A Machine Learning Method for Detecting the Trace of Seam Carving

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dc.contributor.authorSenturk, Zehra Karapinar
dc.contributor.authorAkgun, Devrim
dc.date.accessioned2021-12-01T18:47:57Z
dc.date.available2021-12-01T18:47:57Z
dc.date.issued2021
dc.department[Belirlenecek]en_US
dc.description.abstractImage retargeting is a manipulation approach for resizing the images while aiming to keep the image distortion at a low level. Detecting image retargeting is of importance in image forensics or sometimes of importance in checking the originality. The aim of this paper is to introduce a new blind detection method for identifying retargeted images based on seam carving. For this purpose, a new method based on stripes at various numbers, Local Binary Pattern (LBP) transform, and energy map is introduced. The sub-images were obtained from square root of the energy map of LBP transform in the form of stripes for the feature extraction and these were evaluated in terms of several statistical features. The features extracted both from the natural and the seam carved images were used to train a Support Vector Machine (SVM) as a binary classifier. Experimental results were obtained using four-fold cross validation to improve the validity of the results during the evaluation process. According to the experiments, the proposed method produces improved accuracies when compared with the state-of-the-art solutions for the image retargeting detection based on seam carving.en_US
dc.identifier.doi10.5755/j02.eie.29050
dc.identifier.endpage66en_US
dc.identifier.issn1392-1215
dc.identifier.issue5en_US
dc.identifier.scopus2-s2.0-85118246890en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage59en_US
dc.identifier.urihttps://doi.org/10.5755/j02.eie.29050
dc.identifier.urihttps://hdl.handle.net/20.500.12684/10418
dc.identifier.volume27en_US
dc.identifier.wosWOS:000713024300008en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherKaunas Univ Technologyen_US
dc.relation.ispartofElektronika Ir Elektrotechnikaen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectImage retargetingen_US
dc.subjectSeam carvingen_US
dc.subjectMachine learningen_US
dc.subjectSupport vector machineen_US
dc.subjectLocal binary patternsen_US
dc.subjectImage forensicsen_US
dc.subject3D Saliencyen_US
dc.titleA Machine Learning Method for Detecting the Trace of Seam Carvingen_US
dc.typeArticleen_US

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