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Paper Abstract and Keywords
Presentation 2018-03-20 10:40
[Invited Talk] Progress of Research on Cross-modal Scene Analysis
Kunio Kashino (NTT) EA2017-166 SIP2017-175 SP2017-149
Abstract (in Japanese) (See Japanese page) 
(in English) The problem of scene analysis means to understand, or describe, various external objects or events associated with spatial and temporal information based on sensory input. It has been a major research topic over the past decades in multiple fields. In the engineering context, as symbolically shown in the terms such as computer vision and computational auditory scene analysis, a major approach has been defining the problem within a single modality and seeking its solutions by mathematical or heuristic means, and many multimodal approaches that use multiple types of sensory input in parallel have also been reported. However, it is still a hard problem when we consider, for example, understanding the scene as well as we humans do in the natural environment in our daily life, and it is likely that a breakthrough is needed to solve it. Against this background, another type of approach taking advantages of multiple modalities has emerged in recent years, supported by the rapid progress of deep learning technologies. In this talk, we call it cross-modal scene analysis. We review some of such works, and discuss potential implications and possibilities of this new research direction.
Keyword (in Japanese) (See Japanese page) 
(in English) scene analysis / hashing / multi-modality / cross-modality / deep learning / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 517, SP2017-149, pp. 353-353, March 2018.
Paper # SP2017-149 
Date of Issue 2018-03-12 (EA, SIP, SP) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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 EA2017-166 SIP2017-175 SP2017-149

Conference Information
Committee SIP EA SP MI  
Conference Date 2018-03-19 - 2018-03-20 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) Speech, Engineering/Electro Acoustics, Signal Processing, and Related Topics [SIP, EA, SP]/ Medical Image Engineering, Analysis, Recognition, etc. [MI] 
Paper Information
Registration To SP 
Conference Code 2018-03-SIP-EA-SP-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Progress of Research on Cross-modal Scene Analysis 
Sub Title (in English)  
Keyword(1) scene analysis  
Keyword(2) hashing  
Keyword(3) multi-modality  
Keyword(4) cross-modality  
Keyword(5) deep learning  
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1st Author's Name Kunio Kashino  
1st Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
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Speaker Author-1 
Date Time 2018-03-20 10:40:00 
Presentation Time 50 minutes 
Registration for SP 
Paper # EA2017-166, SIP2017-175, SP2017-149 
Volume (vol) vol.117 
Number (no) no.515(EA), no.516(SIP), no.517(SP) 
Page p.353 
#Pages
Date of Issue 2018-03-12 (EA, SIP, SP) 


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