Estimating Metric Thresholds for Acceptability and Annoyance of User Generated Video Content - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2024

Estimating Metric Thresholds for Acceptability and Annoyance of User Generated Video Content

Résumé

User expectation is one of the main factors that drives the user satisfaction for video streaming service providers and online social media platforms. Depending on the context, users may have different expectations of the video quality. Measuring the Quality of Experience (QoE) by taking user expectations into account provide online social media platforms with increased efficiency and users with higher satisfaction. In this work, we explore the relation between video quality and acceptability&annoyance of video quality in online social media platforms context. Moreover we present the methodology to determine the metric thresholds for acceptability&annoyance of video quality. We compare the estimated thresholds with previous studies.
Fichier principal
Vignette du fichier
EI_HVEI_2024_Final_Submission.pdf (992.66 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04472307 , version 1 (22-02-2024)

Identifiants

  • HAL Id : hal-04472307 , version 1

Citer

Ali Ak, Abhishek Gera, Denise Noyes, Francois Blouin, Hassene Tmar, et al.. Estimating Metric Thresholds for Acceptability and Annoyance of User Generated Video Content. Human Vision and Electronic Imaging 2024, Jan 2024, San Francisco, United States. ⟨hal-04472307⟩
17 Consultations
24 Téléchargements

Partager

Gmail Facebook X LinkedIn More