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Automatically generated interactive weather reports based on webcam images

机译:基于网络摄像头图像自动生成的交互式天气报告

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摘要

Most weather reports are either based on data from dedicated weatherstations, satellite images, manual measurements or forecasts. In this papera system that automatically generates weather reports using the contentson webcam images are proposed. There are thousands of openly availablewebcams on the Internet that provide images in real time. A webcam imagecan reveal much about the weather conditions at a particular site and thisstudy demonstrates a strategy for automatically classifying a webcam sceneinto cloudy, partially cloudy, sunny, foggy and night. The system has been runfor several months collecting 60 Gb of image data from webcams across theworld. The reports are available through an interactive web-based interface.A selection of benchmark images was manually tagged to assess the accuracyof the weather classification which reached a success rate of 67.3%.
机译:大多数天气预报都基于专用气象站的数据,卫星图像,手动测量或预报。在本文中,提出了一种使用Contentson网络摄像头图像自动生成天气报告的系统。互联网上有成千上万个可实时提供图像的公开网络摄像头。网络摄像头图像可以揭示特定站点的天气状况,并且此研究演示了一种将网络摄像头场景自动分类为多云,部分多云,晴天,大雾和夜晚的策略。该系统已经运行了几个月,从全世界的网络摄像头收集了60 Gb的图像数据。这些报告可以通过基于Web的交互式界面获得。手动标记了一些基准图像以评估天气分类的准确性,成功率达到67.3%。

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