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  • Engelke, Ulrich, et al. (author)
  • Visual Attention in Quality Assessment
  • 2011
  • In: IEEE signal processing magazine (Print). - : IEEE. - 1053-5888 .- 1558-0792. ; 28:6, s. 50-59
  • Journal article (peer-reviewed)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.
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  • Result 1-1 of 1
Type of publication
journal article (1)
Type of content
peer-reviewed (1)
Author/Editor
Engelke, Ulrich (1)
Zepernick, Hans-Jürg ... (1)
Kaprykowsky, Hagen (1)
Ndjiki-Nya, Patrik (1)
University
Blekinge Institute of Technology (1)
Language
English (1)
Research subject (UKÄ/SCB)
Engineering and Technology (1)
Year
2011 (1)

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