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RESEARCH PRODUCT

Implementing a Face Recognition System for Media Companies

Elita CiruleKārlis FreivaldsArturs Sprogis

subject

EntertainmentComputer scienceMedia monitoringAgency (sociology)languageLatvianFacial recognition systemData scienceImplementationlanguage.human_language

description

During the past few years face recognition technologies have greatly benefited from the huge progress in machine learning and now have achieved precision rates that are even comparable with humans. This allows us to apply face recognition technologies more effectively for a number of practical problems in various businesses like media monitoring, security, advertising, entertainment that we previously were not able to do due to low precision rates of existing face recognition technologies. In this paper we discuss how to build a face recognition system for media companies and share our experience gained from implementing one for Latvian national news agency LETA. Our contribution is: which technologies to use, how to build a practical training dataset, how large should it be, how to deal with unknown persons.

yearjournalcountryeditionlanguage
2018-01-01
https://doi.org/10.1007/978-3-319-97571-9_26