Paper Abstract and Keywords |
Presentation |
2022-09-16 15:45
An image restoration method for lecture videos with projected lecture slides Yuma Ito, Masato Kikuchi, Tadachika Ozono (NIT) AI2022-32 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The lecturers can use their body movements and gestures in the lectures with slides displayed using a projector in the real world.
However, recording these slides with a video camera has issues with the visibility of the slides.
Our previous study improves the quality of the lecture slides in videos by overlapping the digital slides in the virtual space with the projected slides in the real space.
In addition, we realized writing on the virtual slides with real stationery.
However, there was room for improvement in the visibility of the handwritten content.
The purpose of this paper is to restore the projected slides to the original slides to improve the image quality.
We propose a method to improve the image quality by adjusting pixel values of projected slides based on white color.
In evaluation experiment, out method verified an improvement in the image quality by comparing original projected slides with the restored slides. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Image Processing / Convolutional Neural Network / Lecture Video Making Support / High Resolution / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 186, AI2022-32, pp. 79-84, Sept. 2022. |
Paper # |
AI2022-32 |
Date of Issue |
2022-09-08 (AI) |
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) |
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AI2022-32 |
Conference Information |
Committee |
AI |
Conference Date |
2022-09-15 - 2022-09-16 |
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(See Japanese page) |
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Paper Information |
Registration To |
AI |
Conference Code |
2022-09-AI |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
An image restoration method for lecture videos with projected lecture slides |
Sub Title (in English) |
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Keyword(1) |
Image Processing |
Keyword(2) |
Convolutional Neural Network |
Keyword(3) |
Lecture Video Making Support |
Keyword(4) |
High Resolution |
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1st Author's Name |
Yuma Ito |
1st Author's Affiliation |
Nagoya Institute of Technology (NIT) |
2nd Author's Name |
Masato Kikuchi |
2nd Author's Affiliation |
Nagoya Institute of Technology (NIT) |
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Tadachika Ozono |
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Nagoya Institute of Technology (NIT) |
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Speaker |
Author-1 |
Date Time |
2022-09-16 15:45:00 |
Presentation Time |
20 minutes |
Registration for |
AI |
Paper # |
AI2022-32 |
Volume (vol) |
vol.122 |
Number (no) |
no.186 |
Page |
pp.79-84 |
#Pages |
6 |
Date of Issue |
2022-09-08 (AI) |
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