Methods for evaluating pictures of tourist destinations and for extracting music
| Project/Area Number |
25730168
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Kansei informatics
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| Research Institution | Onomichi City University |
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Principal Investigator |
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| Project Period (FY) |
2013-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2014: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2013: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
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| Keywords | 画像のゆらぎ解析 / FFT / DFA / 自動作曲 / 観光需要拡大 |
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| Outline of Final Research Achievements |
This study proposes the following two methods applying FFT algorithm and DFA: (1) a method for finding pleasant photographs of local tourist destinations, and (2) a method for generating music from these photographs.
We define "pleasant image" as the photograph containing 1/f noise components since it has been suggested that the 1/f-noise structure in visual art as well as in music can stimulate the perception of pleasant. We analyze 198 photographs published in the book edited by Onomichi city to find the pleasant photographs. The method for extracting music from the picture is developed as follows: (a) the image is divided into some squares and frequency components are extracted from each square by FFT, and then (b) the frequency components of each square are transformed into musical pitches. Our methods may be available to recommend a sightseeing route which connects the pleasant spots for tourists, and to create the music from photographs of these spots.
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Report
(3 results)
Research Products
(10 results)
