Mobile computer vision system for document image rendering, manipulation, and management on collaborative e-writing devices
用于协作电子书写设备上的文档图像渲染、操作和管理的移动计算机视觉系统
基本信息
- 批准号:525586-2018
- 负责人:
- 金额:$ 4.12万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Collaborative Research and Development Grants
- 财政年份:2019
- 资助国家:加拿大
- 起止时间:2019-01-01 至 2020-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The next generation of business productivity tools focuses on supporting creative processes underlying innovation. Recent studies show that while creativity is perceived as a key asset in business performance, many companies do not consider themselves as being creative. There is a clear need for enabling the manifestation of creative potential with novel business productivity tools.Our partner company, QuirkLogic Inc., aims at supporting the ideation process, an essential outcome of brainstorming. They enable organizations to work more efficiently and creatively in modern workspaces. Their flagship product, Quilla, is the world's largest e-writer, consisting of a portable electronic whiteboard. Being always "on" and ready to use, it displays a background document (which is imported by the user) and saves user-created annotations automatically as they are written. The purpose is to share user-created annotations for real-time, collaborative ideation. Currently, Quilla e-writers are unaware of the background document and allow only for saving and sharing the users' annotations.This proposal aims to create a new, dynamic, and flexible paradigm for enabling e-writers to process and understand user-imported documents. Computer vision methods will be explored for creating a content-aware framework that enables interactive acquisition, display, and manipulation of document, flipchart, and whiteboard images. The development of such a framework would significantly enhance the user experience and broaden Quilla's scope and functionalities.Many benefits from the proposed research will accrue to our industrial partner, and the Canadian industry, to the University of Victoria, and to the computer vision research community. While the developed algorithms will broaden the scope of business productivity tools, this project will also contribute to the strengthening of UVic's leadership role in document image analysis research, and to the training of highly qualified personnel in state of the art computer vision, machine learning, and human-computer interaction technologies.
下一代企业生产力工具侧重于支持创新背后的创意流程。最近的研究表明,虽然创造力被视为企业绩效的关键资产,但许多公司并不认为自己具有创造力。显然需要通过新颖的业务生产力工具来体现创造性潜力。我们的合作伙伴公司 QuirkLogic Inc. 旨在支持构思过程,这是集思广益的重要成果。它们使组织能够在现代工作空间中更高效、更具创造性地工作。他们的旗舰产品Quilla 是世界上最大的电子书写器,由便携式电子白板组成。它始终处于“打开”状态并可供使用,它会显示后台文档(由用户导入)并在编写用户创建的注释时自动保存它们。目的是共享用户创建的注释,以实现实时协作构思。目前,Quilla 电子作家不知道后台文档,只允许保存和共享用户的注释。该提案旨在创建一个新的、动态的、灵活的范例,使电子作家能够处理和理解用户导入的文档。将探索计算机视觉方法来创建内容感知框架,以实现文档、活动挂图和白板图像的交互式获取、显示和操作。这样一个框架的开发将显着增强用户体验并扩大 Quilla 的范围和功能。拟议的研究将为我们的工业合作伙伴、加拿大工业界、维多利亚大学和计算机视觉研究社区带来许多好处。虽然开发的算法将扩大企业生产力工具的范围,但该项目也将有助于加强维多利亚大学在文档图像分析研究方面的领导作用,并有助于培训最先进的计算机视觉、机器学习、和人机交互技术。
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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BranzanAlbu, Alexandra其他文献
BranzanAlbu, Alexandra的其他文献
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{{ truncateString('BranzanAlbu, Alexandra', 18)}}的其他基金
Computer Vision Methods for Marine Ecology
海洋生态学计算机视觉方法
- 批准号:
RGPIN-2022-02981 - 财政年份:2022
- 资助金额:
$ 4.12万 - 项目类别:
Discovery Grants Program - Individual
Computer Vision Methods for Marine Ecology
海洋生态学计算机视觉方法
- 批准号:
RGPIN-2022-02981 - 财政年份:2022
- 资助金额:
$ 4.12万 - 项目类别:
Discovery Grants Program - Individual
Computer vision-based detection of marine vessels in the Canadian Arctic using visual and acoustic data
使用视觉和声学数据对加拿大北极地区的船舶进行计算机视觉检测
- 批准号:
560777-2020 - 财政年份:2020
- 资助金额:
$ 4.12万 - 项目类别:
Alliance Grants
Mobile computer vision system for document image rendering, manipulation, and management on collaborative e-writing devices
用于协作电子书写设备上的文档图像渲染、操作和管理的移动计算机视觉系统
- 批准号:
525586-2018 - 财政年份:2020
- 资助金额:
$ 4.12万 - 项目类别:
Collaborative Research and Development Grants
Automatic Visual Analysis of Acoustic Backscatter Time Series for Monitoring Underwater Environments
用于监测水下环境的声学反向散射时间序列的自动可视化分析
- 批准号:
555567-2020 - 财政年份:2020
- 资助金额:
$ 4.12万 - 项目类别:
Alliance Grants
Computer vision-based detection of marine vessels in the Canadian Arctic using visual and acoustic data
使用视觉和声学数据对加拿大北极地区的船舶进行计算机视觉检测
- 批准号:
560777-2020 - 财政年份:2020
- 资助金额:
$ 4.12万 - 项目类别:
Alliance Grants
Mobile computer vision system for document image rendering, manipulation, and management on collaborative e-writing devices
用于协作电子书写设备上的文档图像渲染、操作和管理的移动计算机视觉系统
- 批准号:
525586-2018 - 财政年份:2020
- 资助金额:
$ 4.12万 - 项目类别:
Collaborative Research and Development Grants
Automatic Visual Analysis of Acoustic Backscatter Time Series for Monitoring Underwater Environments
用于监测水下环境的声学反向散射时间序列的自动可视化分析
- 批准号:
555567-2020 - 财政年份:2020
- 资助金额:
$ 4.12万 - 项目类别:
Alliance Grants
Computer vision and machine learning algorithms for detecting marine life from acoustic backscatter time series
用于从声学反向散射时间序列检测海洋生物的计算机视觉和机器学习算法
- 批准号:
544507-2019 - 财政年份:2019
- 资助金额:
$ 4.12万 - 项目类别:
Engage Plus Grants Program
Computer vision and machine learning algorithms for detecting marine life from acoustic backscatter time series
用于从声学反向散射时间序列检测海洋生物的计算机视觉和机器学习算法
- 批准号:
544507-2019 - 财政年份:2019
- 资助金额:
$ 4.12万 - 项目类别:
Engage Plus Grants Program
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