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Paper Abstract and Keywords
Presentation 2023-03-02 09:30
Detection of UI parts from web page images utilizing a small amount of data
Wataru Aizaki, Sotaro Kato, Yoshihisa Shinozawa (Keio Univ.), Yukako Iimura, Shinobu Saito (NTT) PRMU2022-61 IBISML2022-68
Abstract (in Japanese) (See Japanese page) 
(in English) The purpose of our research is to devise a method for detecting UI parts in a Web screen. The proposed method consists of a region segmentation process that detects the candidates of UI part from Web screens and a classification process that classifies the candidates into classes. In particular, we devise a detection method using only a small amount of data in order to improve the task of collecting a large number of training data. In the region segmentation process, the candidates of UI parts are extracted by grouping the results of User Interface Element Detection (UIED). In the classification process, image features, text features, and position features are extracted from the candidates of UI parts, and one-shot learning is used to classify UI parts into classes. The effectiveness of the proposed method is evaluated by collecting UI part screens on an OSS web system.
Keyword (in Japanese) (See Japanese page) 
(in English) UI parts / Object Detection / Region Segmentation / One-shot Learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 404, PRMU2022-61, pp. 17-22, March 2023.
Paper # PRMU2022-61 
Date of Issue 2023-02-23 (PRMU, IBISML) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF PRMU2022-61 IBISML2022-68

Conference Information
Committee PRMU IBISML IPSJ-CVIM  
Conference Date 2023-03-02 - 2023-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Future University Hakodate 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2023-03-PRMU-IBISML-CVIM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Detection of UI parts from web page images utilizing a small amount of data 
Sub Title (in English)  
Keyword(1) UI parts  
Keyword(2) Object Detection  
Keyword(3) Region Segmentation  
Keyword(4) One-shot Learning  
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1st Author's Name Wataru Aizaki  
1st Author's Affiliation Keio University (Keio Univ.)
2nd Author's Name Sotaro Kato  
2nd Author's Affiliation Keio University (Keio Univ.)
3rd Author's Name Yoshihisa Shinozawa  
3rd Author's Affiliation Keio University (Keio Univ.)
4th Author's Name Yukako Iimura  
4th Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
5th Author's Name Shinobu Saito  
5th Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
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Speaker Author-1 
Date Time 2023-03-02 09:30:00 
Presentation Time 10 minutes 
Registration for PRMU 
Paper # PRMU2022-61, IBISML2022-68 
Volume (vol) vol.122 
Number (no) no.404(PRMU), no.405(IBISML) 
Page pp.17-22 
#Pages 6 
Date of Issue 2023-02-23 (PRMU, IBISML) 

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