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Author Jacobs, Nathan ♦ Roman, Nathaniel ♦ Pless, Robert
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Consistent Temporal Variation ♦ Consistent Correlation ♦ Entire Image ♦ Static Camera ♦ Comparable Component ♦ Annotate Image ♦ Simple Second-order Statistic ♦ Data Set ♦ Slight Variant ♦ Paper Detail ♦ Time Scale ♦ Large Image Set ♦ Generic Natural Image ♦ Empirical Study ♦ Many Outdoor Scene ♦ Seasonal Change ♦ Image Set ♦ United State
Description This paper details an empirical study of large image sets taken by static cameras. These images have consistent correlations over the entire image and over time scales of days to months. Simple second-order statistics of such image sets show vastly more structure than exists in generic natural images or video from moving cameras. Using a slight variant to PCA, we can decompose all cameras into comparable components and annotate images with respect to surface orientation, weather, and seasonal change. Experiments are based on a data set from 538 cameras across the United States which have collected more than 17 million images over the the last 6 months. 1.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2007-01-01
Publisher Institution In Proc. IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis,MN