Comparing Personal Image Collections with PICTuReVis
Abstract
Digital image collections contain a wealth of information, which for instance can be used to trace illegal activities and investigate criminal networks. We present a method that enables analysts to reveal relations among people, based on the patterns in their collections. Similar temporal and spatial patterns can be found using a parameterized algorithm, visualization is used to choose the right parameters and to inspect the patterns found. The visualization shows relations between image properties: the person it belongs to, the concepts in the image, its time stamp and location. We demonstrate the method with image collections of 10;000 people containing 460;000 images in total.
BibTeX
@article {10.1111:cgf.13188,
journal = {Computer Graphics Forum},
title = {{Comparing Personal Image Collections with PICTuReVis}},
author = {Corput, Paul van der and Wijk, Jarke J. van},
year = {2017},
publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
ISSN = {1467-8659},
DOI = {10.1111/cgf.13188}
}
journal = {Computer Graphics Forum},
title = {{Comparing Personal Image Collections with PICTuReVis}},
author = {Corput, Paul van der and Wijk, Jarke J. van},
year = {2017},
publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
ISSN = {1467-8659},
DOI = {10.1111/cgf.13188}
}