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Comparing Personal Image Collections with PICTuReVis
Author(s) -
van der Corput Paul,
van Wijk Jarke J.
Publication year - 2017
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/cgf.13188
Subject(s) - computer science , visualization , image (mathematics) , parameterized complexity , trace (psycholinguistics) , information retrieval , digital image , computer graphics (images) , artificial intelligence , computer vision , image processing , algorithm , philosophy , linguistics
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.