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Authors: Rafael Pena 1 ; Felipe A. Ferreira 1 ; Frederico Caroli 2 ; Luiz Schirmer 1 and Hélio Lopes 1

Affiliations: 1 Pontifícia Universidade Católica do Rio de Janeiro, Brazil ; 2 Globo.com, Rio de Janeiro, Brazil

Keyword(s): Computer Vision, Face Recognition, Video Meta-data.

Abstract: The amount of recorded video in the world is increasing a lot due not only to the humans interests and habits regarding this kind of media, but also the diversity of devices used to create them. However, there is a lack of information about video content because generating video meta-data is complex. It requires too much time to be performed by humans, and from the technology perspective, it is not easy to overcome obstacles regarding the huge amount and diversity of video frames. The manuscript proposes an automated face recognition system to detect soap opera characters within videos, called Globo Face Stream. It was developed to recognize characters, in order to increase video meta-data. It combines standard computer vision techniques to improved accuracy by processing existing models output data in a complementary manner. The model performed accurately using a real life dataset from a large media company.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Pena, R., Ferreira, F. A., Caroli, F., Schirmer, L. and Lopes, H. (2020). Globo Face Stream: A System for Video Meta-data Generation in an Entertainment Industry Setting. In Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-423-7; ISSN 2184-4992, SciTePress, pages 350-358. DOI: 10.5220/0009380203500358

@conference{iceis20,
author={Rafael Pena and Felipe A. Ferreira and Frederico Caroli and Luiz Schirmer and Hélio Lopes},
title={Globo Face Stream: A System for Video Meta-data Generation in an Entertainment Industry Setting},
booktitle={Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2020},
pages={350-358},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009380203500358},
isbn={978-989-758-423-7},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Globo Face Stream: A System for Video Meta-data Generation in an Entertainment Industry Setting
SN - 978-989-758-423-7
IS - 2184-4992
AU - Pena, R.
AU - Ferreira, F.
AU - Caroli, F.
AU - Schirmer, L.
AU - Lopes, H.
PY - 2020
SP - 350
EP - 358
DO - 10.5220/0009380203500358
PB - SciTePress

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