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 http://www.tek.bth.se/ |
| Authors e-mail: | uen@bth.se |
| 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. |
