Optimization of an image set by genetic feature selection for real-time photomosaics

  • Authors:

  • Yoon-Seok Choi;Bon-Ki Koo;Byung-Ro Moon

  • Affiliations:

  • Electronics and Telecommunications Research Institute, Daejeon, South Korea;Electronics and Telecommunications Research Institute, Daejeon, South Korea;School of Computer Science and Engineering Seoul National University, Seoul, South Korea

  • Venue:
  • Proceedings of the 12th annual conference on Genetic and evolutionary computation
  • Year:
  • 2010

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Abstract

We present a genetic feature selection method for the optimization of an image set for producing real-time photomosaics. A photomosaic is an image that is divided into grid cells, each of which is replaced with another image of an appropriate color pattern. Construction of a photomosaic requires a large set of tile images with different patterns. However, a large number of photo images requires expensive pattern searching and a large storage space. These requirements can cause problems in applications to real-time domains or mobile devices with limited resources. We present a genetic feature selection method for building an optimized image set to accelerate pattern searching and minimize the memory cost.