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A word cloud is a visual representation of a collection of text documents that uses various font sizes, colors, and spaces to arrange and depict significant words. The majority of previous studies on time-varying word clouds focuses on layout optimization and temporal trend visualization. However, they do not fully consider the spatial shapes and temporal(More)
A novel content-aware warping approach is introduced for video retargeting. The key to this technique is adapting videos to fit displays with various aspect ratios and sizes while preserving both visually salient content and temporal coherence. Most previous studies solve this spatiotemporal problem by consistently resizing content in frames. This strategy(More)
Tourist and destination maps are thematic maps designed to represent specific themes in maps. The road network topologies in these maps are generally more important than the geometric accuracy of roads. A road network warping method is proposed to facilitate map generation and improve theme representation in maps. The basic idea is deforming a road network(More)
PrefixSpan is a pattern-growth method for mining sequential patterns, and it is employed in this research for identifying disease trajectory patterns based on frequent subsequence analysis. One of the most beneficial features of this algorithm is the maintainable characteristics of original data order, especially for effectively and efficiently searching(More)
Word art has characteristics of both text and an image by combining words into a collage that depicts an associated shape or object. This type of artwork has the unique perceptual property that when seen as a whole, it is perceived similar to an image, but when viewing a part, it can be read word by word. Thus word art can serve a dual purpose, efficiently(More)