The article proposes a novel framework to assess the trustworthiness of crowdsourced images by focusing on changes in non-functional attributes. It introduces the concept of intention as a key parameter to ascertain fake images. The framework utilizes semantic analysis and clustering to estimate intention and translate it into fakeness. Experiments show high accuracy using real datasets.
Egy másik nyelvre
a forrásanyagból
arxiv.org
Mélyebb kérdések