CAREER: Observing the world through the lenses of social media

职业:通过社交媒体的镜头观察世界

基本信息

  • 批准号:
    1253549
  • 负责人:
  • 金额:
    $ 50万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2013
  • 资助国家:
    美国
  • 起止时间:
    2013-03-01 至 2020-02-29
  • 项目状态:
    已结题

项目摘要

Every day, millions of people across the world take photos and upload them to social media websites. Their goal is to share photos with friends and others, but collectively they are creating vast repositories of visual information about the world. Each photo is an observation of how the world looked at a particular point in time and space. Aggregated together, these photos could provide new sources of observational data for use in disciplines like biology, earth science, social science or history. This project is investigating the algorithms and technologies needed for mining these large collections of photographs and noisy metadata to draw inferences about the physical world. The project has four research thrusts: (1) investigating techniques for identifying and correcting noise in metadata like geo-tags and timestamps, (2) developing algorithms for extracting semantic information from images and metadata, (3) creating methods for robust aggregation of noisy evidence from multiple photos, (4) validating these techniques on interdisciplinary applications in biology, sociology, and earth science.The project is laying the foundation for using visual social media as a new source of observational data for a variety of scientific disciplines. The educational component is preparing students for the next generation of "big data" jobs through new undergraduate and graduate courses and online instructional materials. Undergraduate students (particularly from under-represented groups) are recruited to participate in the research program and encouraged to pursue scientific careers. An annual workshop is planned to educate general audiences, particularly senior citizens, about data mining and social media. Source code, datasets, course materials, and other results of the project will be disseminated to the public via the project web site (http://vision.soic.indiana.edu/career/).
每天,全世界数以百万计的人拍照并上传到社交媒体网站。他们的目标是与朋友和其他人分享照片,但总的来说,他们正在创建关于世界的巨大视觉信息存储库。每一张照片都是对世界在特定时间点和空间点的观察。综合起来,这些照片可以提供新的观测数据来源,用于生物学、地球科学、社会科学或历史等学科。这个项目正在研究挖掘这些大量照片和嘈杂元数据以得出关于物理世界的推论所需的算法和技术。该项目有四个研究重点:(1)研究识别和纠正地理标签和时间戳等元数据中的噪声的技术;(2)开发从图像和元数据中提取语义信息的算法;(3)创建从多张照片中稳健聚集噪声证据的方法;(4)验证这些技术在生物学、社会学和地球科学中的跨学科应用。该项目正在为将可视化社交媒体用作各种科学学科的观测数据的新来源奠定基础。教育部分正在通过新的本科生和研究生课程以及在线教学材料,让学生为下一代“大数据”工作做好准备。本科生(特别是来自代表人数不足的群体)被招募参加研究计划,并鼓励他们从事科学事业。计划举办一次年度研讨会,教育普通受众,特别是老年人,了解数据挖掘和社交媒体。项目的源代码、数据集、课程材料和其他成果将通过项目网站(http://vision.soic.indiana.edu/career/).)向公众传播

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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David Crandall其他文献

Deep learning-based 3D reconstruction from multiple images: A survey
基于深度学习的多图像 3D 重建:一项调查
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    6
  • 作者:
    Chuhua Wang;Md. Alimoor Reza;Vibhas Kumar Vats;Yingnan Ju;Nikhil Thakurdesai;Yuchen Wang;David Crandall;Soon;Jeongil Seo
  • 通讯作者:
    Jeongil Seo
Social signals predict contemporary art prices better than visual features, particularly in emerging markets
社会信号比视觉特征更能预测当代艺术品的价格,尤其是在新兴市场
  • DOI:
    10.1038/s41598-024-60957-z
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    4.6
  • 作者:
    Kangsan Lee;Jaehyuk Park;Sam Goree;David Crandall;Yong
  • 通讯作者:
    Yong
COMPARISON OF REMISSION RATES AND TOLERABILITY IN PATIENTS WITH EARLY-EPISODE SCHIZOPHRENIA RECEIVING ARIPIPRAZOLE OR HALOPERIDOL
  • DOI:
    10.1016/s0920-9964(08)70785-0
  • 发表时间:
    2008-06-01
  • 期刊:
  • 影响因子:
  • 作者:
    Sheila Assunção-Talbott;David Crandall;James M Eudicone;Andrei Pikalov;Robert D McQuade;John M Kane
  • 通讯作者:
    John M Kane
Advances in the Management of Dislocated Intraocular Lenses
人工晶状体脱位的治疗进展
  • DOI:
    10.1016/j.yaoo.2024.02.008
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Morgan Frechie;Calvin Robbins;Benjamin Katz;David Crandall
  • 通讯作者:
    David Crandall
Extraction of special effects caption text events from digital video

David Crandall的其他文献

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{{ truncateString('David Crandall', 18)}}的其他基金

AI Institute: Planning: AI Institute for Rural Health, Wellness, and Resilience
AI 研究所:规划:AI 农村健康、福祉和复原力研究所
  • 批准号:
    2020194
  • 财政年份:
    2020
  • 资助金额:
    $ 50万
  • 项目类别:
    Standard Grant
Student Travel Grants for the Second International Workshop on The Bright and Dark Side of Computer Vision: Challenges and Opportunities for Privacy and Security
第二届计算机视觉的光明与黑暗的一面国际研讨会的学生旅费资助:隐私和安全的挑战与机遇
  • 批准号:
    1834899
  • 财政年份:
    2018
  • 资助金额:
    $ 50万
  • 项目类别:
    Standard Grant
A Workshop on Computer Vision Challenges and Opportunities for Privacy and Security
关于计算机视觉隐私和安全挑战与机遇的研讨会
  • 批准号:
    1744748
  • 财政年份:
    2017
  • 资助金额:
    $ 50万
  • 项目类别:
    Standard Grant

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