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논문 기본 정보

자료유형
학술대회자료
저자정보
Juan Luis Nieves (Universidad de Granada) Luís Gómez-Robledo (Universidad de Granada) Javier Romero (Universidad de Granada)
저널정보
한국색채학회 AIC 2017 Jeju 2017 AIC CONGRESS
발행연도
2017.10
수록면
531 - 534 (4page)

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초록· 키워드

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The painters in their works not only try to faithfully shape a scene, but to submit this representation to the painter`s mind, according to his training and aesthetic taste. We find of great interest to characterize what we can understand as relevant information in a painting. Techniques for determining "salient" information in an image have recently been developed. It is a question of determining in an image the objects or areas in which an observer focus its attention. With these techniques we can establish which the fundamental colors of a painting are. We have applied the Graph-Based Visual Saliency algorithm (GBVS) to a set of digital images of six painters (Titian, El Greco, Rubens, Velázquez, Rembrandt and Vermeer). We have obtained the number of salient colors in each image after applying a method for counting discernible colors. We have taken a step further by applying thresholds at different levels to determine which the really relevant colors in a scene are, so that we approach the subjective judgments that would give an observer of the colors that stand out in a certain painting. When we evaluate the percentage of reduction of the number of discernible colors in the salient areas, this parameter is less for Rembrandt, Velázquez and Vermeer than for Titian, El Greco and Rubens. This can show a difference in the use of colors with the period that is with the evolution from the renaissance to baroque style. However, when we have evaluated the relevant colors, there is a slight variation in the average values obtained, 15 to 20. We could conclude that the number of relevant colors in the paintings do not change so significantly as the total number of discernible colors according to authors and according to paintings.

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ABSTRACT
INTRODUCTION
RESULTS AND DISCUSSION
CONCLUSION
REFERENCES

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