title: Tree-Based Visualization and Optimization for Image Collection.
abstract: The visualization of an image collection is the process of displaying a collection of images on a screen under some specific layout requirements. This paper focuses on an important problem that is not well addressed by the previous methods: visualizing image collections into arbitrary layout shapes while arranging images according to user-defined semantic or visual correlations (e.g., color or object category). To this end, we first propose a property-based tree construction scheme to organize images of a collection into a tree structure according to user-defined properties. In this way, images can be adaptively placed with the desired semantic or visual correlations in the final visualization layout. Then, we design a two-step visualization optimization scheme to further optimize image layouts. As a result, multiple layout effects including layout shape and image overlap ratio can be effectively controlled to guarantee a satisfactory visualization. Finally, we also propose a tree-transfer scheme such that visualization layouts can be adaptively changed when users select different "images of interest." We demonstrate the effectiveness of our proposed approach through the comparisons with state-of-the-art visualization techniques.
authors.forename: Xintong
authors.initials: X
authors.lastname: Han
authors.forename: Chongyang
authors.initials: C
authors.lastname: Zhang
authors.forename: Weiyao
authors.initials: W
authors.lastname: Lin
authors.forename: Mingliang
authors.initials: M
authors.lastname: Xu
authors.forename: Bin
authors.initials: B
authors.lastname: Sheng
authors.forename: Tao
authors.initials: T
authors.lastname: Mei