Paper
2 February 2011 Investigating two features of aesthetic perception in consumer photographic images: clutter and center
Author Affiliations +
Proceedings Volume 7865, Human Vision and Electronic Imaging XVI; 786507 (2011) https://doi.org/10.1117/12.872170
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States
Abstract
A key aspect of image effectiveness is how well the image visually communicates the main subject. In consumer images, two important features that impact viewer appreciation of the main subject are the amount of clutter and the main subject placement within the image. Two subjective experiments were conducted to assess the relationship between aesthetic and technical quality and perception of clutter and image center. For each experiment, 30 participants evaluated the same 70 images, on 0 to 100-point scales for aesthetic and technical quality. For the clutter experiment, participants also evaluated the images, on 0 to 100-point scales for amount of clutter and main subject emphasis. For the center experiment, participants pointed directly onto the image to mark the center of interest. Results indicate that aesthetic quality, technical quality, amount of clutter, and main subject emphasis are strongly correlated. Based on 95% confidence ellipses and mean-shift clustering, expert main subject maps are consistent with observer identification of main subject location. Further, the distribution of the observer identification of the center of interest is related to the object class (e.g., person, scenery). Additional features related to image composition can be used to explain clusters formed by patterns of mean ratings.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Cathleen Daniels Cerosaletti, Alexander C. Loui, and Andrew C. Gallagher "Investigating two features of aesthetic perception in consumer photographic images: clutter and center", Proc. SPIE 7865, Human Vision and Electronic Imaging XVI, 786507 (2 February 2011); https://doi.org/10.1117/12.872170
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CITATIONS
Cited by 4 scholarly publications and 2 patents.
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KEYWORDS
Image quality

Photography

Data centers

Image segmentation

Diamond

Visualization

Image analysis

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