Enhancing Photography Management Through Automatically Extracted Metadata

dc.contributor.author Pedro Miguel Carvalho en
dc.contributor.author Freitas,D en
dc.contributor.author Machado,T en
dc.contributor.author Paula Viana en
dc.contributor.other 1107 en
dc.contributor.other 4358 en
dc.date.accessioned 2023-05-10T15:12:56Z
dc.date.available 2023-05-10T15:12:56Z
dc.date.issued 2022 en
dc.description.abstract The tremendous increase in photographs that are captured each day by common users has been favoured by the availability of high quality devices at accessible costs, such as smartphones and digital cameras. However, the quantity of captured photos raises new challenges regarding the access and management of image repositories. This paper describes a lightweight distributed framework intended to help overcome these problems. It uses image metadata in EXIF format, already widely added to images by digital acquisition devices, and automatic facial recognition to provide management and search functionalities. Moreover, a visualization functionality using a graph-based strategy was integrated, enabling an enhanced and more interactive navigation through search results and the corresponding relations. en
dc.identifier P-00W-D1T en
dc.identifier.uri http://dx.doi.org/10.1007/978-3-030-96308-8_89 en
dc.identifier.uri https://repositorio.inesctec.pt/handle/123456789/14011
dc.language eng en
dc.rights info:eu-repo/semantics/openAccess en
dc.title Enhancing Photography Management Through Automatically Extracted Metadata en
dc.type en
dc.type Publication en
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