Methods for Classifying Pictures of Tourist Destinations and for Transforming Frequency Components into Musical Chords

机译：用于对旅游目的地图片进行分类并将频率分量转换为和弦的方法

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This study develops the following two methods applying the 1D and 2D FFT (fast Fourier transform) algorithms: (1) a method for finding pleasant photographs of local tourist destinations based on observations in our previous study, and (2) a method for generating chord progressions from these photographs considering the two kinds of “intervals”: (a) the difference between the frequency components and (b) the difference between pitches in music theory. Some examples are provided to illustrate the proposed method.

机译：这项研究开发了以下两种使用1D和2D FFT（快速傅里叶变换）算法的方法：（1）一种基于我们先前研究中的观察结果来寻找当地旅游目的地的令人愉快的照片的方法，以及（2）一种产生和弦的方法这些照片的变化考虑了两种“间隔”：（a）频率成分之间的差异和（b）音乐理论中音高之间的差异。提供了一些示例来说明所提出的方法。

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《IIAI International Congress on Advanced Applied Informatics》|2016年|807-812|共6页
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Hidefumi Kawakatsu;
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关键词
Two dimensional displays; Music; Painting; Classification algorithms; Brightness; Fast Fourier transforms; Web sites;

机译：二维显示;音乐;绘画;分类算法;亮度;快速傅立叶变换;网站;

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3. Effects of musical experience on different components of MEG responses elicited by sequential piano-tones and chords. [J] . Kuriki S, Kanda S, Hirata Y The Journal of Neuroscience: The Official Journal of the Society for Neuroscience . 2006,第15期

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4. Methods for Classifying Pictures of Tourist Destinations and for Transforming Frequency Components into Musical Chords [C] . Hidefumi Kawakatsu IIAI International Congress on Advanced Applied Informatics . 2016

机译：对旅游目的地图片和将频率分量转换为音乐和弦的方法
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6. Effects of Musical Experience on Different Components of MEG Responses Elicited by Sequential Piano-Tones and Chords [O] . Shinya Kuriki, Satoshi Kanda, Yoshihiro Hirata 2006

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Methods for Classifying Pictures of Tourist Destinations and for Transforming Frequency Components into Musical Chords

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