Does where you Gaze on an Image Affect your Perception of Quality? Applying Visual Attention to Image Quality Metric - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2007

Does where you Gaze on an Image Affect your Perception of Quality? Applying Visual Attention to Image Quality Metric

Résumé

The aim of an objective image quality assessment is to find an automatic algorithm that evaluates the quality of pictures or video as a human observer would do. To reach this goal, researchers try to simulate the Human Visual System (HVS). Visual attention is a main feature of the HVS, but few studies have been done on using it in image quality assessment. In this work, we investigate the use of the visual attention information in their final pooling step. The rationale of this choice is that an artefact is likely more annoying in a salient region than in other areas. To shed light on this point, a quality assessment campaign has been conducted during which eye movements have been recorded. The results show that applying the visual attention to image quality assessment is not trivial, even with the ground truth.
Fichier principal
Vignette du fichier
ICIP2007.pdf (278.25 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00342599 , version 1 (27-11-2008)

Identifiants

  • HAL Id : hal-00342599 , version 1

Citer

Alexandre Ninassi, Olivier Le Meur, Patrick Le Callet, Dominique Barba. Does where you Gaze on an Image Affect your Perception of Quality? Applying Visual Attention to Image Quality Metric. IEEE International Conference on Image Processing, Sep 2007, San Antonio, United States. pp.169-172. ⟨hal-00342599⟩
137 Consultations
599 Téléchargements

Partager

Gmail Facebook X LinkedIn More