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Computer vision methods for image rendering and manipulation on e-writing devices

Computer vision methods for image rendering and manipulation on e-writing devices
用于电子书写设备上的图像渲染和操作的计算机视觉方法
批准号:
508322-2017
负责人:
BranzanAlbu, Alexandra
金额:
$1.82万
依托单位:
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2017
资助国家:
加拿大
项目状态:
已结题
起止时间:
2017-01-01 至 2018-12-31

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中文摘要
翻译
我们提出的研究解决了协作电子书写显示器上文档图像的显示和操作的新模式。我们的合作伙伴公司,Quirklogic,总部设在卡尔加里,AB提供电子书写显示器作为商业生产力工具,帮助企业团队激发和发展大创意。他们的旗舰产品Quilla是世界上最大的电子书写器,将人和内容连接起来,以提高现场和远程团队合作的生产力和创造力。Quilla是一款轻便、轻薄、低能耗的电子白板,最近首次亮相于每年1月在内华达州拉斯维加斯举行的全球消费电子和消费技术贸易展“CES 2017”。它始终处于“打开”状态,可以随时使用,在用户编写内容时自动保存内容,并允许用户与远程用户共享工作簿,以便实时协作创建内容。QuirkLogic旨在改进在Quilla中导入和操作文档的方式。Quilla目前允许用户导入作为背景显示的外部文档,并在其上创建内容。导入的文档是静态的,Quilla不知道它是什么或者它包含什么,只关注用户的标记。在这个项目中,我们的目标是提供一种更智能的方式来导入文档,通过计算机视觉技术进行动态交互和集成。我们建议开发一个框架,以方便文档、白板和白板图像以合适的格式传输到quilla,以便显示和操作。这样一个框架的开发将显著提高用户体验,拓宽Quilla的范围和功能。
英文摘要
Our proposed research addresses novel modes of display and manipulation of document images oncollaborative e-writing displays. Our partner company, Quirklogic, based in Calgary, AB provides e-writingdisplays as business productivity tools to help corporate teams spark and grow big ideas.Their flagship product, Quilla, is the world's largest eWriter, connecting people and content to boost theproductivity and creativity of on-site and remote teamwork. Recently debuted at CES 2017, a global consumerelectronics and consumer technology tradeshow that takes place every January in Las Vegas, NV, Quilla is aportable, thin, light, and low-energy consumption electronic whiteboard. Being always "on" and ready to use, itsaves user content automatically as it is written, and lets users share workbooks with remote users for real-timecollaborative content creation.QuirkLogic aims to improve how documents are imported and manipulated in Quilla. Quilla currently allows auser to import an external document that is displayed as a background, over which to create content. Theimported document is static and Quilla is not aware of what it is or what it contains, focusing solely on theuser's markings. In this project, we aim to provide a smarter way to import documents for a dynamic interactionand integration via computer vision technologies.We propose to develop a framework that facilitates document, flipchart, and whiteboard image transferring toQuilla in a suitable format for display and manipulation. The development of such a framework wouldsignificantly enhance the user experience and broaden Quilla's scope and functionalities.
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Computer Vision Methods for Marine Ecology
  • 批准号:
    RGPIN-2022-02981
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
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  • 财政年份:
    2022
  • 负责人:
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  • 依托单位:
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  • 项目类别:
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  • 财政年份:
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  • 负责人:
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  • 批准号:
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  • 项目类别:
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  • 资助金额:
    $1.46万
  • 财政年份:
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  • 负责人:
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Automatic Visual Analysis of Acoustic Backscatter Time Series for Monitoring Underwater Environments
  • 批准号:
    555567-2020
  • 项目类别:
    Alliance Grants
  • 资助金额:
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  • 财政年份:
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  • 负责人:
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  • 批准号:
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  • 项目类别:
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  • 资助金额:
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  • 批准年份:
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  • 负责人:
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