Temporal information based GoP adaptation for linear video delivery schemes - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Signal Processing: Image Communication Année : 2020

Temporal information based GoP adaptation for linear video delivery schemes

Résumé

An original wireless video transmission scheme called SoftCast has been recently proposed to deal with the issues encountered in conventional wireless video broadcasting systems (e.g. cliff effect). In this paper, we evaluate and optimize the performance of the SoftCast scheme according to the transmitted video content. Precisely, an adaptive coding mechanism based on GoP-size adaptation, which takes into account the temporal information fluctuations of the video, is proposed. This extension denoted Adaptive GoP-size mechanism based on Content and Cut detection for SoftCast (AGCC-SoftCast) significantly improves the performance of the SoftCast scheme. It consists in modifying the GoP-size according to the shot changes and the spatio-temporal characteristics of the transmitted video. When hardware capacities, such as buffer or processor performance are limited, an alternative method based only on the shot changes detection (AGCut-SoftCast) is also proposed. Improvements up to 16 dB for the PSNR and up to 0.55 for the SSIM are observed with the proposed solutions at the cut boundaries. In addition, temporal visual quality fluctuations are reduced under 1dB in average, showing the effectiveness of the proposed methods.
Fichier principal
Vignette du fichier
S0923596519302577.pdf (4.14 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03321530 , version 1 (21-07-2022)

Licence

Paternité - Pas d'utilisation commerciale

Identifiants

Citer

Anthony Trioux, François-Xavier Coudoux, Patrick Corlay, M Gharbi. Temporal information based GoP adaptation for linear video delivery schemes. Signal Processing: Image Communication, 2020, 82, 115734, 14 p. ⟨10.1016/j.image.2019.115734⟩. ⟨hal-03321530⟩
51 Consultations
37 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More