Automatically Organizing Digital Photographs Using Time and Content

Abstract

We present similarity-based methods to cluster digital photos
by time and image content. This approach is general, unsupervised, and makes minimal assumptions regarding
the structure or statistics of the photo collection. We describe versions of the algorithm using temporal similarity
with and without content-based similarity, and compare the
algorithms with existing techniques, measured against
ground-truth clusters created by humans.