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Paper Abstract and Keywords
Presentation 2016-11-24 17:15
[Invited Talk] The Past, Present, and Future of Video Search: Query Object from Known to Unknown
Jianquan Liu, Shoji Nishimura, Takuya Araki, Yuichi Nakamura (NEC) CAS2016-67 MSS2016-47
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we introduce the change of search technology and the future development of video search in the past, present and future for known and unknown query subjects in surveillance area. In the past, most research focused on finding target person from the surveillance video by specifying a known person. We created the concept of video retrieval "Where's Wally?" and developed a scalable distributed video search system for video metadata. However, demand for video surveillance is changing, and response to unknown search targets is required. For this reason, we are currently working on research to find unknown persons at high speed based on the appearance pattern of the person who appears in the surveillance videos. Recently, we have succeeded in developing fast video retrieval technology, "Profiling across Spatio-Temporal Data", with an eye on the spatiotemporal characteristics of the appearance pattern of unknown person. In this paper, we will introduce the profiling technique across spatiotemporal data in detail. Finally, while exploring the future of video retrieval, we describe the trend of the latest technology and the application extension of our technique.
Keyword (in Japanese) (See Japanese page) 
(in English) Video search / Appearance pattern / Unknown person / Surveillance video / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 316, MSS2016-47, pp. 73-77, Nov. 2016.
Paper # MSS2016-47 
Date of Issue 2016-11-17 (CAS, MSS) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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 CAS2016-67 MSS2016-47

Conference Information
Committee MSS CAS IPSJ-AL  
Conference Date 2016-11-24 - 2016-11-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Kobe Institute of Computing 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MSS 
Conference Code 2016-11-MSS-CAS-AL 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) The Past, Present, and Future of Video Search: Query Object from Known to Unknown 
Sub Title (in English)  
Keyword(1) Video search  
Keyword(2) Appearance pattern  
Keyword(3) Unknown person  
Keyword(4) Surveillance video  
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1st Author's Name Jianquan Liu  
1st Author's Affiliation NEC Corporation (NEC)
2nd Author's Name Shoji Nishimura  
2nd Author's Affiliation NEC Corporation (NEC)
3rd Author's Name Takuya Araki  
3rd Author's Affiliation NEC Corporation (NEC)
4th Author's Name Yuichi Nakamura  
4th Author's Affiliation NEC Corporation (NEC)
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Speaker Author-1 
Date Time 2016-11-24 17:15:00 
Presentation Time 50 minutes 
Registration for MSS 
Paper # CAS2016-67, MSS2016-47 
Volume (vol) vol.116 
Number (no) no.315(CAS), no.316(MSS) 
Page pp.73-77 
#Pages
Date of Issue 2016-11-17 (CAS, MSS) 


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