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Paper Abstract and Keywords
Presentation 2020-11-04 15:50
[Short Paper] An Experimental Study on Color Laparoscopic High-Definition Video Quality Assessment Including Super-resolution
Norifumi Kawabata (Tokyo Univ. of Science), Toshiya Nakaguchi (Chiba Univ.) MICT2020-19 MI2020-45
Abstract (in Japanese) (See Japanese page) 
(in English) After considering medical image analysis support, it is one of importance factors to assess high-definition image quality for high-definition display. In case of processing recognition and detection of body region and lesion in medical images, it is not enough to judge the only information of still image or some frame images. To find out image content and characteristics more accurately, we need to consider image quality from information obtained by video. In this paper, in the case of changing bit rate and focusing on image quality for color laparoscopic high-definition video including super-resolution, we carried out the objective assessment experiment by using PSNR, SSIM among frame of image, bit rate of video. Finally, we discussed with regard to display of medical image.
Keyword (in Japanese) (See Japanese page) 
(in English) Laparoscopic Video / Super-Resolution Convolutional Neural Network (SRCNN) / Bit Rate / H.265/HEVC / Video Quality Assessment / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 220, MI2020-45, pp. 60-61, Nov. 2020.
Paper # MI2020-45 
Date of Issue 2020-10-28 (MICT, MI) 
ISSN Print edition: ISSN 0913-5685  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 MICT2020-19 MI2020-45

Conference Information
Committee MICT MI  
Conference Date 2020-11-04 - 2020-11-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Medical imaging technology, healthcare and medical information communication technology 
Paper Information
Registration To MI 
Conference Code 2020-11-MICT-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An Experimental Study on Color Laparoscopic High-Definition Video Quality Assessment Including Super-resolution 
Sub Title (in English)  
Keyword(1) Laparoscopic Video  
Keyword(2) Super-Resolution Convolutional Neural Network (SRCNN)  
Keyword(3) Bit Rate  
Keyword(4) H.265/HEVC  
Keyword(5) Video Quality Assessment  
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Keyword(7)  
Keyword(8)  
1st Author's Name Norifumi Kawabata  
1st Author's Affiliation Tokyo University of Science (Tokyo Univ. of Science)
2nd Author's Name Toshiya Nakaguchi  
2nd Author's Affiliation Chiba University (Chiba Univ.)
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Speaker
Date Time 2020-11-04 15:50:00 
Presentation Time 20 
Registration for MI 
Paper # IEICE-MICT2020-19,IEICE-MI2020-45 
Volume (vol) IEICE-120 
Number (no) no.219(MICT), no.220(MI) 
Page pp.60-61 
#Pages IEICE-2 
Date of Issue IEICE-MICT-2020-10-28,IEICE-MI-2020-10-28 


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