Determining Intent of Changes to Ascertain Fake Crowdsourced Image Services
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arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2023
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| Acceso en línea: | |
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| _version_ | 1866909139962167296 |
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| author | Umair, Muhammad Bouguettaya, Athman Lakhdari, Abdallah |
| author_facet | Umair, Muhammad Bouguettaya, Athman Lakhdari, Abdallah |
| contents | 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 estimate the intention of underlying changes considering change in semantics of an image. Our experiments show high accuracy using a large real dataset. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_12045 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Determining Intent of Changes to Ascertain Fake Crowdsourced Image Services Umair, Muhammad Bouguettaya, Athman Lakhdari, Abdallah Computer Vision and Pattern Recognition 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 estimate the intention of underlying changes considering change in semantics of an image. Our experiments show high accuracy using a large real dataset. |
| title | Determining Intent of Changes to Ascertain Fake Crowdsourced Image Services |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2403.12045 |