&lt;title&gt;Evaluation of image appeal in consumer photography&lt;/title&gt;

Savakis, Andreas; Etz, S.P.; Loui, Alexander C.

doi:10.1117/12.387147

Cited by 81 publications

(78 citation statements)

References 7 publications

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“…The preferred mean luminance levels are found for images that contain human faces [DZB05]. Image preferences with respect to colorfulness, contrast and brightness are studied in digital photography [SEL00].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Reproducing Real‐World Appearance on Displays of Varying Dynamic Range

Yoshida

Mantiuk

Myszkowski

et al. 2006

Computer Graphics Forum

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Section: Introductionmentioning

confidence: 99%

Analysis of Reproducing Real‐World Appearance on Displays of Varying Dynamic Range

Yoshida

Mantiuk

Myszkowski

et al. 2006

Computer Graphics Forum

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“…A recent review [28] included a discussion of the potential future importance of aesthetic image quality assessment, highlighting that in existing attempts to assemble rated image databases, the female nude was found to attract high aesthetic quality ratings [52]. Following from the work of the present study, it is also likely that such images will confound pure image quality assessment ratings, leading to excessively liberal responses.…”

Section: Discussionmentioning

confidence: 95%

Influence of affective image content on subjective quality assessment

Linde

Doe

2012

J. Opt. Soc. Am. A

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Image quality assessment (IQA) enables distortions introduced into an image (e.g., through lossy compression or broadcast) to be measured and evaluated for severity. It is unclear to what degree affective image content may influence this process. In this study, participants (n 25) were found to be unable to disentangle affective image content from objective image quality in a standard IQA procedure (single stimulus numerical categorical scale). We propose that this issue is worthy of consideration, particularly in single stimulus IQA techniques, in which a small number of handpicked images, not necessarily representative of the gamut of affect seen in true broadcasting, and unrated for affective content, serve as stimuli.

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“…Savakis et al [5] determined experimentally that the most important attribute to deciding which pic-tures deserve emphasis in a photo album is composition. Specifically, their study found that composition is more important by at least a factor of 3 than colorfulness or sharpness, two traditional measures of image quality.…”

Section: Related Workmentioning

confidence: 99%

Rating Image Aesthetics Using a Crowd Sourcing Approach

Agrawal

Premachandran

Kakarala

2014

Image and Video Technology – PSIVT 2013 Workshops

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Abstract. Any system that is able to reliably measure the aesthetic appeal of photographs would be of considerable importance to the digital imaging industry. Researchers have built automated rating systems using machine learning techniques applied to features extracted from images. In this paper, we study the effectiveness of ACQUINE, a comprehensive and publicly available rating system, using data obtained from voters in a crowd sourced manner. We analyze the effect of voting using a simple binary like/dislike rating in comparison to a numerical 10 point scale. We also show that global measures of image quality, such as contrast or colorfulness, do not correlate well with human ratings. The role of composition in determining human rating of aesthetics is discussed.

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<title>Evaluation of image appeal in consumer photography</title>

Cited by 81 publications

References 7 publications

Analysis of Reproducing Real‐World Appearance on Displays of Varying Dynamic Range

Analysis of Reproducing Real‐World Appearance on Displays of Varying Dynamic Range

Influence of affective image content on subjective quality assessment

Rating Image Aesthetics Using a Crowd Sourcing Approach

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