Visual Attention in Quality Assessment
| Document type: | Journal Articles |
|---|---|
| Article type: | Original article |
| Peer reviewed: | Yes |
| Author(s): | Ulrich Engelke, Hagen Kaprykowsky, Hans-Jürgen Zepernick, Patrik Ndjiki-Nya |
| Title: | Visual Attention in Quality Assessment |
| Journal: | IEEE Signal Processing Magazine |
| Year: | 2011 |
| Volume: | 28 |
| Issue: | 6 |
| Pagination: | 50-59 |
| ISSN: | 1053-5888 |
| Publisher: | IEEE |
| URI/DOI: | 10.1109/MSP.2011.942473 |
| ISI number: | 000296466100007 |
| Organization: | Blekinge Institute of Technology |
| Department: | School of Computing (Sektionen för datavetenskap och kommunikation) School of Computing S-371 79 Karlskrona +46 455 38 50 00 http://www.bth.se/com |
| Authors e-mail: | ulrich.engelke@philips.com, hagen.kaprykowsky@hhi.fraunhofer.de, hans-jurgen.zepernick@bth.se, patrick.ndjiki-nya@hhi.fraunhofer.de |
| Language: | English |
| Abstract: | Perceptual quality metrics are widely deployed in image and video processing systems. These metrics aim to emulate the integral mechanisms of the human visual system (HVS) to correlate well with visual perception of quality. One integral property of the HVS is, however, often neglected: visual attention (VA) [1]. The essential mechanisms associated with VA consist mainly of higher cognitive processing, deployed to reduce the complexity of scene analysis. For this purpose, a subset of the visual information is selected by shifting the focus of attention across the visual scene to the most relevant objects. By neglecting VA, perceptual quality models inherently assume that all objects draw the attention of the viewer to the same degree. |
| Subject: | Signal processing\Image and Video Processing Telecommunications\General |
| Keywords: | Computational modeling , Image processing , Measurement , Quality assessment , Visualization |
