Stammdaten

Titel: Eye Movement-Based Analysis on Methodologies and Efficiency in the Process of Image Noise Evaluation
Untertitel:
Kurzfassung:

Noise level (image quality) evaluation is an important and popular topic in many applications. However, the knowledge of how people visually explore distorted images for making decision on noise evaluation is rather limited. In this paper, we conducted psychophysical eye-tracking studies to deeply understand the process of image noise evaluation. We identified two different types of methodologies in the evaluation processing, speed-driven and accuracy-driven respectively, in terms of both evaluation time and decision error. The speed-driven methodology, compared with the accuracy-driven one, uses less time to give evaluation results, with shorter fixation duration and stronger central bias. Furthermore, based on the utilization of temporal-spatial entropy analysis on eye movement data, a quantitative measure is obtained to show significant correlation with the decision-making efficiency of evaluation processing, which is characterized by evaluation time and decision error. As a result, the new measure may be used as a proxy definition for this decision-making efficiency.

Schlagworte: Noise level evaluation, Temporal-spatial entropy analysis, Reduced Redundant Information, Decision-making efficiency
Publikationstyp: Beitrag in Proceedings (Autorenschaft)
Art der Veröffentlichung Online Publikation
Erschienen in: Proceedings of the 28th International Conference on Artificial Neural Networks
Proceedings of the 28th International Conference on Artificial Neural Networks
zur Publikation
 ( Springer; )
Erscheinungsdatum: 09.2019
Titel der Serie: -
Bandnummer: -
Erstveröffentlichung: Ja
Version: -
Seite: S. 29 - 40

Identifikatoren

Zuordnung

Organisation Adresse
Fakultät für Technische Wissenschaften
 
Institut für Informationstechnologie
Universitaetsstr. 65-67
9020  Klagenfurt am Wörthersee
Österreich
  -3699
   martina.steinbacher@uni-klu.ac.at
http://itec.aau.at/
zur Organisation
Universitaetsstr. 65-67
AT - 9020  Klagenfurt am Wörthersee

Kategorisierung

Sachgebiete
  • 1020 - Informatik
Forschungscluster Kein Forschungscluster ausgewählt
Peer Reviewed
  • Ja
Publikationsfokus
  • Science to Science (Qualitätsindikator: II)
Klassifikationsraster der zugeordneten Organisationseinheiten:
Arbeitsgruppen
  • Distributed Multimedia Systems

Kooperationen

Organisation Adresse
Tianjin University
Tianjin
China
CN  Tianjin
University of Girona
Spanien
ES  

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