Concept based image structuring method using texts and Kansei information

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  • 周辺テキストおよび感性情報に基づく形式概念分析を用いた画像群の概念構造化
  • シュウヘン テキスト オヨビ カンセイ ジョウホウ ニ モトズク ケイシキ ガイネン ブンセキ オ モチイタ ガゾウグン ノ ガイネン コウゾウカ

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A system of structuring images gathered by Google image search API and the neighbor texts using Formal Concept Analysis (FCA), is developed. Due to the variety of texts, it is difficult to do the clustering the images based on similarities. In order to solve the problem, we propose a method of adding adjectives to images based on classifiers. The classifiers are constructed through the learning process using training data which includes images and corresponding adjectives. We perform experiments using Google image retrieval system and confirm the effectiveness of the proposed method.

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