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Paper Abstract and Keywords
Presentation 2020-09-02 10:30
Image Captioning in Near-Future from Vehicle Camera images and motion information
Yuki Mori, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi (Chubu Univ.) PRMU2020-10
Abstract (in Japanese) (See Japanese page) 
(in English) Image caption generation is a task to generate explanatory text for input images, which is used for automatic generation of news sentences and tags for image search. In addition, in order to reduce the psychological burden on passengers, automonous driving is also expected to be applied to provide verbal explanations of the decision-making basis for driving control. On the other hand, the image caption generation so far has been limited to captions for the input images and has not generated captions that can occur in the near future. In automonous driving, it is more important to generate captions for events in the near future than for the current time to prevent accidents and alert passengers. In this paper, we propose a new task of near-future caption generation and a model suitable for generating near-future captions from images captured by in-vehicle cameras. We showed that near-future caption generation is possible in evaluation experiments using the Berkeley Deep Drive eXplanation Dataset.
Keyword (in Japanese) (See Japanese page) 
(in English) image captioning / LSTM / CNN / in-vehicle camera / near future / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 154, PRMU2020-10, pp. 13-18, Sept. 2020.
Paper # PRMU2020-10 
Date of Issue 2020-08-26 (PRMU) 
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 PRMU2020-10

Conference Information
Committee PRMU  
Conference Date 2020-09-02 - 2020-09-02 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Multi-modal, Cross-modal 
Paper Information
Registration To PRMU 
Conference Code 2020-09-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Image Captioning in Near-Future from Vehicle Camera images and motion information 
Sub Title (in English)  
Keyword(1) image captioning  
Keyword(2) LSTM  
Keyword(3) CNN  
Keyword(4) in-vehicle camera  
Keyword(5) near future  
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1st Author's Name Yuki Mori  
1st Author's Affiliation Chubu University (Chubu Univ.)
2nd Author's Name Tsubasa Hirakawa  
2nd Author's Affiliation Chubu University (Chubu Univ.)
3rd Author's Name Takayoshi Yamashita  
3rd Author's Affiliation Chubu University (Chubu Univ.)
4th Author's Name Hironobu Fujiyoshi  
4th Author's Affiliation Chubu University (Chubu Univ.)
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Speaker Author-1 
Date Time 2020-09-02 10:30:00 
Presentation Time 15 minutes 
Registration for PRMU 
Paper # PRMU2020-10 
Volume (vol) vol.120 
Number (no) no.154 
Page pp.13-18 
#Pages 6 
Date of Issue 2020-08-26 (PRMU) 

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