Large Image Collections – Comprehension and Familiarization by Interactive Visual Analysis

Matković, Krešimir; Gračanin, Denis; Freiler, W.; Banova, Jana; Hauser, Helwig

doi:10.1007/978-3-642-02115-2_2

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Cited by 4 publications

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“…The Semantic Image Browser [YFH*06] makes a two‐dimensional MDS plot of images based on concept similarities, so similar images are placed close to each other. Matković et al [MGF*09] use multiple coordinated views and brushing to show relations between attributes along with the corresponding images. MediaTable [dRWvW10] visualizes all image properties in one big table.…”

Section: Related Workmentioning

confidence: 99%

Comparing Personal Image Collections with PICTuReVis

Corput

Wijk

2017

Computer Graphics Forum

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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.

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Section: Related Workmentioning

confidence: 99%