Shoichi Furukawa, Takuya Kato, Pavel A. Savkin, S. Morishima
{"title":"视频重洗牌:无需事先了解即可自动进行视频配音","authors":"Shoichi Furukawa, Takuya Kato, Pavel A. Savkin, S. Morishima","doi":"10.1145/2945078.2945097","DOIUrl":null,"url":null,"abstract":"Numerous video have been translated using \"dubbing,\" spurred by the recent growth of video market. However, it is very difficult to achieve the visual-audio synchronization. That is to say in general a new audio does not synchronize with actor's mouth motion. This discrepancy can disturb comprehension of video contents. There-fore many methods have been researched so far to solve this problem.","PeriodicalId":417667,"journal":{"name":"ACM SIGGRAPH 2016 Posters","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Video reshuffling: automatic video dubbing without prior knowledge\",\"authors\":\"Shoichi Furukawa, Takuya Kato, Pavel A. Savkin, S. Morishima\",\"doi\":\"10.1145/2945078.2945097\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Numerous video have been translated using \\\"dubbing,\\\" spurred by the recent growth of video market. However, it is very difficult to achieve the visual-audio synchronization. That is to say in general a new audio does not synchronize with actor's mouth motion. This discrepancy can disturb comprehension of video contents. There-fore many methods have been researched so far to solve this problem.\",\"PeriodicalId\":417667,\"journal\":{\"name\":\"ACM SIGGRAPH 2016 Posters\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM SIGGRAPH 2016 Posters\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2945078.2945097\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM SIGGRAPH 2016 Posters","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2945078.2945097","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Video reshuffling: automatic video dubbing without prior knowledge
Numerous video have been translated using "dubbing," spurred by the recent growth of video market. However, it is very difficult to achieve the visual-audio synchronization. That is to say in general a new audio does not synchronize with actor's mouth motion. This discrepancy can disturb comprehension of video contents. There-fore many methods have been researched so far to solve this problem.