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- Engelke, Ulrich (author)
Visual Attention in Quality Assessment
- Article/chapterEnglish2011
Publisher, publication year, extent ...
- IEEE,2011
- printrdacarrier
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- LIBRIS-ID:oai:DiVA.org:bth-7438
- https://urn.kb.se/resolve?urn=urn:nbn:se:bth-7438URI
- https://doi.org/10.1109/MSP.2011.942473DOI
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- Language:English
- Summary in:English
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Notes
- 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 headings and genre
- TEKNIK OCH TEKNOLOGIER Elektroteknik och elektronik Telekommunikation hsv//swe
- ENGINEERING AND TECHNOLOGY Electrical Engineering, Electronic Engineering, Information Engineering Telecommunications hsv//eng
- TEKNIK OCH TEKNOLOGIER Elektroteknik och elektronik Signalbehandling hsv//swe
- ENGINEERING AND TECHNOLOGY Electrical Engineering, Electronic Engineering, Information Engineering Signal Processing hsv//eng
- Computational modeling
- Image processing
- Measurement
- Quality assessment
- Visualization
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- Kaprykowsky, Hagen (author)
- Zepernick, Hans-Jürgen (author)
- Ndjiki-Nya, Patrik (author)
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- In:IEEE signal processing magazine (Print): IEEE28:6, s. 50-591053-58881558-0792
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