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The passenger flow data of urban rail transit (URT) network has the characteristics of large scale, fast-update, multi-mode, difficult to identify and great value, the same as Big Data. It is meaningful and effective to use big data visualization in passenger flow analysis. In this paper, with high visualization frameworks, the massive data of passenger flow in Shanghai Metro network is highly graphical...
In this paper, we present a novel gesture recognition method for synthesizing cartoons from existing two dimensional cartoon data. Drawing inspiration from cross media community, human-subject images are acted as the queries here to retrieve cartoon images containing similar gestures. Optimal descriptors are assigned to express features of cartoon and human-subject images based on their characteristics,...
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