The effect of familiarity and novelty on preference of paintings modulated by complexity and categories

Song, Jiwon; Kim, Chai-Youn

doi:10.1167/18.10.405

Cited by 2 publications

(1 citation statement)

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“…The connection between familiarity with the music samples and visual artworks and their preferences is indicated by several studies (Park, Shimojo, and Shimojo, 2010;Song, Kwak, and Kim, 2018). Repeated listening to a composition or observing an artwork leads to a fuller perception and experience, which increases the appreciation of those works.…”

Section: H4: Students Who Show a Higher Level Of Intercultural Sensit...mentioning

confidence: 99%

The Relationship Between Intercultural Sensitivity, World Music Preferences and Preferences for Visual Artwork from Other Cultures

Dobrota

Krnić

Brajčić

2022

REI

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The results do not confirm the influence of the type of secondary education completed on intercultural sensitivity, world music preferences or on preferences for visual artwork from different cultures. Neither was the influence of participants’ year of study on their level of intercultural sensitivity confirmed, but we did confirm that older students show greater preferences for world music and visual artwork from different cultures when compared to younger students. Furthermore, the study confirmed a connection between intercultural sensitivity, on the one hand, and preferences for world music and visual artwork from different cultures, on the other.

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Section: H4: Students Who Show a Higher Level Of Intercultural Sensit...mentioning

confidence: 99%

The Relationship Between Intercultural Sensitivity, World Music Preferences and Preferences for Visual Artwork from Other Cultures

Dobrota

Krnić

Brajčić

2022

REI

View full text Add to dashboard Cite

show abstract

Deep Learning-Based Image Style Transformation Research on Landscape Paintings of Wei, Jin and North-South Dynasties

2024

Applied Mathematics and Nonlinear Sciences

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In this paper, the convolutional neural network is applied to the processing of stylistic features in the images of landscape paintings of Wei Jin and North and South Dynasties. After convolution and pooling activation, rich and less parametric feature maps are generated to lay a solid foundation for generative adversarial networks. Meanwhile, in order to ensure the rigor of the image dataset of landscape painting images under scene transformation, an improvement is proposed on the basis of traditional GAN technology, and a function represents the improved CycleGAN model. The experimental dataset has been constructed, and the loss function, network training, and hyperparameters have been designed for the model. The visual and conversion outcomes of the model-generated images are evaluated through simulation experiments. The migration of all landscape painting style textures is within the range of (0.5,2.4) at a gray level of 8. The migration styles increase as the gray level increases, and the data between groups does not overlap. In the subjective evaluation of the landscape painting style transformation generated by the model used in this paper, the score of the generated image is 3.8135 points, while the number of high scores is more than 65% of the votes. The model constructed in this paper has a better effect on the transformation of the image style of the Wei, Jin, and North and South Dynasties, and it can satisfy people’s visual needs.

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The effect of familiarity and novelty on preference of paintings modulated by complexity and categories

Cited by 2 publications

References 0 publications

The Relationship Between Intercultural Sensitivity, World Music Preferences and Preferences for Visual Artwork from Other Cultures

The Relationship Between Intercultural Sensitivity, World Music Preferences and Preferences for Visual Artwork from Other Cultures

Deep Learning-Based Image Style Transformation Research on Landscape Paintings of Wei, Jin and North-South Dynasties

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