In this demonstration, we show an automated mobile video mashup system that takes a set of videos filming the same scene as input, and generate an output mashup video consisting of temporally coherent clips selected from these input videos. The key difference of our system over the existing state-of-the-art is that it can generate virtual close-up shots and three camera operations: zooming in, zooming out, and panning, automatically. To achieve this, the system first computes the motion maps of the input videos and then determines a set of rectangles that correspond to highly interesting regions (in terms of motion). The choice of which shot types to use is done heuristically, ensuring diversity and coherency in the content presented in the mashup.