SUBJECTIVE QUALITY ASSESSMENT OF MPEG-4 SCALABLE VIDEO CODING IN A MOBILE SCENARIO - Archive ouverte HAL
Communication Dans Un Congrès Année : 2010

SUBJECTIVE QUALITY ASSESSMENT OF MPEG-4 SCALABLE VIDEO CODING IN A MOBILE SCENARIO

Résumé

Scalable Video Coding provides several levels of video encapsulated in a single video stream. In a transmission scenario such as broadcasting, this structure is quite advantageous as it can be used to address heterogeneous decoding targets with variable needs and requirements. However, this adaptability comes at a slight cost in coding efficiency when compared to single-layer coding. Based on subjective experiments, this cost is evaluated in this paper by comparing the new MPEG-4 Scalable Video Coding (SVC) standard with the now-established MPEG-4 AVC standard. Two scenarios are analyzed in the context of mobile transmission applications. The first scenario uses the same bitrate for SVC and AVC, leading to a slightly lower PSNR for SVC. The second scenario uses the same PSNR for SVC and AVC, leading to a slightly lower bitrate for AVC. The results of the subjective tests illustrate several interesting aspects of the relation between the performance of the two standards. First, we observe that the offset between AVC and SVC is not severe, though statistically significant in terms of user Mean Opinion Score (MOS) in such a context. Second, while adding another layer to SVC always leads to a performance loss, the impact of this loss decreases when the number of layers increases.
Fichier principal
Vignette du fichier
subjective_quality_of_svc_in_mobile_context_euvip2010.pdf (159.96 Ko) Télécharger le fichier
IRCCYN.pdf (412.25 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Format Autre

Dates et versions

hal-00608333 , version 1 (12-07-2011)

Identifiants

  • HAL Id : hal-00608333 , version 1

Citer

Yohann Pitrey, Marcus Barkowsky, Patrick Le Callet, Romuald Pépion. SUBJECTIVE QUALITY ASSESSMENT OF MPEG-4 SCALABLE VIDEO CODING IN A MOBILE SCENARIO. Second European Workshop on Visual Information Processing, Jul 2010, Paris, France. paper 72. ⟨hal-00608333⟩
156 Consultations
223 Téléchargements

Partager

More