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Paper Abstract and Keywords
Presentation 2022-07-29 13:55
A Comparison Study on Image Captioning by VGG and YOLO
Yan LYU, Qiangfu Zhao, Yong Liu (UoA) R2022-10
Abstract (in Japanese) (See Japanese page) 
(in English) Image captioning is a task for generating a descriptive statement automatically for a given image by combining image processing and natural language processing together. The existing approaches divided the whole process into two parts, encoding process and decoding process. Our research proposed an image captioning method based on the existed encoder-decoder architecture with the YOLO as encoder and the LSTM as decoder. The encoder is used to encode images into feature vectors while the decoder is to generate natural language sentences based on the feature vectors to describe the image. The proposed method was compared with other existed models.
Keyword (in Japanese) (See Japanese page) 
(in English) Image Caption Generation / End-to-end / YOLO / LSTM / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 140, R2022-10, pp. 7-12, July 2022.
Paper # R2022-10 
Date of Issue 2022-07-22 (R) 
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 R2022-10

Conference Information
Committee R  
Conference Date 2022-07-29 - 2022-07-29 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) Reliability Theory, Communication Network Reliability, Reliability General 
Paper Information
Registration To R 
Conference Code 2022-07-R 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Comparison Study on Image Captioning by VGG and YOLO 
Sub Title (in English)  
Keyword(1) Image Caption Generation  
Keyword(2) End-to-end  
Keyword(3) YOLO  
Keyword(4) LSTM  
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1st Author's Name Yan LYU  
1st Author's Affiliation University of Aizu (UoA)
2nd Author's Name Qiangfu Zhao  
2nd Author's Affiliation University of Aizu (UoA)
3rd Author's Name Yong Liu  
3rd Author's Affiliation University of Aizu (UoA)
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Speaker Author-1 
Date Time 2022-07-29 13:55:00 
Presentation Time 25 minutes 
Registration for R 
Paper # R2022-10 
Volume (vol) vol.122 
Number (no) no.140 
Page pp.7-12 
#Pages 6 
Date of Issue 2022-07-22 (R) 

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