Augmented Documents for Research Contact Management

In this paper, we propose to reconsider the myth of the paperless office and we explore a new user experience, the augmented document, in order to digitize a document, extract information (like scientific network) in order to find similar content. This framework exploits image processing tools to segment the document and facilitate the manipulation of its structure. Then, OCR is performed to enable textual edition: copy/paste from other sources, correct mistakes, change text box shapes. Moreover, in order to help the user enriching the document, the system is able to propose similar content (like papers from the same researcher, documents from the same topic …). This all-in-one framework was tested on many different devices like interactive table, HP Sprout, or Microsoft Surface, and all the actions can be performed with basic gestures without requiring technical expertise.