Comparing Aesthetic Measures for Evolutionary Art

Heijer, Eelco den; Eiben, A. E.

doi:10.1007/978-3-642-12242-2_32

Cited by 53 publications

(44 citation statements)

References 12 publications

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“…A portfolio of eight images evolved using symbolic expressions, from [11,12,13,16] In Figure 1 we see a number of images that are the result of previous experiments with the evolution of images using and expression based representation [13]. We see a variety of images, but almost all images are abstract "textures".…”

Section: Figurementioning

confidence: 97%

“…Good overviews of the field are [33] and [5]. Some evolutionary art systems use IEC or supervised fitness assignment [39,34], and in recent years there has been increased activity in investigating unsupervised fitness assignment [3,35,24,12,11]. A number of different representations have been investigated for use in evolutionary art.…”

Section: Representation In Evolutionary Artmentioning

confidence: 99%

“…We will briefly describe symbolic expressions, shape grammars, cellular automata and L-systems, vector graphics and representations that use an image as a source. Symbolic Expressions The most widespread representation within evolutionary art is the symbolic expression [39,34,22,25,12,11,16]. The symbolic expression paradigm, pioneered by Karl Sims in 1991 [39] works roughly as follows; each genome is a symbolic expression (i.e.…”

Section: Representation In Evolutionary Artmentioning

confidence: 99%

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Using scalable vector graphics to evolve art

Heijer

Eiben

2016

IJART

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In this paper we describe our investigations of the use of Scalable Vector Graphics as a genotype representation in evolutionary art. We describe the technical aspects of using SVG in evolutionary art, and explain the genetic operators mutation and crossover. Furthermore, we compare the use of SVG with existing representations in evolutionary art. We perform two series of experiments and describe their setup and results. In the first series of experiments we investigate the feasibility of SVG as a genotype representation for evolutionary art, and we evolve abstract images using a number of aesthetic measures as fitness functions (all experiments described in this paper are done without a human in the loop). We found that SVG is suitable as a genotype representation for evolutionary art, but that the range of the visual output was limited by the design of our genetic operators. In order to increase the range of the visual output, and in order to evolve representational images, we performed a second series of experiments in which we used existing images as source material. We designed and implemented a new initialisation, crossover and mutation operator. We also designed and implemented an ad-hoc aesthetic measure for 'pop-art' and used this to evolve images that are visually similar to screen printing art and pop art. All images and SVG code examples in this paper are available at

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Section: Figurementioning

confidence: 97%

Section: Representation In Evolutionary Artmentioning

confidence: 99%

Section: Representation In Evolutionary Artmentioning

confidence: 99%

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Using scalable vector graphics to evolve art

Heijer

Eiben

2016

IJART

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“…One motivation for selecting this metric over some of the more recent methods from the field of computational aesthetics [25,26] is that harmony does not expect patterns to be derived from images. Other metrics frequently assume they are being used for image assessment and therefore rely on the calculation of quantities, such as compression ratios, or statistics related to image properties, such as colour, which make them difficult to apply to non-image patterns.…”

Section: Harmony Pattern Metricmentioning

confidence: 99%

Aesthetic Local Search of Wind Farm Layouts

Mayo

Daoud

2017

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Abstract:The visual impact of wind farm layouts has seen little consideration in the literature on the wind farm layout optimisation problem to date. Most existing algorithms focus on optimising layouts for power or the cost of energy alone. In this paper, we consider the geometry of wind farm layouts and whether it is possible to bi-optimise a layout for both energy efficiency and the degree of visual impact that the layout exhibits. We develop a novel optimisation approach for solving the problem which measures mathematically the degree of visual impact of a layout. The approach draws inspiration from the field of architecture. To evaluate our ideas, we demonstrate them on three benchmark problems for the wind farm layout optimisation problem in conjunction with two recently-published stochastic local search algorithms. Optimal patterned layouts are shown to be very close in terms of energy efficiency to optimal non-patterned layouts.

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“…In the EA works, we considered three measures proposed in Ref. 42, Machado and Cardoso, Ross, Ralph and Zong (bell curve), and a fractal dimension aesthetic measure. Also, we studied five measures proposed in Ref.…”

Section: Review On Related Measuresmentioning

confidence: 99%

Blind image quality assessment based on aesthetic and statistical quality-aware features

Jenadeleh

Masaeli

Moghaddam

2017

J. Electron. Imaging

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Abstract. The main goal of image quality assessment (IQA) methods is the emulation of human perceptual image quality judgments. Therefore, the correlation between objective scores of these methods with human perceptual scores is considered as their performance metric. Human judgment of the image quality implicitly includes many factors when assessing perceptual image qualities such as aesthetics, semantics, context, and various types of visual distortions. The main idea of this paper is to use a host of features that are commonly employed in image aesthetics assessment in order to improve blind image quality assessment (BIQA) methods accuracy. We propose an approach that enriches the features of BIQA methods by integrating a host of aesthetics image features with the features of natural image statistics derived from multiple domains. The proposed features have been used for augmenting five different state-of-the-art BIQA methods, which use statistical natural scene statistics features. Experiments were performed on seven benchmark image quality databases. The experimental results showed significant improvement of the accuracy of the methods.

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Comparing Aesthetic Measures for Evolutionary Art

Cited by 53 publications

References 12 publications

Using scalable vector graphics to evolve art

Using scalable vector graphics to evolve art

Aesthetic Local Search of Wind Farm Layouts

Blind image quality assessment based on aesthetic and statistical quality-aware features

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