Seeing the arrow of time
Name
Freeman_Seeing the arrow.pdf
Size
1.32 MB
Format
Adobe PDF
Checksum (MD5)
62b0610c7d5ff681158b2b1835b43f11
Author(s)
Pickup, Lyndsey C.
Pan, Zheng
Wei, Donglai
Shih, YiChang
Zhang, Changshui
Zisserman, Andrew
Scholkopf, Bernhard
Freeman, William T.
Date Issued
June 2014
Journal
IEEE Conference on Computer Vision and Pattern Recognition
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Pickup, Lyndsey C., Zheng Pan, Donglai Wei, et al. "Seeing the arrow of time." IEEE Conference on Computer Vision and Pattern Recognition, Greater Columbus Convention Center, June 24-27, 2014, Columbus, Ohio. pp.1-8.
Version
Author's final manuscript
Abstract
We explore whether we can observe Time’s Arrow in a temporal sequence–is it possible to tell whether a video is running forwards or backwards? We investigate this somewhat philosophical question using computer vision and machine learning techniques. We explore three methods by which we might detect Time’s Arrow in video sequences, based on distinct ways in which motion in video sequences might be asymmetric in time. We demonstrate good video forwards /backwards classification results on a selection of YouTube video clips, and on natively-captured sequences (with no temporally-dependent video compression), and examine what motions the models have learned that help discriminate forwards from backwards time.
Description
URL to conference program
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
http://www.pamitc.org/cvpr14/program.php
