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A Study on Perceptually Coherent Distance Measures for Color Schemes

机译:配色方案的感知相干距离度量研究

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There has been extensive research on finding distance measuresrnbetween individual colors which conform to the human visualrnsystem color perception. With the recent advent of usingrnand naming color combinations by abstract concepts (classic, romantic),rnthis paper addresses the new problem of computing distancesrnbetween such combinations, which are referred to as colorrnschemes. In addition, the paper proposes an algorithm to computernthe distance measure which is shown to be competitive comparedrnto various state of the art distance measures adapted to thernproblem at hand. In particular, the proposed distance measure,rnreferred to as the Color-based Earth Mover’s Distance (CEMD)rnembeds the CIEDE2000 color difference formula into the EarthrnMover’s Distance (EMD). The CEMD performance in computingrndistances is evaluated through a color scheme retrieval framework.rnQuantitatively, it is shown that the CEMD provides in generalrnthe highest precision at K as compared with the EMD and arndistance based on Fisher Vector representations of color schemes,rnwhich we refer to as FD. Qualitatively, it is shown that retrievedrncolor schemes are more similar to the query scheme when thernCEMD is employed as compared with the EMD and FD. Qualitativernresults on image ranking by concept using the CEMD arernshown to be better than those obtained using tags.
机译:在寻找与人类视觉系统色彩感知相一致的各个色彩之间的距离测量方面,已经进行了广泛的研究。随着最近通过抽象概念(经典,浪漫)使用和命名颜色组合的出现,本文解决了计算这种组合之间的距离的新问题,这被称为颜色组合。另外,本文提出了一种计算机化距离测量的算法,该算法被证明与适应现有问题的各种现有技术的距离测量相比具有竞争力。尤其是,拟议的距离测量(称为“基于颜色的地球移动者的距离(CEMD)”)将CIEDE2000色差公式嵌入到“地球移动者的距离”(EMD)中。通过颜色方案检索框架评估了CEMD在距离上的性能。定量地显示,与基于颜色方案的Fisher Vector表示的EMD和arndistance相比,CEMD通常在K处提供最高的精度。 FD。定性地表明,与EMD和FD相比,采用rnCEMD时,检索到的颜色方案与查询方案更为相似。结果表明,使用CEMD进行图像排名的定性结果要优于使用标签获得的结果。

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