Feature Evaluation by Moe-Factor of ANIME Characters Images and its Application
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- KAWATANI Hirokazu
- Graduate school of Information Science and Technology, Hokkaido University
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- KASHIWAZAKI Hiroki
- Art Media Center, Tokyo University of the Arts
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- TAKAI Yoshiaki
- Information Initiative Center, Hokkaido University
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- TAKAI Nami
- Hokkaido Information University
Bibliographic Information
- Other Title
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- アニメにおける人物顔画像の萌え因子特徴評価と検索分類システムへの応用(ITS画像処理,映像メディア,視覚および一般)
- アニメにおける人物顔画像の萌え因子特徴評価と検索分類システムへの応用
- アニメ ニ オケル ジンブツ カオ ガゾウ ノ モエ インシ トクチョウ ヒョウカ ト ケンサク ブンルイ システム エ ノ オウヨウ
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Abstract
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.
Journal
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- ITE Technical Report
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ITE Technical Report 34.6 (0), 113-118, 2010
The Institute of Image Information and Television Engineers
