Paper Abstract and Keywords |
Presentation |
2024-02-10 10:15
Examination of improvement in product region extraction based on deep neural network Riku Kato, Takuya Futagami (AGU) |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this paper, we propose a method, which can extract product regions at pixel-wise level from images uploaded to online market places. Based on LDA transformation, the proposed method creates effective features for GrabCut to improve the product extraction accuracy. To confirm an effectiveness of the proposed method, an experiment using 72 product images was performed. The results indicated that the proposed method increased the accuracy by 1.9% compared with the conventional product region extraction. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Product region extraction / SegNet / Texture analysis / LDA / GrabCut / / / |
Reference Info. |
ITE Tech. Rep., vol. 48, no. 4, ME2024-3, pp. 8-11, Feb. 2024. |
Paper # |
ME2024-3 |
Date of Issue |
2024-02-03 (ME) |
ISSN |
Online edition: ISSN 2424-1970 |
Download PDF |
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Conference Information |
Committee |
ME |
Conference Date |
2024-02-10 - 2024-02-10 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
online |
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(See Japanese page) |
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Paper Information |
Registration To |
ME |
Conference Code |
2024-02-ME |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Examination of improvement in product region extraction based on deep neural network |
Sub Title (in English) |
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Keyword(1) |
Product region extraction |
Keyword(2) |
SegNet |
Keyword(3) |
Texture analysis |
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LDA |
Keyword(5) |
GrabCut |
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1st Author's Name |
Riku Kato |
1st Author's Affiliation |
Aichi Gakuin University (AGU) |
2nd Author's Name |
Takuya Futagami |
2nd Author's Affiliation |
Aichi Gakuin University (AGU) |
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Speaker |
Author-1 |
Date Time |
2024-02-10 10:15:00 |
Presentation Time |
15 minutes |
Registration for |
ME |
Paper # |
ME2024-3 |
Volume (vol) |
vol.48 |
Number (no) |
no.4 |
Page |
pp.8-11 |
#Pages |
4 |
Date of Issue |
2024-02-03 (ME) |