Concurrent photo sequence organization

Abstract

Personal photo album organization is a highly demanding domain where advanced tools are required to manage large photo collections. In contrast to many previous works, that try to solve the problem of organizing a single user photo sequence, we present a new technique to account for the concurrent photo sequence organization problem, that is the problem of organizing multiple photo sequences taken during the same event. Given a set of sequences acquired at the same place during the same temporal window by several users using different cameras, our framework is intended to capture the evolution of the event and groups photos based on temporal proximity and visual content. The method automatically organizes the reference sequence in a tree capturing the event structure. Such a structure is then used to align the remaining photo sequences to the reference one. We tested our approach on the publicly available Gallagher dataset and on a new dataset we collected; this new dataset is composed of four photo sequences taken by four users at a public event. Results demonstrate the effectiveness of our method.