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Determining Intent of Changes to Ascertain Fake Crowdsourced Image Services
March 20, 2024, 4:45 a.m. | Muhammad Umair, Athman Bouguettaya, Abdallah Lakhdari
cs.CV updates on arXiv.org arxiv.org
Abstract: We propose a novel framework for crowdsourced images to determine the likelihood of an image being fake. We use a service-oriented approach to model and represent crowdsourced images uploaded on social media, as image services. Trust may, in some circumstances, be determined by using only the non-functional attributes of an image service, i.e., image metadata. We define intention of changes as a key parameter to ascertain fake image services. A novel framework is proposed to …
abstract arxiv cs.cv fake framework image images likelihood media novel service services social social media trust type
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