Aesthetic Classification and Sorting Based on Image Compression

  • Juan Romero
  • Penousal Machado
  • Adrian Carballal
  • Olga Osorio
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6625)

Abstract

One of the problems in evolutionary art is the lack of robust fitness functions. This work explores the use of image compression estimates to predict the aesthetic merit of images. The metrics proposed estimate the complexity of an image by means of JPEG and Fractal compression. The success rate achieved is 72.43% in aesthetic classification tasks of a problem belonging to the state of the art. Finally, the behavior of the system is shown in an image sorting task based on aesthetic criteria.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Juan Romero
    • 1
  • Penousal Machado
    • 2
  • Adrian Carballal
    • 1
  • Olga Osorio
    • 3
  1. 1.Faculty of Computer ScienceUniversity of A CoruñaCoruñaSpain
  2. 2.CISUC, Department of Informatics EngineeringUniversity of CoimbraCoimbraPortugal
  3. 3.Faculty of Communication SciencesUniversity of A CoruñaCoruñaSpain

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