Google search by image : a system evaluation of adjusted images for the detection of visual plagiarism

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dc.contributor.authorVAN HEERDEN, L.
dc.contributor.authorDUMINY, S.I.
dc.contributor.authorLUWES, N.J.
dc.date.accessioned2019-01-23T08:13:03Z
dc.date.available2019-01-23T08:13:03Z
dc.date.issued2015
dc.descriptionPublished Articleen_US
dc.description.abstractThis paper investigates the precision of Google™'s Search by Image (SBI) system which lecturers can use to establish a workflow that will combat visual plagiarism in photography programmes. Currently no efficacious visual plagiarism detection method exists for implementation by photography lecturers. Content-based image retrieval systems like Google™ SBI have not yet been tested systemically for the detection of visual plagiarism. Using the Precision method to calculate the accuracy of the system, 300 images were randomly sampled through Google™ Images and altered with different adjustments. The images were uploaded to Google™ SBI and the results indicated a system of high quality.en_US
dc.format.extent301 828 bytes, 1 file
dc.format.mimetypeApplication/PDF
dc.identifier.issn1684-4998
dc.identifier.urihttp://hdl.handle.net/11462/1880
dc.language.isoen_USen_US
dc.publisherJournal for New Generation Sciencesen_US
dc.relation.ispartofseriesVolume 13;Issue 3
dc.subjectphotography educationen_US
dc.subjectimage plagiarismen_US
dc.subjectvisual plagiarism detectionen_US
dc.subjectGoogle™ Search by Imageen_US
dc.subjectcontent-based image retrievalen_US
dc.titleGoogle search by image : a system evaluation of adjusted images for the detection of visual plagiarismen_US
dc.typeArticleen_US

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