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Conference Paper
Optimization of an Image Set by Genetic Feature Selection for Real-time Photomosaics
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- Authors
- Yoon-Seok Choi, Bon-Ki Koo, Byung-Ro Moon
- Issue Date
- 2010-07
- Citation
- Genetic and Evolutionary Computation Conference (GECCO) 2010, pp.1309-1310
- Language
- English
- Type
- Conference Paper
- 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.
- KSP Keywords
- Genetic feature selection, Grid cell, Limited resources, Mobile devices, Pattern searching, Real-time, Storage space, color pattern, feature selection method, image set, memory cost