Videolytics: System for Data Analytics of Video Streams

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10433261" target="_blank" >RIV/00216208:11320/21:10433261 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Videolytics: System for Data Analytics of Video Streams

Original language description

We present Videolytics, a web-based system for advanced analytics over recorded video streams. Video cameras have become widely used for indoor and outdoor surveillance. Covering even more public space in cities, the cameras serve various purposes ranging from security to traffic monitoring, urban life, and marketing. The goal is to obtain effective and efficient models to process the video data automatically and produce the desired features for data analytics. Videolytics combines the best of deep learning and hand-designed analytical models to create a solution applicable in real-life situations. The architecture of the Videolytics framework is centered around a database of video features and detected objects, where new higher-level objects result from fusion of (lower-level) objects and features already stored in the database. The system provides a number of visualization options, an SQL-based analytics module as well as a real-time surveillance mode.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

CIKM &apos;21: Proceedings of the 30th ACM International Conference on Information &amp; Knowledge Management

ISBN

978-1-4503-8446-9

ISSN

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e-ISSN

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Number of pages

5

Pages from-to

4794-4798

Publisher name

ACM

Place of publication

New York, NY, USA

Event location

Gold Coast, Queensland, Australia

Event date

Nov 1, 2021

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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