Visual Attention Modelling for Subjective Image Quality Databases

Document type: Conference Papers
Peer reviewed: Yes
Full text:
Author(s): Ulrich Engelke, Anthony Maeder, Hans-Jürgen Zepernick
Title: Visual Attention Modelling for Subjective Image Quality Databases
Conference name: International Workshop on Multimedia Signal Processing
Year: 2009
Pagination: 25-30
ISBN: 978-1-4244-4463-2
Publisher: IEEE
City: Rio de Janeiro
URI/DOI: 10.1109/MMSP.2009.5293248
ISI number: 000274991300005
Organization: Blekinge Institute of Technology
Department: School of Engineering - Dept. of Signal Processing (Sektionen för teknik – avd. för signalbehandling)
School of Engineering S- 372 25 Ronneby
+46 455 38 50 00
Authors e-mail:
Language: English
Abstract: The modelling of perceptual image quality metrics has experienced increased effort in recent years. In order to allow for model design, validation, and comparison, a number of subjective image quality databases has been made available to the research community. Most metrics that were designed using these databases assess the quality uniformly over the whole image, not taking into account stronger attention to salient regions of an image. In order to facilitate incorporation of visual attention (VA) into objective metric design we have conducted an eye tracking experiment. The experiment and its outcomes will be explained in detail in this paper. The actual gaze data recorded in the experiment is publicly available in order to facilitate and encourage VA modelling for image quality metrics.
Subject: Human Work Science\Human Computer Interaction
Signal processing\Image and Video Processing
Keywords: Visual attention, eye tracking, subjective experiment.