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dc.contributor.authorAlves, Filipe Rodolfoen_US
dc.contributor.authorFonseca, Manuel Joãoen_US
dc.contributor.authorGonçalves, Danielen_US
dc.contributor.editorCreissac Campos, José and Gonçalves, Danielen_US
dc.date.accessioned2021-06-18T07:32:42Z
dc.date.available2021-06-18T07:32:42Z
dc.date.issued2021
dc.identifier.isbn978-3-03868-155-7
dc.identifier.urihttps://doi.org/10.2312/pt.20081248
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/pt20081248
dc.description.abstractWith the vast amount of documents users tend to accumulate in their hard drives, it is natural that they often forget where certain file is stored or even its name. However, sometimes they still recall a mental image of the document's layout. We developed a new approach to document retrieval that capitalizes on human visual memory to help users find their personal documents. The users can sketch the layout of the document using a calligraphic interface and the system will present them with those that match that sketch. Documents are processed to extract its relevant features, blocks are segmented and classified according to their contents and a description of the layout is created. We described the document in two different ways: grid-based and semantic-based. The interface allows the user to choose from each of this search methods and includes also a complementary query by example mechanism.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectDocument Retrieval
dc.subjectSketches
dc.subjectCalligraphic Interfaces
dc.subjectPersonal Information Management
dc.titleSketch-a-Doc: Sketch a Document to Find Iten_US
dc.description.seriesinformationInteracção 2008 – Actas da 3a. Conferência Nacional em Interacção Pessoa-Máquina
dc.description.sectionheadersAplicações Interactivas
dc.identifier.doi10.2312/pt.20081248
dc.identifier.pages29-34


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