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料理画像からの食材識別に関する研究
https://ipsj.ixsq.nii.ac.jp/records/229911
https://ipsj.ixsq.nii.ac.jp/records/2299119ebb2f9f-4dcd-4c0d-8958-d698ba692bba
名前 / ファイル | ライセンス | アクション |
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Copyright (c) 2023 by the Information Processing Society of Japan
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Item type | National Convention(1) | |||||||||||
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公開日 | 2023-02-16 | |||||||||||
タイトル | ||||||||||||
タイトル | 料理画像からの食材識別に関する研究 | |||||||||||
言語 | ||||||||||||
言語 | eng | |||||||||||
キーワード | ||||||||||||
主題Scheme | Other | |||||||||||
主題 | 人工知能と認知科学 | |||||||||||
資源タイプ | ||||||||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||||||||
資源タイプ | conference paper | |||||||||||
著者所属 | ||||||||||||
岩手県大 | ||||||||||||
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岩手県大 | ||||||||||||
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岩手県大 | ||||||||||||
著者名 |
付, 坤
× 付, 坤
× 戴, 莹
× 朱, 子宜
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論文抄録 | ||||||||||||
内容記述タイプ | Other | |||||||||||
内容記述 | Food image recognition is different from general object recognition tasks. Many types of ingredients in the food images do not have a unique spatial layout, and the shape of ingredients may change with cooking methods and cutting methods.This is a big challenge for food recognition, especially, recognizing the ingredients in the food images. In this paper, we focus on recognizing the ingredients segmented from the food images, and propose a method for it. In details, the candidate regions of the ingredients for the recognition are located by the methods of locating and sliding windows. Then, these regions are assigned to the ingredient classes by the CNN-based ingredients classifier trained by the dataset with single ingredient images. Finally, the final ingredients are decided from these candidate results by using the scheme of decision making.The effectiveness of the proposed method is evaluated by the experimental results. | |||||||||||
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収録物識別子タイプ | NCID | |||||||||||
収録物識別子 | AN00349328 | |||||||||||
書誌情報 |
第85回全国大会講演論文集 巻 2023, 号 1, p. 225-226, 発行日 2023-02-16 |
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出版者 | ||||||||||||
言語 | ja | |||||||||||
出版者 | 情報処理学会 |