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A Novel Computational Tool for Aesthetic Scoring of Digital Photography

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To be able to score the aesthetic and emotional appealing of digital pictures through the usage of ad-hoc computational frameworks is now affordable. It is possible to combine lowlevel features and composition rule to extract semantic issues devoted to isolate the degree of emotional appealing of the involved subject. We propose to assess the aesthetic quality assessment on a general set of photos focusing on consumer photos with faces. Taking into account local spatial relation between involved faces and coupling such information with simple composition rule an effective aesthetic scoring is obtained. A further contribution of the proposed solution is the novel usage of the involved facial expressions and relative pose to derive additional insights to the overall procedure. Preliminary experiments and comparisons with recent solution in the field confirm the effectiveness of the proposed tool.
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Document Type: Research Article

Publication date: January 1, 2012

More about this publication?
  • Started in 2002 and merged with the Color and Imaging Conference (CIC) in 2014, CGIV covered a wide range of topics related to colour and visual information, including color science, computational color, color in computer graphics, color reproduction, volor vision/psychophysics, color image quality, color image processing, and multispectral color science. Drawing papers from researchers, scientists, and engineers worldwide, DGIV offered attendees a unique experience to share with colleagues in industry and academic, and on national and international standards committees. Held every year in Europe, DGIV papers were more academic in their focus and had high student participation rates.

    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual papers for details.

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