{"title":"大型视频标引的比较研究","authors":"Ziyue Luo, Xiaoging Yu, Linxia Zhong","doi":"10.1049/CP.2017.0114","DOIUrl":null,"url":null,"abstract":"Video plays an important role in our daily life. But in most video websites such as YouTube, it is always a problem to classify millions of videos that are updated every day. So there is an urgent need to develop a classification algorithm to accurately assign labels to those videos. In this paper, we use Google Cloud Platform as our calculating environment and choose the new and improved YT-8M V2 as dataset. Based on these, we compare the estimation of distribution algorithm and the recurrent neural network algorithm, trace their accuracy, and finally find the more suitable one for this problem.","PeriodicalId":424212,"journal":{"name":"4th International Conference on Smart and Sustainable City (ICSSC 2017)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A comparative study on large-size video indexing\",\"authors\":\"Ziyue Luo, Xiaoging Yu, Linxia Zhong\",\"doi\":\"10.1049/CP.2017.0114\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Video plays an important role in our daily life. But in most video websites such as YouTube, it is always a problem to classify millions of videos that are updated every day. So there is an urgent need to develop a classification algorithm to accurately assign labels to those videos. In this paper, we use Google Cloud Platform as our calculating environment and choose the new and improved YT-8M V2 as dataset. Based on these, we compare the estimation of distribution algorithm and the recurrent neural network algorithm, trace their accuracy, and finally find the more suitable one for this problem.\",\"PeriodicalId\":424212,\"journal\":{\"name\":\"4th International Conference on Smart and Sustainable City (ICSSC 2017)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"4th International Conference on Smart and Sustainable City (ICSSC 2017)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1049/CP.2017.0114\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"4th International Conference on Smart and Sustainable City (ICSSC 2017)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1049/CP.2017.0114","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Video plays an important role in our daily life. But in most video websites such as YouTube, it is always a problem to classify millions of videos that are updated every day. So there is an urgent need to develop a classification algorithm to accurately assign labels to those videos. In this paper, we use Google Cloud Platform as our calculating environment and choose the new and improved YT-8M V2 as dataset. Based on these, we compare the estimation of distribution algorithm and the recurrent neural network algorithm, trace their accuracy, and finally find the more suitable one for this problem.
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