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Paper Abstract and Keywords
Presentation 2020-02-27 13:00
Video Coding Using Optimal Intra Prediction Mode Estimation by CNN
Ryota Yokoyama, Masahiko Tahara (Waseda Univ.), Heming Sun (Waseda Univ./JST), Masaru Takeuchi (Waseda Univ.), Yasutaka Matsuo (NHK), Jiro Katto (Waseda Univ.) ITS2019-33 IE2019-71
Abstract (in Japanese) (See Japanese page) 
(in English) These days, efficient video coding is required due to spread of video production and viewing, and high definition video. In order to select the Rate-Distortion (RD) optimized intra prediction mode, RD cost is used in High Efficiency Video Coding Test Model (HM). However, since calculation of RD cost is computationally intensive, intra prediction modes are filtered to the candidates for RD cost calculation by alternative cost calculation or Most Probable Mode (MPM) with low computational complexity. We introduce video coding using MPMs obtained by Convolutional Neural Network (CNN). As experimental results, we confirmed that our method achieve higher accuracy in optimal intra prediction mode estimation and 0.16% reduction in Y BD-Rate, compared to HM.
Keyword (in Japanese) (See Japanese page) 
(in English) Intra prediction / Convolutional Neural Network (CNN) / Most Probable Mode (MPM) / Video coding / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 422, IE2019-71, pp. 171-176, Feb. 2020.
Paper # IE2019-71 
Date of Issue 2020-02-20 (ITS, IE) 
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)
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Conference Information
Committee ITE-HI IE ITS ITE-MMS ITE-ME ITE-AIT  
Conference Date 2020-02-27 - 2020-02-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image Processing, etc. 
Paper Information
Registration To IE 
Conference Code 2020-02-HI-IE-ITS-MMS-ME-AIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Video Coding Using Optimal Intra Prediction Mode Estimation by CNN 
Sub Title (in English)  
Keyword(1) Intra prediction  
Keyword(2) Convolutional Neural Network (CNN)  
Keyword(3) Most Probable Mode (MPM)  
Keyword(4) Video coding  
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1st Author's Name Ryota Yokoyama  
1st Author's Affiliation Waseda University (Waseda Univ.)
2nd Author's Name Masahiko Tahara  
2nd Author's Affiliation Waseda University (Waseda Univ.)
3rd Author's Name Heming Sun  
3rd Author's Affiliation Waseda University/Japan Science and Technology Agency (Waseda Univ./JST)
4th Author's Name Masaru Takeuchi  
4th Author's Affiliation Waseda University (Waseda Univ.)
5th Author's Name Yasutaka Matsuo  
5th Author's Affiliation Japan Broadcasting Corporation (NHK)
6th Author's Name Jiro Katto  
6th Author's Affiliation Waseda University (Waseda Univ.)
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Speaker Author-1 
Date Time 2020-02-27 13:00:00 
Presentation Time 15 minutes 
Registration for IE 
Paper # ITS2019-33, IE2019-71 
Volume (vol) vol.119 
Number (no) no.421(ITS), no.422(IE) 
Page pp.171-176 
#Pages
Date of Issue 2020-02-20 (ITS, IE) 


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