Comparing personal image collections with PICTuReVis

P.N.A. van der Corput; J.J. van Wijk

doi:10.1111/cgf.13188

Comparing personal image collections with PICTuReVis

P.N.A. van der Corput, J.J. van Wijk

Research output: Contribution to journal › Article › Academic › peer-review

6 Citations (Scopus)

183 Downloads (Pure)

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.

Original language	English
Pages (from-to)	295-304
Number of pages	10
Journal	Computer Graphics Forum
Volume	36
Issue number	3
DOIs	https://doi.org/10.1111/cgf.13188
Publication status	Published - Jun 2017

Keywords

Categories and Subject Descriptors (according to ACM CCS)
H5.2 [Information Systems]: User Interfaces—Graphical user interfaces
H5.2 [Information Systems]: User Interfaces—Interaction styles

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1111/cgf.13188

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Cite this

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year = "2017",

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AU - van der Corput, P.N.A.

AU - van Wijk, J.J.

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AB - 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.

KW - Categories and Subject Descriptors (according to ACM CCS)

KW - H5.2 [Information Systems]: User Interfaces—Graphical user interfaces

KW - H5.2 [Information Systems]: User Interfaces—Interaction styles

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IS - 3

ER -

Comparing personal image collections with PICTuReVis

Abstract

Keywords

UN SDGs

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