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Proceedings Paper

Representative image thumbnails: automatic and manual
Author(s): Ramin Samadani; Tim Mauer; David Berfanger; Jim Clark; Brett Bausk
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Paper Abstract

Image thumbnails are used in most imaging products and applications, where they allow quick preview of the content of the underlying high resolution images. The question: "How would you best represent a high resolution original image given a fixed number of thumbnail pixels?" is addressed using both automatically and manually generated thumbnails. Automatically generated thumbnails that preserve the image quality of the high resolution originals are first reviewed and subjectively evaluated. These thumbnails allow interactive identification of image quality, while simultaneously allowing the viewer's knowledge to select desired subject matter. Images containing textures are, however, difficult for the automatic algorithm. Textured images are further studied by using photo editing to manually generate representative thumbnails. The automatic thumbnails are subjectively compared to standard (filter and subsample) thumbnails using clean, blurry, noisy, and textured images. Results using twenty subjects find the automatic thumbnails more representative of their originals for blurry images. In addition, as desired, there is little difference between the automatic and standard thumbnails for clean images. The noise component improves the results for noisy images, but degrades the results for textured images. Further studying textured images, the manual thumbnails were subjectively compared to standard thumbnails for four images. Evaluation using forty judgments found a bimodal distribution for preference between the standard and the manual thumbnails, with some observers preferring manual thumbnails and others preferring standard thumbnails.

Paper Details

Date Published: 19 February 2008
PDF: 12 pages
Proc. SPIE 6806, Human Vision and Electronic Imaging XIII, 68061D (19 February 2008); doi: 10.1117/12.765264
Show Author Affiliations
Ramin Samadani, HP Labs. (United States)
Tim Mauer, HP Rainbow Image Science (United States)
David Berfanger, HP Rainbow Image Science (United States)
Jim Clark, HP Rainbow Image Science (United States)
Brett Bausk, HP.com (United States)


Published in SPIE Proceedings Vol. 6806:
Human Vision and Electronic Imaging XIII
Bernice E. Rogowitz; Thrasyvoulos N. Pappas, Editor(s)

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