Mobile computer vision system for document image rendering, manipulation, and management on collaborative e-writing devices

下一代企业生产力工具侧重于支持创新背后的创造性过程。最近的研究表明，虽然创造力被视为企业业绩的一项关键资产，但许多公司并不认为自己有创造力。显然有必要利用新的商业生产力工具来实现创造潜力的展示。 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，由一个便携式电子白板组成。它始终处于打开状态，随时可以使用，它会显示一个背景文档(由用户导入)，并在编写时自动保存用户创建的批注。其目的是共享用户创建的注释，以便进行实时、协作的思考。目前，Quilla电子作家不知道后台文档，只允许保存和分享用户的注释。 这项提议旨在创建一种新的、动态的和灵活的范例，使电子作者能够处理和理解用户输入的文件。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获取、显示和操作。开发这样一个框架将大大改善用户体验，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、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业务生产力工具的范围，但该项目也将有助于加强UVic在文件图像分析研究中的领导作用，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方面的高素质人员。

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.