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.
"Rewind: automatically generated digital memories from mobile geolocation data"
Summer Research Symposium.
Brown Digital Repository. Brown University Library.
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 …