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Visual Attention Modeling: Region-of-Interest Versus Fixation Patterns
Responsible organisation
2009 (English)Conference paper, (Refereed) Published
Abstract [en]

Visual attention (VA) is an integral property of the human visual system. The deployment of a VA model can be beneficial for many image and video applications, such as, compression, transmission, and quality assessment. However, the design of a VA model is highly dependent on the subjective VA data used as ground truth and the application that the model is intended for. In this paper, we discuss two ways of obtaining subjective VA data that can subsequently be used to develop VA models; selective regions-of-interest and visual fixation patterns. The feasibility of both methods will be discussed, in particular, with respect to visual quality assessment.

Place, publisher, year, edition, pages
Chicago: IEEE , 2009.
Keyword [en]
Visual attention, region-of-interest, visual fixation pattern, image quality
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:bth-8099ISI: 000273295700131Local ID: oai:bth.se:forskinfoB57BF9608AE43714C12575B500033467ISBN: 978-1-4244-4593-6 (print)OAI: oai:DiVA.org:bth-8099DiVA: diva2:835786
Conference
27th Picture Coding Symposium
Available from: 2012-09-18 Created: 2009-05-13 Last updated: 2015-06-30Bibliographically approved

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fulltext(581 kB)58 downloads
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Zepernick, Hans-Jürgen
Telecommunications

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf