首页> 外文会议>IEEE International Conference on Big Data >A Method to Collect Multi-view Images of High Importance Using Disaster Map and Crowdsourcing
【24h】

A Method to Collect Multi-view Images of High Importance Using Disaster Map and Crowdsourcing

机译:一种利用灾害地图和众包收集高重要性多视图图像的方法

获取原文

摘要

In recent years, research efforts have enabled using the internet in disaster areas, and information technology (IT) is expected to improve our comprehension and evaluation of disasters. In disaster areas, crowdsourcing can be employed to secure human resources and controlled-task distribution. In crowdsourcing, many workers with publicly defined tasks (also called microtasks) are used. A simplified and more efficient microtask framework is required for disaster areas due to the lack of human resources and facilities. In this paper, we describe a method that incorporates information collection from a disaster area into microtasks with machine processing support.
机译:近年来,研究工作已使在灾区使用互联网成为可能,并且信息技术(IT)有望改善我们对灾难的理解和评估。在灾区,可以采用众包来确保人力资源和控制任务分配。在众包中,使用了许多具有公开定义的任务(也称为微任务)的工人。由于缺乏人力资源和设施,灾区需要一个简化且更有效的微任务框架。在本文中,我们描述了一种在机器处理支持下将来自灾区的信息收集整合到微任务中的方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号