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

著者/Authors

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

概要/Abstract

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.

キーワード/Keywords

情報可視化詳細度制御画像一覧表示