ユーザの意向に適応する多入力画像検索

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2021/04/01

タイトル(英語): Multi-Input Query Image Retrieval That is Adaptive to User's Intention

著者名: 三井　駿（東京電機大学大学院工学研究科電気電子工学専攻），和田　成夫（東京電機大学大学院工学研究科電気電子工学専攻）

著者名(英語): Shun Mitsui (Course of Electrical and Electronics Engineering, Graduate School of Engineering, Tokyo Denki University), Shigeo Wada (Course of Electrical and Electronics Engineering, Graduate School of Engineering, Tokyo Denki University)

キーワード: 画像特徴，内容に基づく画像検索，動画像検索，多入力問い合わせ，関連性フィードバック　　image feature，content-based image retrieval，video retrieval，multi-input query，relevance feedback

要約(英語): In this paper, a new approach for image retrieval that is adaptive to user's intention is proposed. Because image content has so many interpretations to represent by a word, CBIR has been developed as a powerful tool for image retrieval. The conventional CBIR searches and sorts images where retrieved image is similar to a query input image. The retrieval works well when features of appropriate query input image are extracted. However, it is difficult to prepare the optimal feature as well as query image that corresponds to user's desired still image and/or video content.To solve the problems, a new similarity measure using score function for multi-input query is proposed. Further, an iterative algorithm to adapt user's intention with feedback structure is implemented as user friendly interface in retrieval process. To show the effectiveness of our method, various image retrievals using mixed still image and video were executed. The precision rate was calculated to evaluate the performance of image retrieval. High performance image retrieval was achieved compared with the conventional image retrieval approach.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.141 No.4 （2021） 特集：量子・情報・エレクトロニクス医療インタフェース

本誌掲載ページ: 592-601 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/141/4/141_592/_article/-char/ja/