF can be obtained, especially at the cut boundaries.Lire moins >
Lire la suite >The SoftCast video transmission scheme has been proposed as a promising alternative to traditional video broadcasting systems in wireless error-prone environments. However, in its original form, the scheme may introduce annoying artifacts such as temporal quality variations or the so-called ghost effect. To eliminate this artifact as well as improving the received quality, we recently proposed an updated version of SoftCast: Adaptive GoP-size mechanism based on Content and Cut detection for SoftCast (AGCC-SoftCast) [1]. In this paper, we provide additional results and verify the validity of the algorithm considering different video content and resolution. We also analyze the behaviors of the scheme considering different type of cuts: 1) Abrupt cuts i.e., a cut that appear between two different scenes, 2) Soft cuts that may appear in a same scene and 3) Intraframe cuts that represents a shot change inside a limited portion of the frame. The performance of AGCC-SoftCast are compared to the original SoftCast scheme under different Channel Signal-to-Noise Ratios (CSNR) and Compression Ratios (CR). Traditional objective metrics are considered such as: the Peak Signal-to-Noise Ratio (PSNR), the Structural SIMilarity (SSIM) and the Multi-Scale SSIM (MS-SSIM). In addition, the recent Video Multi-method Assessment Fusion (VMAF) metric proposed by Netflix is also used. Regardless of the CSNR and CR values, results clearly highlight the importance of the AGCC algorithm in a SoftCast wireless video transmission scheme. Depending on the transmitted video content, results show that improvements up to 11.6dB in terms of PSNR and 67.45 in terms of VMAF can be obtained, especially at the cut boundaries.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Projet ANR :
Commentaire :
Due to the current events related to Covid-19, the conference originally planned for July 2020 has been postponed to April 7-9, 2021. The conference will be organized virtually by videoconference. ORAL
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