個人の嗜好に基づいた画像検索

概要

論文の詳細を見る
When we examine goods with their pictures at online shops, regarding flowers and drawings, it is difficult to give proper keywords for retrieving goods pictures. To refer their pictures efficiently, image retrieval systems using adjectives called as Kansei words, which represent human feelings, impressions, etc., are proposed. However, since the current systems retrieve pictures without customers preferences, outputs disagree with the preferences. To cope with the problem, we propose an image retrieval system with Kansei words according to users preferences. Experimental results have shown the efficiencies of the proposed system comparing with performances of a conventional system.
社団法人電気学会の論文
2007-11-01