F. Ferreira, Bruno P. Oliveira, Rodrigo Kassick, V. Furlan, Hélio Lopes
{"title":"在Globo视频中扩大演员面部检测","authors":"F. Ferreira, Bruno P. Oliveira, Rodrigo Kassick, V. Furlan, Hélio Lopes","doi":"10.5753/SEMISH.2021.15816","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":206312,"journal":{"name":"Anais do XLVIII Seminário Integrado de Software e Hardware (SEMISH 2021)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Scaling up Cast Face Detection in Videos at Globo\",\"authors\":\"F. Ferreira, Bruno P. Oliveira, Rodrigo Kassick, V. Furlan, Hélio Lopes\",\"doi\":\"10.5753/SEMISH.2021.15816\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":206312,\"journal\":{\"name\":\"Anais do XLVIII Seminário Integrado de Software e Hardware (SEMISH 2021)\",\"volume\":\"83 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Anais do XLVIII Seminário Integrado de Software e Hardware (SEMISH 2021)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5753/SEMISH.2021.15816\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Anais do XLVIII Seminário Integrado de Software e Hardware (SEMISH 2021)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5753/SEMISH.2021.15816","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.
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