CAT: 大量画像の一覧可視化と詳細度制御の一手法

CAT: A Hierarchical Image Browser Using a Rectangle Packing Technique



五味 愛 Ai Gomi お茶の水女子大学大学院
伊藤 貴之 Takayuki Itoh お茶の水女子大学大学院
宮崎 麗子 Reiko Miyazaki お茶の水女子大学大学院
Jia Li Jia Li Computer Science and Engineering, The Pennsylvania State University


This poster proposes CAT (Clustered Album Thumbnail), a technique for browsing large image collections, and its interface for controlling the level of details. This new system clusters images according to their keywords and pixel values, and selects representative images for each cluster. It then visualizes the clusters by applying a hierarchical data visualization technique, which represents the hierarchical clusters as nested rectangular regions, and arranges individual images in grid layout inside the regions. We argue that such an operation is friendly for users to explore and search for specific images from huge image collections, because the users are familiar with the Graphical User Interfaces (GUI) for file systems in a top-down manner.


情報可視化 詳細度制御 画像一覧表示