Ownership Identification of Multimedia Content Prediction on a Large Scale

Abstract

This article prepared with three main objectives, first it is to review the large size of multimedia file protection, second for ownership identification of the multimedia content and finally for implementing this setup for cloud based setup instead of web based service architecture. Therefore many of the infrastructure developed for multimedia content to enable the security against the file handling services for managing the better ownership identification. On private and/or public clouds, the device can be deployed. Our framework has two new components: (i) method of producing 3-D image signatures, and (ii) distributed multimedia object matching engine. The signature method produces stable and accurate 3-D video signatures capturing the depth signals in those videos as well as computationally efficient processing and comparison and having limited space. The corresponding distributed engine is highly scalable and designed to support different multimedia objects. We have introduced and deployed the proposed system on two clouds such as private and amazon based clouds.