biigle2go -一个可扩展的图像注释系统,便于在游轮上部署

Martin Zurowietz, Daniel Langenkämper, T. Nattkemper
{"title":"biigle2go -一个可扩展的图像注释系统,便于在游轮上部署","authors":"Martin Zurowietz, Daniel Langenkämper, T. Nattkemper","doi":"10.1109/OCEANSE.2019.8867417","DOIUrl":null,"url":null,"abstract":"Digital imaging is gaining more and more attention in marine environmental monitoring and exploration. Nowadays, mobile platforms such as autonomous underwater vehicles (AUVs) are equipped with high-resolution cameras that can collect gigabytes of digital images in a single dive. To extract quantitative and qualitative information from the accumulating image collections, annotation tools such as BIIGLE 2.0 have been proposed recently and have been established in the data analysis workflow. These tools run as web applications on a central server and can be accessed worldwide via the Internet. However, marine science and engineering are naturally associated with a high degree of mobility and, in some cases, limited resources or Internet access. Here we present a new application architecture for BIIGLE 2.0, which is particularly suitable for offshore deployment on a variety of platforms such as a server, workstation, laptop or even a small single-board computer such as a Raspberry Pi. We refer to the application architecture in combination with a mobile hardware platform as \"BIIGLE2Go\", which addresses the need for more flexibility and mobility in image annotation. We present and evaluate a first prototype for BIIGLE2Go, which runs as a mobile annotation system on a low-cost Raspberry Pi 3B.","PeriodicalId":375793,"journal":{"name":"OCEANS 2019 - Marseille","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"BIIGLE2Go—A scalable image annotation system for easy deployment on cruises\",\"authors\":\"Martin Zurowietz, Daniel Langenkämper, T. Nattkemper\",\"doi\":\"10.1109/OCEANSE.2019.8867417\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Digital imaging is gaining more and more attention in marine environmental monitoring and exploration. Nowadays, mobile platforms such as autonomous underwater vehicles (AUVs) are equipped with high-resolution cameras that can collect gigabytes of digital images in a single dive. To extract quantitative and qualitative information from the accumulating image collections, annotation tools such as BIIGLE 2.0 have been proposed recently and have been established in the data analysis workflow. These tools run as web applications on a central server and can be accessed worldwide via the Internet. However, marine science and engineering are naturally associated with a high degree of mobility and, in some cases, limited resources or Internet access. Here we present a new application architecture for BIIGLE 2.0, which is particularly suitable for offshore deployment on a variety of platforms such as a server, workstation, laptop or even a small single-board computer such as a Raspberry Pi. We refer to the application architecture in combination with a mobile hardware platform as \\\"BIIGLE2Go\\\", which addresses the need for more flexibility and mobility in image annotation. We present and evaluate a first prototype for BIIGLE2Go, which runs as a mobile annotation system on a low-cost Raspberry Pi 3B.\",\"PeriodicalId\":375793,\"journal\":{\"name\":\"OCEANS 2019 - Marseille\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"OCEANS 2019 - Marseille\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/OCEANSE.2019.8867417\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"OCEANS 2019 - Marseille","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OCEANSE.2019.8867417","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

数字成像技术在海洋环境监测与勘探中越来越受到重视。如今,像自主水下航行器(auv)这样的移动平台都配备了高分辨率相机,一次潜水就能收集到千兆字节的数字图像。为了从累积的图像集合中提取定量和定性信息,最近提出了BIIGLE 2.0等注释工具,并在数据分析工作流程中建立了注释工具。这些工具作为web应用程序在中央服务器上运行,并且可以通过Internet在全球范围内访问。然而,海洋科学和工程自然与高度的流动性联系在一起,在某些情况下,资源或互联网接入有限。在这里,我们为BIIGLE 2.0提出了一个新的应用程序架构,它特别适合在各种平台上进行离岸部署,如服务器、工作站、笔记本电脑,甚至是小型单板计算机(如树莓派)。我们将应用程序架构与移动硬件平台相结合称为“BIIGLE2Go”,它解决了图像注释更灵活和移动性的需求。我们提出并评估了BIIGLE2Go的第一个原型,它作为低成本树莓派3B上的移动注释系统运行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
BIIGLE2Go—A scalable image annotation system for easy deployment on cruises
Digital imaging is gaining more and more attention in marine environmental monitoring and exploration. Nowadays, mobile platforms such as autonomous underwater vehicles (AUVs) are equipped with high-resolution cameras that can collect gigabytes of digital images in a single dive. To extract quantitative and qualitative information from the accumulating image collections, annotation tools such as BIIGLE 2.0 have been proposed recently and have been established in the data analysis workflow. These tools run as web applications on a central server and can be accessed worldwide via the Internet. However, marine science and engineering are naturally associated with a high degree of mobility and, in some cases, limited resources or Internet access. Here we present a new application architecture for BIIGLE 2.0, which is particularly suitable for offshore deployment on a variety of platforms such as a server, workstation, laptop or even a small single-board computer such as a Raspberry Pi. We refer to the application architecture in combination with a mobile hardware platform as "BIIGLE2Go", which addresses the need for more flexibility and mobility in image annotation. We present and evaluate a first prototype for BIIGLE2Go, which runs as a mobile annotation system on a low-cost Raspberry Pi 3B.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信