首页> 外文会议>Human Vision and Electronic Imaging XI; Electronic Imaging Science and Technology >Is Woelfflin's system for characterizing art possible to validate by methods used in cognitive-based image-retrieval (CBIR)?
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Is Woelfflin's system for characterizing art possible to validate by methods used in cognitive-based image-retrieval (CBIR)?

机译:Woelfflin的艺术表征系统是否可以通过基于认知的图像检索(CBIR)中使用的方法进行验证?

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The hypothesis of this study was to find out whether it is possible to capture Woelfflin's basic concepts using methods within CBIR for estimating global characteristics of art works. If results from regression analysis of behavioral data can be linked to global spectral and spatial characteristics of the same art works, then this would substantiate our hypothesis. From a regression analysis assuming a linear relationship between trained observers' ratings of art works representing Woelfflin's concepts and three global image processing features commonly used in CBIR and assumed to be significantly related to the same concepts, we found results that give support to our hypothesis - it seems possible to grasp some of the art concepts by CBIR methods.
机译:这项研究的假设是找出是否有可能使用CBIR中的方法来估计艺术作品的整体特征来捕捉Woelfflin的基本概念。如果将行为数据的回归分析结果与同一艺术作品的整体光谱和空间特征联系起来,那么这将证实我们的假设。通过回归分析,假设经过训练的观察者对代表Woelfflin概念的艺术品评分与CBIR中常用的三个全局图像处理功能(假定与相同概念之间存在显着线性关系)之间的线性关系,我们得出的结果为我们的假设提供了支持-似乎有可能通过CBIR方法掌握一些艺术概念。

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