{"title":"切火柴辅助:移动系统自动切火柴过程使用计算机视觉","authors":"H. Zhou, Bhargav Parekh, Yu Sun","doi":"10.5121/csit.2019.91209","DOIUrl":null,"url":null,"abstract":"In film industry, camera angle and smooth transition between shots are very important and time-consuming manual process. Match Cut is most frequently used technique in this industry to achieve seamless transition. This paper proposes an app that offers solution to assist match cut technique using edge detection algorithm on mobile device. Users can use the app to take two different shots which can be used to match cut in future. It is helpful to take different shots without manual efforts and heavy equipment.","PeriodicalId":193900,"journal":{"name":"8th International Conference on Natural Language Processing (NLP 2019)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Matchcut Assist: A Mobile System to Automate Matchcut Process Using Computer Vision\",\"authors\":\"H. Zhou, Bhargav Parekh, Yu Sun\",\"doi\":\"10.5121/csit.2019.91209\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In film industry, camera angle and smooth transition between shots are very important and time-consuming manual process. Match Cut is most frequently used technique in this industry to achieve seamless transition. This paper proposes an app that offers solution to assist match cut technique using edge detection algorithm on mobile device. Users can use the app to take two different shots which can be used to match cut in future. It is helpful to take different shots without manual efforts and heavy equipment.\",\"PeriodicalId\":193900,\"journal\":{\"name\":\"8th International Conference on Natural Language Processing (NLP 2019)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"8th International Conference on Natural Language Processing (NLP 2019)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5121/csit.2019.91209\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"8th International Conference on Natural Language Processing (NLP 2019)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5121/csit.2019.91209","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Matchcut Assist: A Mobile System to Automate Matchcut Process Using Computer Vision
In film industry, camera angle and smooth transition between shots are very important and time-consuming manual process. Match Cut is most frequently used technique in this industry to achieve seamless transition. This paper proposes an app that offers solution to assist match cut technique using edge detection algorithm on mobile device. Users can use the app to take two different shots which can be used to match cut in future. It is helpful to take different shots without manual efforts and heavy equipment.