Hyper-lapse from Multiple Spatially-overlapping Videos

by Miao Wang Jun-Bang Liang Song-Hai Zhang Shao-Ping Lu Ariel Shamir Shi-Min Hu

Abstract

Hyper-lapse video with high speed-up rate is an efficient way to overview long videos such as a human activity in first-person view. Existing hyper-lapse video creation methods produce a fast-forward video effect using only one video source. In this work, we present a novel hyper-lapse video creation approach based on multiple spatially-overlapping videos. We assume the videos share a common view or location, and find transition points where jumps from one video to another may occur. We represent the collection of videos using a hyper-lapse transition graph; the edges between nodes represent possible hyper-lapse frame transitions. To create a hyper-lapse video, a shortest path search is performed on this digraph to optimize frame sampling and assembly simultaneously. Finally, we render the hyper-lapse results using video stabilization and appearance smoothing techniques on the selected frames. Our technique can synthesize novel virtual hyper-lapse routes which may not exist originally. We show various application results on both indoor and outdoor video collections with static scenes, moving objects, and crowds.