Selection of Appropriate Methods for Classifying Pictures and Generating Chord Progressions to Introduce Tourist Destinations

  • Hidefumi Kawakatsu Onomichi City University
  • Kosuke Kato Hiroshima Institute of Technology
Keywords: 2D FFT, classification of picture, music extraction, interval

Abstract

This study provides the following two methods applying the 2D FFT (fast Fourier transform) algorithms: (1) a method for finding pleasant photographs of local tourist destinations based on the results of a preliminary experiment, 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 methods.

References

R. Botha and C. Knight, The Prehistory of Language. Oxford University Press, USA, 2009.

R. F. Voss and J. Clarke, ““1/ f noise” in music: Music from 1/ f noise,” J. Acoust. Soc. Am., vol. 63, no. 1, 1978, pp. 258–263.

G. R. Jafari, P. Pedram, and L. Hedayatifar, “Long-range correlation and multifractality in bach’s inventions pitches,” Journal of Statistical Mechanics: Theory and Experiment, vol. P04012, 2007.

L. Dagduga et al., “Correlations in a mozart’s music score (k-73x) with palindromic and upside-down structure,” Physica A, vol. 383, no. 2, 2007, pp. 570–584.

W. Ro and Y. Kwon, “1/ f noise analysis of songs in various genre of music,” Chaos Solitons & Fractals, vol. 42, 2009, pp. 2305–2311.

E. Rodriguez et al., “1/ f noise structures in Pollocks’ drip paintings,” Physica A, vol. 387, 2008, pp. 281–295.

T. Musha, Yuragi no Sekai [The World of Fluctuations], Kodansha, 1980.

H. Kawakatsu, “Methods for evaluating pictures and extracting music by 2D DFA and 2D FFT,” Procedia Computer Science, vol. 60, 2015, pp. 834–840.

H. Kawakatsu, “Methods for Classifying Pictures of Tourist Destinations and for Transforming Frequency Components into Musical Chords,” Proc. of 5th International Congress on Advanced Applied Informatics (AAI 2016), 2016, pp. 807–812.

E. Rodriguez, J. C. Echeverria, and J. Alvarez-Ramirez, “1/ f α fractal noise generation from Grunwald-Letnikov formula,” ¨ Chaos, Solitons & Fractals, vol. 39, no. 2, 2009, pp. 882–888.

H. Kawakatsu, “Fluctuation analysis for photographs of tourist spots and music extraction from photographs,” Lecture Notes in Engineering and Computer Science: Proc. of The World Congress on Engineering 2014 (WCE2014), vol. 1, 2014, pp. 558–561.

H. Katagiri, T. Hayashida, I. Nishizaki, and Q. Guo, “A hybrid algorithm based on tabu search and ant colony optimization for k-minimum spanning tree problems,” Expert Systems with Applications, vol. 39, no. 5, 2012, pp. 5681–5686.

Onomichi city, Onomichi Sansaku 204 Sen [Selected 204 exquisite spots in Onomichi]. Toppan Printing, 2004.

Published
2016-09-30
Section
Technical Papers (Business Management of Technology)