{"title":"VIFECO:一个用于计算视频特征的开源软件","authors":"P. Apparicio, David Maignan, Jérémy Gelb","doi":"10.5334/JORS.300","DOIUrl":null,"url":null,"abstract":"The aim of this article is to describe an open-source application (Vifeco) that makes it possible to manually identify features on a video. Vifeco also allows to: manage the number of users, create a category (feature) and a collection of categories, read video and identify the features on it, and analyze the counting concordance between two users. Written in Java 11 with the JavaFX UI toolkit, Vifeco is a stand-alone, multiplatform (Windows, Mac and Linux) and multi-language (3 languages supported) application. The software is available under Apache Licence on GitHub ( https://github. com/LAEQ/vifeco ).","PeriodicalId":37323,"journal":{"name":"Journal of Open Research Software","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"VIFECO: An Open-Source Software for Counting Features on a Video\",\"authors\":\"P. Apparicio, David Maignan, Jérémy Gelb\",\"doi\":\"10.5334/JORS.300\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The aim of this article is to describe an open-source application (Vifeco) that makes it possible to manually identify features on a video. Vifeco also allows to: manage the number of users, create a category (feature) and a collection of categories, read video and identify the features on it, and analyze the counting concordance between two users. Written in Java 11 with the JavaFX UI toolkit, Vifeco is a stand-alone, multiplatform (Windows, Mac and Linux) and multi-language (3 languages supported) application. The software is available under Apache Licence on GitHub ( https://github. com/LAEQ/vifeco ).\",\"PeriodicalId\":37323,\"journal\":{\"name\":\"Journal of Open Research Software\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-05-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Open Research Software\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5334/JORS.300\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Open Research Software","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5334/JORS.300","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Social Sciences","Score":null,"Total":0}
VIFECO: An Open-Source Software for Counting Features on a Video
The aim of this article is to describe an open-source application (Vifeco) that makes it possible to manually identify features on a video. Vifeco also allows to: manage the number of users, create a category (feature) and a collection of categories, read video and identify the features on it, and analyze the counting concordance between two users. Written in Java 11 with the JavaFX UI toolkit, Vifeco is a stand-alone, multiplatform (Windows, Mac and Linux) and multi-language (3 languages supported) application. The software is available under Apache Licence on GitHub ( https://github. com/LAEQ/vifeco ).