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InInVi SIGNED

Automatically Interactivised and Individualised Videos

Total Cost €

EC-Contrib. €

Partnership

Views

InInVi project word cloud

Explore the words cloud of the InInVi project. It provides you a very rough idea of what is the project "InInVi" about.

erc sensors purely provides dominate instance camera business commercial recognition visually demand tv view augmented mechanical augmentations limitations live proof assumption originates overlays ininvi create plane tracking transfer location animations video object fixed varcity qualitatively combined inflexible ar streaming solutions poc overcome

Project "InInVi" data sheet

The following table provides information about the project.

Coordinator	EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH Organization address address: Raemistrasse 101 city: ZUERICH postcode: 8092 website: https://www.ethz.ch/de.html contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	Switzerland [CH]
Total cost	149˙876 €
EC max contribution	149˙876 € (100%)
Programme	1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
Code Call	ERC-2015-PoC
Funding Scheme	ERC-POC
Starting year	2016
Duration (year-month-day)	from 2016-03-01 to 2017-08-31

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH Organization address address: Raemistrasse 101 city: ZUERICH postcode: 8092 website: https://www.ethz.ch/de.html contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	CH (ZUERICH)	coordinator	85˙601.00
2	UNIQFEED AG UNIQFEED AG Organization address address: TECHNOPARKSTRASSE 1 city: ZURICH postcode: 8005 website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	CH (ZURICH)	participant	64˙274.00

Map

Project objective

InInVi originates from augmented reality (AR) research within the ERC project VarCity. Our findings from VarCity of highly robust plane tracking combined with state-of-the-art object recognition enables very robust and qualitatively very high augmentations. In this PoC project, we transfer these findings into commercial applications in the live TV production business. Here, mechanical, inflexible solutions dominate to create overlays or AR animations, for instance step sensors to measure the field of view of a camera. As the purely visually operating proof-of-concept technology allows to overcome many of their limitations, e.g. high set-up costs or the assumption of a fixed camera location, it provides new opportunities in video-on-demand, live TV and live streaming.

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The information about "ININVI" are provided by the European Opendata Portal: CORDIS opendata.