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Rewind: automatically generated digital memories from mobile geolocation data


We introduce Rewind, a system that automatically recreates interactive scenes of past trips. Rewind uses historical geolocation data to generate egocentric sequences of images of earlier experiences from publicly available street-level images. Images used in Rewind are manipulated to incorporate time-of-day, seasonal, and weather information, thereby creating more faithful representation of the original experience to maximize the memory cues for the user. Together, the composed Rewind offers users a window into past travels.


Tan, Neille-Ann, "Rewind: automatically generated digital memories from mobile geolocation data" (2017). Summer Research Symposium. Brown Digital Repository. Brown University Library.



  • Summer Research Symposium

    Each year, Brown University showcases the research of its undergraduates at the Summer Research Symposium. More than half of the student-researchers are UTRA recipients, while others receive funding from a variety of Brown-administered and national programs and fellowships and go …