Visual attention modelling for subjective image quality databases

Ulrich Engelke; Anthony Maeder; Hans-Jürgen Zepernick

doi:10.1109/MMSP.2009.5293248

Visual attention modelling for subjective image quality databases

Ulrich Engelke, Anthony Maeder, Hans-Jürgen Zepernick

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

35 Citations (Scopus)

Abstract

![CDATA[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.]]

Original language	English
Title of host publication	Proceedings of the 2009 IEEE International Workshop on Multimedia Signal Processing (MMSP 2009), October 5-7, 2009, Rio de Janeiro, Brazil
Publisher	IEEE
Pages	25-30
Number of pages	6
ISBN (Print)	9781424444632
DOIs	https://doi.org/10.1109/MMSP.2009.5293248
Publication status	Published - 2009
Event	IEEE International Workshop on Multimedia Signal Processing - Duration: 5 Oct 2009 → …

Conference

Conference	IEEE International Workshop on Multimedia Signal Processing
Period	5/10/09 → …

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10.1109/MMSP.2009.5293248

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@inproceedings{b713b52ab6cf4c199cbeb372efdcf6fb,

title = "Visual attention modelling for subjective image quality databases",

abstract = "![CDATA[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.]]",

author = "Ulrich Engelke and Anthony Maeder and Hans-J{\"u}rgen Zepernick",

year = "2009",

doi = "10.1109/MMSP.2009.5293248",

language = "English",

isbn = "9781424444632",

pages = "25--30",

booktitle = "Proceedings of the 2009 IEEE International Workshop on Multimedia Signal Processing (MMSP 2009), October 5-7, 2009, Rio de Janeiro, Brazil",

publisher = "IEEE",

note = "IEEE International Workshop on Multimedia Signal Processing ; Conference date: 05-10-2009",

}

Engelke, U, Maeder, A & Zepernick, H-J 2009, Visual attention modelling for subjective image quality databases. in Proceedings of the 2009 IEEE International Workshop on Multimedia Signal Processing (MMSP 2009), October 5-7, 2009, Rio de Janeiro, Brazil. IEEE, pp. 25-30, IEEE International Workshop on Multimedia Signal Processing, 5/10/09. https://doi.org/10.1109/MMSP.2009.5293248

Visual attention modelling for subjective image quality databases. / Engelke, Ulrich; Maeder, Anthony; Zepernick, Hans-Jürgen.
Proceedings of the 2009 IEEE International Workshop on Multimedia Signal Processing (MMSP 2009), October 5-7, 2009, Rio de Janeiro, Brazil. IEEE, 2009. p. 25-30.

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

TY - GEN

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PY - 2009

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N2 - ![CDATA[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.]]

AB - ![CDATA[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.]]

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DO - 10.1109/MMSP.2009.5293248

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Visual attention modelling for subjective image quality databases

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