Abstract: Multimedia content is commercially provides over public cloud. Content providers found cloud as a platform for rendering their services. However, they are losing their revenues due to pirated copies made by adversaries. In order to protect multimedia content over public cloud, it is important to have a mechanism for detecting duplicate objects. In this study a framework is proposed for multimedia image object protection in public cloud. The framework has provision for two procedures. The first procedure is reference registration of images into public cloud while the second one is to have a query object and perform matching for detection of pirated objects to trigger protection mechanism. We proposed an algorithm named Cloud Image Object Protection (CIOP) to realize the proposed framework. We collected image dataset known as Caltech 101 for experiments. Amazon AWS is used as public cloud while Amazon RDS is used for object storage. We built a prototype application to demonstrate proof of the concept. The experimental results reveal that the proposed system is capable of protecting multimedia image objects outsourced to public cloud. The results also show the execution time for loading images, signature generation and signature matching.