Presentation | 2015-03-19 Log-normal Distribution of Objects' Size in Images and Its Applications to Object Detection : Comparing General Images and Food Images Shota HORIGUCHI, Kiyoharu AIZAWA, Makoto OGAWA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | When detecting objects in images by which classifying many location hypotheses, it is necessary to define aspect ratio and scale of detection window in advance. In this paper, we construct a model of size distribution of objects in images, and revealed that the size of foods in images taken for recording dietary follows a log-normal distribution. We apply this characteristic to defining parameters of selective search, the method of generating object hypotheses, and result in high Mean Average Best Overlap in spite of small number of object hypotheses when using FoodLog image dataset. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | food image / object detection / log-normal distribution / selective search |
Paper # | BioX2014-61,PRMU2014-181 |
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Committee | PRMU |
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Conference Date | 2015/3/12(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Log-normal Distribution of Objects' Size in Images and Its Applications to Object Detection : Comparing General Images and Food Images |
Sub Title (in English) | |
Keyword(1) | food image |
Keyword(2) | object detection |
Keyword(3) | log-normal distribution |
Keyword(4) | selective search |
1st Author's Name | Shota HORIGUCHI |
1st Author's Affiliation | Dept. of Electronics and Information Science, The University of Tokyo() |
2nd Author's Name | Kiyoharu AIZAWA |
2nd Author's Affiliation | Dept. of Information and Communication Eng., The University of Tokyo |
3rd Author's Name | Makoto OGAWA |
3rd Author's Affiliation | foo.log, Inc. |
Date | 2015-03-19 |
Paper # | BioX2014-61,PRMU2014-181 |
Volume (vol) | vol.114 |
Number (no) | 521 |
Page | pp.pp.- |
#Pages | 6 |
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