Photo-Sequencing

author: Tali Basha, Tel-Aviv University
chairman: Bernt Schiele, Max Planck Institut Informatik, Max Planck Institute
chairman: David Forsyth, Department of Computer Science, University of Illinois at Urbana-Champaign
published: Nov. 12, 2012,   recorded: October 2012,   views: 2074
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Description

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 epipolar geometry 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 temporal 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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Download slides icon Download slides: eccv2012_basha_photo_01.pdf (6.3┬áMB)


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Reviews and comments:

Comment1 Francis, December 27, 2012 at 12:03 p.m.:

Just saw a blog interview with Tali here

http://blog.videolectures.net/tali-ba...

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