Self-Sorting Map: An Efficient Algorithm for Presenting Multimedia Data in Structured Layouts

Visualizing proportions and dissimilarities by Space-filling maps: A Large Neighborhood Search approach

“…Grid structures are commonly used in Reserve Network design to arrange a connected union of sites to protect ecosystems and species [31,43,44]. Since the grid layout provides a well-structured and compact representation, it has been also used in visualization map designs as in [26,39,55], and in Facility Layout as a tool to easily measure the area of the facilities [34]. Definition 1.…”

“…Treemaps are space-filling layouts which represent exactly the statistical values as the area of the rectangles but, in general, they fail to properly represent dissimilarities. Other attempts, such as [6,17,26,27,39,55], either disregard dissimilarities or proportions, or they are not space-filling visualization maps. In [5,20], space-filling rectangular maps are proposed, which take into consideration both dissimilarities and proportions.…”

Tree-Based Visualization and Optimization for Image Collection

“…he visualization of an image collection is the process of displaying a collection of images on a screen under some specific layout requirements, such as layout shape [2,3,9,11,20,31], image size [2,4,11], overlap among images [2,[6][7][8], and so on. With the rapid growth of digital image content, it is of increasing importance to effectively visualize the huge amount of image collections.…”

“…For example, one wants to create a collage of vacation photos, summarize image search results of a given query, or design a poster including logos of the world's top 50 largest companies. Although many algorithms have been proposed for image collection visualization [1][2][3][4][5][6][7][8][9][10][11][12][13][14][20][21], the Xintong Han, Chongyang Zhang, Weiyao Lin, Mingliang Xu, Bin Sheng, and Tao Mei Tree-based Visualization and Optimization for Image Collection T (a) Input Image Collection (b) Shape Collage [9] (c) Picasa Mosaic Collage [12] (d) Autocollage [3] (e) Ours (with a rectangular shape) (f) Ours (with a circle shape) (g) The updated collage when the circle image (h) The updated collage when the triangle image in (f) is selected as the image of interest in (f) is selected as the image of interest following challenging problems still need to be addressed.  Visualizing into arbitrary layout shapes.…”

“…In many image visualization applications, people may often want images to be visualized into arbitrary shapes such that various layout effects can be created. However, most existing visualization techniques only focus on fixed layouts (e.g., rectangle) which cannot be extended to arbitrary shapes [3,12,14,20,21]. Although some methods [9,19,25,26] can create various layout shapes, they still have limitations in avoiding the overlap among images and precisely controlling the correlations among images.…”