CAREER: Social Multimedia as Volunteered Geographic Information: Crowdsourcing What-Is-Where on the Surface of the Earth Through Proximate Sensing

职业：社交多媒体作为自愿提供的地理信息：通过近距离感知众包地球表面的位置

• 批准号: 1150115
• 负责人: Shawn Newsam
• 金额: $ 49.72万
• 依托单位: University of California - Merced
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-07-01 至 2019-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1150115&HistoricalAwards=false
• 关键词: CAREER; Social; Multimedia; Volunteered; Geographic

This project investigates social multimedia for geographic discovery. Specifically, community-contributed ground-level images and videos are used to map what-is-where on the surface of the Earth in much the same way that overhead images taken from air- or space-borne platforms have been used for decades in the traditional field of remote sensing. The overarching premise is that georeferenced social multimedia data can be considered a form of volunteered geographic information. Further, it can enable geographic discovery not possible through traditional means. The framework, termed proximate sensing, is applied to two challenging geographic discovery problems: 1) land-use classification, and 2) mapping public sentiment such as how scenic a particular geographic location is. Land-use classification is an important problem but is often not possible using overhead images since remote sensing does not record activities. This project instead applies and extends state-of-the-art techniques in image understanding to ground-level images and videos to map land-use. The motivation is similar for mapping public sentiment.The broader impacts include developing K-12 spatial literacy curricula through an Engineering Projects in Community Service team whose client is the Merced County Office of Education. University of California-Merced was recently classified as an Hispanic Serving Institution, making it one of only a handful of research universities with this designation nationwide. Undergraduate students from underrepresented groups will be involved in developing a GeographUSA project whereby volunteers can upload geographically representative photos of the United States. Results, datasets, and other project artifacts will be made available through the project website (http://vision.ucmerced.edu/projects/socialmultimedia/).

这个项目调查社交媒体的地理发现。具体地说，社区贡献的地面图像和视频被用来绘制地球表面上的位置，其方式与几十年来在传统遥感领域使用从空中或空间平台拍摄的高空图像大致相同。最重要的前提是，地理参考的社交多媒体数据可以被视为一种自愿提供的地理信息。此外，它还可以实现传统方法无法实现的地理发现。这一被称为近邻感知的框架被应用于两个具有挑战性的地理发现问题：1)土地利用分类，2)绘制公众情绪图，如特定地理位置的风景如何。土地利用分类是一个重要问题，但由于遥感不记录活动，使用高空图像往往是不可能的。相反，该项目将最先进的图像理解技术应用并扩展到地面图像和视频，以绘制土地利用图。绘制公众情绪图的动机类似。更广泛的影响包括通过社区服务工程项目团队开发K-12空间素养课程，该团队的客户是默塞德县教育办公室。加州大学默塞德分校最近被归类为拉美裔服务机构，使其成为全国为数不多的几所拥有这一称号的研究型大学之一。来自代表性不足群体的本科生将参与开发一个地理美国项目，志愿者可以上传具有地理代表性的美国照片。结果、数据集和其他项目构件将通过项目网站(http://vision.ucmerced.edu/projects/socialmultimedia/).提供