Open AccessScaling up Cast Face Detection in Videos at Globo
Author(s) -
Felipe A. B. S. Ferreira,
B. P. de Oliveira,
Rodrigo V. Kassick,
Vinícius Furlan,
Hélio Lopes
Publication year - 2021
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5753/semish.2021.15816
Subject(s) - metadata , computer science , face (sociological concept) , entertainment , consumption (sociology) , entertainment industry , architecture , multimedia , world wide web , visual arts , art , social science , sociology , aesthetics
It has been recognized that a significant increase in the production and consumption of video content occurred in the last decade. Many entertainment companies, like Globo, face challenges regarding video metadata generation. The objective of this paper is to present a suitable architecture for the Globo Group to automatically identify actors that appear in each scene of a video stream, generating new metadata annotations that can be used by recommender systems and search engines among different other applications in this industry sector.