{"title":"自动调整和发布电视内容,以提高有效性和效率","authors":"Basil Philipp, K. Ciesielski, L. Nixon","doi":"10.1145/3347449.3357487","DOIUrl":null,"url":null,"abstract":"By automatically adapting TV content for publication on secondary channels, we aim to increase user engagement and at the same time reduce the manual effort for broadcasters. We present a system architecture for automatic content adaptation and two distinct use cases built on top of it.","PeriodicalId":276496,"journal":{"name":"Proceedings of the 1st International Workshop on AI for Smart TV Content Production, Access and Delivery","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Automatically Adapting and Publishing TV Content for Increased Effectiveness and Efficiency\",\"authors\":\"Basil Philipp, K. Ciesielski, L. Nixon\",\"doi\":\"10.1145/3347449.3357487\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"By automatically adapting TV content for publication on secondary channels, we aim to increase user engagement and at the same time reduce the manual effort for broadcasters. We present a system architecture for automatic content adaptation and two distinct use cases built on top of it.\",\"PeriodicalId\":276496,\"journal\":{\"name\":\"Proceedings of the 1st International Workshop on AI for Smart TV Content Production, Access and Delivery\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 1st International Workshop on AI for Smart TV Content Production, Access and Delivery\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3347449.3357487\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 1st International Workshop on AI for Smart TV Content Production, Access and Delivery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3347449.3357487","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automatically Adapting and Publishing TV Content for Increased Effectiveness and Efficiency
By automatically adapting TV content for publication on secondary channels, we aim to increase user engagement and at the same time reduce the manual effort for broadcasters. We present a system architecture for automatic content adaptation and two distinct use cases built on top of it.