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Statistical image properties of print advertisements visual artworks and images of architecture

机译:平面广告视觉艺术品和建筑图像的统计图像属性

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摘要

Most visual advertisements are designed to attract attention, often by inducing a pleasant impression in human observers. Accordingly, results from brain imaging studies show that advertisements can activate the brain's reward circuitry, which is also involved in the perception of other visually pleasing images, such as artworks. At the image level, large subsets of artworks are characterized by specific statistical image properties, such as a high self-similarity and intermediate complexity. Moreover, some image properties are distributed uniformly across orientations in the artworks (low anisotropy). In the present study, we asked whether images of advertisements share these properties. To answer this question, subsets of different types of advertisements (single-product print advertisements, supermarket and department store leaflets, magazine covers and show windows) were analyzed using computer vision algorithms and compared to other types of images (photographs of simple objects, faces, large-vista natural scenes and branches). We show that, on average, images of advertisements and artworks share a similar degree of complexity (fractal dimension) and self-similarity, as well as similarities in the Fourier spectrum. However, images of advertisements are more anisotropic than artworks. Values for single-product advertisements resemble each other, independent of the type of product promoted (cars, cosmetics, fashion or other products). For comparison, we studied images of architecture as another type of visually pleasing stimuli and obtained comparable results. These findings support the general idea that, on average, man-made visually pleasing images are characterized by specific patterns of higher-order (global) image properties that distinguish them from other types of images. Whether these properties are necessary or sufficient to induce aesthetic perception and how they correlate with brain activation upon viewing advertisements remains to be investigated.
机译:大多数视觉广告通常通过在人类观察者中引起愉悦的印象来吸引人们的注意力。因此,大脑成像研究的结果表明,广告可以激活大脑的奖励电路,这也参与了对其他视觉愉悦图像(例如艺术品)的感知。在图像级别,艺术品的大子集具有特定的统计图像属性,例如高自相似度和中等复杂度。此外,某些图像属性在艺术品中的各个方向上均匀分布(各向异性低)。在本研究中,我们询问广告图像是否具有这些属性。为了回答这个问题,使用计算机视觉算法分析了不同类型广告的子集(单一产品印刷广告,超市和百货公司传单,杂志封面和橱窗),并将其与其他类型的图像(简单物体的照片,面部照片)进行了比较,大景观自然场景和分支)。我们证明,平均而言,广告和艺术品的图像具有相似程度的复杂性(分形维数)和自相似性,以及傅立叶谱中的相似性。但是,广告图像比艺术品更具各向异性。单一产品广告的价值彼此相似,与促销产品的类型(汽车,化妆品,时装或其他产品)无关。为了进行比较,我们研究了作为另一类视觉上令人愉悦的刺激的建筑图像,并获得了可比的结果。这些发现支持了一般的想法,即人造的视觉上令人愉悦的图像通常具有特定的高阶(全局)图像属性模式,这些模式将它们与其他类型的图像区分开。这些属性是否是必需的或足以引起审美观念的,以及它们在观看广告时与大脑激活的关系如何仍待研究。

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