A software suite for large-scale video- and image-based analytics

Jasmin Leveille; Isao Hayashi

8th International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS)

Research Article

A software suite for large-scale video- and image-based analytics

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/icst.bict.2014.257778,
    author={Jasmin Leveille and Isao Hayashi},
    title={A software suite for large-scale video- and image-based analytics},
    proceedings={8th International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS)},
    publisher={ICST},
    proceedings_a={BICT},
    year={2015},
    month={2},
    keywords={data science video mining video analytics database},
    doi={10.4108/icst.bict.2014.257778}
}

Jasmin Leveille
Isao Hayashi
Year: 2015
A software suite for large-scale video- and image-based analytics
BICT
ACM
DOI: 10.4108/icst.bict.2014.257778

Jasmin Leveille^,*, Isao Hayashi¹

1: Faculty of Informatics, Kansai University

*Contact email: jalev51@gmail.com

Abstract

The recent proliferation of large video and image databases offers great potential for gaining a deeper understanding about changes in our environment. Although increased use and accessibility of cameras has reduced the difficulty and cost of collecting and storing large video datasets, software tools that support the mining and synthesis of information from these data are largely still lacking. We present a software suite intended to fill that gap; offering a user-friendly scalable database for image and video metadata storage, mining, and synthesis. This demonstration illustrates the user interface and overall workflow when using our software in a typical video analytics scenario.

Keywords: data science video mining video analytics database

Published: 2015-02-02
Publisher: ICST
Appears in: ACM Digital Library

: http://dx.doi.org/10.4108/icst.bict.2014.257778