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原文連結
論文資訊
- 類型：已發表論文
- 日期：2010
摘要
What makes two images look similar? Here we test the hypothesis that perceived similarity of artwork is related to basic image statistics to which the early visual system is attuned. In two experiments, we employ multidimensional 縮放律 (MDS) analysis of paired- image similarity ratings from observers for paintings. Two sets of images, classified as "landscapes" and "portraits/still-life", are tested separately. For the landscapes, we find that one of the first two MDS scales of similarity is strongly correlated with a basic greyscale image statistic, whereas the other dimension can be accounted for by a semantic variable (representation of people). For portrait/still-life, the first two MDS scales of similarity are most highly correlated with semantic variables. Linear combinations of 統計 and
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