Paper Abstract and Keywords |
Presentation |
2017-10-06 08:30
Neural network-based estimation of degree of feeling that natural objects appear in photographic images Manami Sasaki, Koji Iwano (Tokyo City Univ.) |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Recently, it is expected that the systems for automatically adding the suitable music to a target image will be developed. Toward realizing the systems, we propose a method to estimate the degree of feeling that natural objects appear in the target (photographic) images. The method uses neural network-based frameworks, and the network is trained by approximately 900 images. Evaluations were conducted by a task which classifies the impression of input images as “natural” or “artificial”. The best classification rate of 76.5% is observed when using “shape information (Bag-of-Keypoints)”, “the number of object candidates”, and “the number and area of detected face regions” as input features. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Natural objects / Image impression estimation / Photographic image / Neural network / / / / |
Reference Info. |
ITE Tech. Rep., vol. 41, no. 33, ME2017-109, pp. 75-80, Oct. 2017. |
Paper # |
ME2017-109 |
Date of Issue |
2017-09-29 (ME, AIT) |
ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
Download PDF |
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Conference Information |
Committee |
ME AIT IEICE-IE |
Conference Date |
2017-10-05 - 2017-10-06 |
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(See Japanese page) |
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Paper Information |
Registration To |
ME |
Conference Code |
2017-10-ME-AIT-IE |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
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(See Japanese page) |
Title (in English) |
Neural network-based estimation of degree of feeling that natural objects appear in photographic images |
Sub Title (in English) |
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Natural objects |
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Image impression estimation |
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Photographic image |
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Neural network |
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1st Author's Name |
Manami Sasaki |
1st Author's Affiliation |
Tokyo City University (Tokyo City Univ.) |
2nd Author's Name |
Koji Iwano |
2nd Author's Affiliation |
Tokyo City University (Tokyo City Univ.) |
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Speaker |
Author-1 |
Date Time |
2017-10-06 08:30:00 |
Presentation Time |
25 minutes |
Registration for |
ME |
Paper # |
ME2017-109, AIT2017-168 |
Volume (vol) |
vol.41 |
Number (no) |
no.33 |
Page |
pp.75-80 |
#Pages |
6 |
Date of Issue |
2017-09-29 (ME, AIT) |
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