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Abstract Dynamic events such as
family gatherings, concerts or sports events are often
captured by a group of people. The set of still images obtained this
way is rich in dynamic content but lacks accurate temporal information.
We
propose a method for photo-sequencing - temporally ordering a set of
still
images taken asynchronously by a set of uncalibrated cameras.
Photo-sequencing is an essential tool in analyzing (or visualizing) a
dynamic scene
captured by still images. The first step of the method detects sets of
corresponding static and dynamic feature points across images.
The
static features are used to determine the epipolargeometry between
pairs
of images, and each dynamic feature votes for the temporal
order of
the images in which it appears. The partial orders provided by the
dynamic
features are not necessarily consistent, and we use rank
aggregation to
combine them into a globally consistent tem-poral order of images.
We demonstrate successful photo sequencing on several
challenging
collections of images taken using a number of mobile phones.
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