SleuthTalk: Identifying Historical Photos with Intelligent Shortlists, Private Collaboration, and Structured Feedback

SleuthTalk: Identifying Historical Photos with Intelligent Shortlists, Private Collaboration, and Structured Feedback
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SleuthTalk:通过智能入围名单、私人协作和结构化反馈来识别历史照片

DOI:
10.1145/3462204.3482890
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发表时间:
2021
期刊:
CSCW '21: Companion Publication of the 2021 Conference on Computer Supported Cooperative Work and Social Computing
影响因子:
--
通讯作者:
Luther, Kurt
Luther, Kurt
中科院分区:
--
文献类型:
--
作者:
Yuan, Liling;Mohanty, Vikram;Luther, Kurt

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识别照片中的人物是历史、新闻、家谱和收藏等许多领域的一项重要任务,但准确的人物识别仍然具有挑战性。研究人员尤其要努力解决历史人物识别的“最后一英里问题”,他们必须在少数高度相似的候选人中进行选择。我们推出了 SleuthTalk,这是一个集成到公共网站 Civil War Photo Sleuth 中的基于网络的协作工具,它通过为根据人脸识别结果、私人协作工作空间和结构化反馈筛选潜在候选人提供支持,解决历史人员识别中的最后一英里问题。
Identifying people in photographs is an important task in many fields, including history, journalism, genealogy, and collecting, but accurate person identification remains challenging. Researchers especially struggle with the “last-mile proble” of historical person identification, where they must make a selection among a small number of highly similar candidates. We present SleuthTalk, a web-based collaboration tool integrated into the public website Civil War Photo Sleuth which addresses the last-mile problem in historical person identification by providing support for shortlisting potential candidates from face recognition results, private collaborative workspaces, and structured feedback.
站在巨人的模式上:社交增强的信息搜寻
DOI: 10.1145/2531602.2531644
发表时间: 2014
期刊: Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
影响因子: --
作者:
A. Kittur;Andrew M. Peters;Abdigani Diriye;M. R. Bove
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DOI: 10.1609/hcomp.v7i1.5272
发表时间: 2019-10
期刊: --
影响因子: --
作者:
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DOI: 10.1145/3301275.3302301
发表时间: 2019
期刊: Proceedings of the 24th ACM Conference on Intelligent User Interfaces (IUI ’19
影响因子: --
作者:
Mohanty, Vikram;Thames, David;Mehta, Sneha;Luther, Kurt
通讯作者: Luther, Kurt
照片侦探
DOI: --
发表时间: 2020
期刊: ACM Trans. Interact. Intell. Syst.
影响因子: --
作者:
V. Mohanty;D. Thames;Sneha Mehta;K. Luther
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