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

下一代业务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，有必要利用新颖的业务生产力工具来发挥创造性潜力。**我们的合作伙伴公司，QuirkLogic Inc.，旨在支持创意过程，这是头脑风暴的重要结果。它们使组织能够在现代工作空间中更高效、更有创造性地工作。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，可以随时使用，它显示一个背景文档（由用户导入），并在用户创建的注释写入时自动保存它们。其目的是共享用户创建的注释，用于实时、协作的构思。目前，Quilla电子编辑器不知道后台文档，只允许保存和共享用户的注释。**本提案旨在创建一个新的、动态的、灵活的范例，使电子书写器能够处理和理解用户导入的文档。计算机视觉方法将探索创建内容感知框架，使交互式获取、显示和操作文档、白板图和白板图像成为可能。这样一个框架的开发将大大提高用户体验，并扩大Quilla的范围和功能。**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界将从拟议的研究中获得许多好处。虽然开发的算法将扩大商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件图像分析研究方面的领导作用，并有助于培养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才。**************

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.**************