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dc.contributor.authorAl-lohibi, Hanaa
dc.contributor.authorAlkhamisi, Tahani
dc.contributor.authorAssagran, Maha
dc.contributor.authorAljohani, Amal
dc.contributor.authorAljahdali, Asia Othaman
dc.date.accessioned2021-05-21T10:59:19Z
dc.date.available2021-05-21T10:59:19Z
dc.date.issued2020-09-13
dc.identifier.citationADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 9 (2020)
dc.identifier.issn2255-2863
dc.identifier.urihttp://hdl.handle.net/10366/146103
dc.description.abstractThe abundance of photos on the internet, along with smartphones that could implement computer vision technologies allow for a unique way to browse the web. These technologies have potential used in many widely accessible and globally available reverse-image search applications. One of these applications is the use of reverse-image search to help people finding items which they're interested in, but they can't name it. This is where Awjedni was born. Awjedni is a reverse-image search application compatible with iOS and Android smartphones built to provide an efficient way to search millions of products on the internet using images only. Awjedni utilizes a computer vision technology through implementing multiple libraries and frameworks to process images, recognize objects, and crawl the web. Users simply upload/take a photo of a desired item and the application returns visually similar items and a direct link to the websites that sell them.
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherEdiciones Universidad de Salamanca (España)
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectReverse-image search
dc.subjectDeep learning
dc.subjectLocalization algorithm
dc.titleAwjedni: A Reverse-Image-Search Application
dc.typeinfo:eu-repo/semantics/article
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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