Towards Content-Based Retrieval of Technical Orawings through High-Oimensional lndexing

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dc.contributor.authorFonseca, Manuel J.en_US
dc.contributor.authorJorge, Joaquim A.en_US
dc.contributor.editorXavier Pueyoen_US
dc.contributor.editorManuel Próspero dos Santosen_US
dc.contributor.editorLuiz Velhoen_US
dc.date.accessioned2023-01-24T14:15:56Z
dc.date.available2023-01-24T14:15:56Z
dc.date.issued2022
dc.description.abstractThis paper presents a new approach to classify, index and retrieve technical drawings by content. Our work uses spatial relationships, visual elements and high-dimensional indexing mechanisms to retrieve complex drawings from CAD databases. This contrasts with conventional approaches which use mostly textual metadata for the sarne purpose. Creative designers and draftspeople often re-use data from previous projects, publications and libraries of ready to use components. Usually, retrieving these drawings is a slow, complex and error-prone endeavor; requiring either exhaustive visual examination, a solid memory, or both. Unfortunately, the widespread use of CAD systems, while making it easier to create and edit drawings, exacerbates this problem, insofar as the number of projects and drawings grows enormously, without providing adequate retrieval mechanisms to support retrieving these documents. ln this paper we describe an approach that supports automatic indexation of technical drawing databases through drawing simplification techniques based on geometric features and efficient algorithms to index large amounts of data. We describe in detail the indexing structure (NB-Tree) we have developed within the context of a more general approach. Experimental evaluation reveals that our approach outperforms some of the best indexing structures published, enabling us to search very large drawing databases.en_US
dc.description.sectionheadersAlgorithms and Data Structures
dc.description.seriesinformationSIACG2002 - 1st lbero-American Symposium in Computer Graphics
dc.identifier.doi10.2312/pt.20021419
dc.identifier.isbn978-3-03868-194-6
dc.identifier.pages263-270
dc.identifier.pages8 pages
dc.identifier.urihttps://doi.org/10.2312/pt.20021419
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/pt20021419
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectContent-Based Retrieval, Graph Matching, High-Dimensional lndexing
dc.subjectContent
dc.subjectBased Retrieval
dc.subjectGraph Matching
dc.subjectHigh
dc.subjectDimensional lndexing
dc.titleTowards Content-Based Retrieval of Technical Orawings through High-Oimensional lndexingen_US
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