Paper Abstract and Keywords |
Presentation |
2010-02-15 15:00
Feature Evaluation by Moe-Factor of ANIME Characters Images and its Application Hirokazu Kawatani (Hokkaido Univ.), Hiroki Kashiwazaki (Tokyo Univ. of the Arts), Yoshiaki Takai (Hokkaido Univ.), Nami Takai (Hokkaido Information Univ.) ITS2009-56 IE2009-150 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In recent years, Japanese animation works (ANIME) draw much attention as one of major digital contents in Japan. Particularly, a certain group of animation works called “Moe-ANIME” goes on increasing. In addition, to use a term of Moe, which means an inner situation where someone sets especial affections on the favorite cartoon character, is getting popular socially. Development of Moe-rerated product and its market becomes very active. Now it’s a key issue to meet the needs that we can easily search our favorite ANIME characters in a large database according to the individual criteria of Moe. In this paper, we present a feature extraction and Moe-factor evaluation method for a face image of Moe-ANIME cartoon characters. As an application of Moe feature analysis, we show an image data retrieval system for Moe-ANIME character image database. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
ANIME character / Moe-factor / layer division / feature extraction / image retrieval / / / |
Reference Info. |
IEICE Tech. Rep., vol. 109, no. 415, IE2009-150, pp. 113-118, Feb. 2010. |
Paper # |
IE2009-150 |
Date of Issue |
2010-02-08 (ITS, IE) |
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) |
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ITS2009-56 IE2009-150 |
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