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Understanding Videos Automatically with the SensifAI Deep Learning Technology

Project description

Automated tagging of audio and visual content paves the way for pioneering advances

Search engines have ushered in a new era of knowledge with their ability to find information on any topic within fractions of a second. Text-based searching is relatively straightforward. Enabling searches for video content is much harder. The Belgian SME Sensifai has developed pioneering audiovisual deep-learning technology that recognises audio and video content and tags videos accurately. The EU-funded SensifAI project is helping the team prepare for commercialisation. The product will revolutionise the way we search for video content and open the door to applications from automated screening of inappropriate or dangerous content to real-time descriptions of captured video that support those with vision or hearing impairment.

Call for proposal

H2020-EIC-SMEInst-2018-2020

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Sub call

H2020-SMEInst-2018-2020-1

Coordinator

SENSIFAI
Net EU contribution
€ 50 000,00
Address
Dreve De Nivelles 182/9
1160 Brussels
Belgium

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Region
Région de Bruxelles-Capitale/Brussels Hoofdstedelijk Gewest Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest Arr. de Bruxelles-Capitale/Arr. Brussel-Hoofdstad
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Non-EU contribution
€ 21 429,00