CLOUD BASED MULTIMEDIA CONTENT PROTECTION SYSTEM

Abstract

We propose a new design for large-scale multimedia content protection systems. Our
design leveragescloud infrastructures to provide cost efficiency, rapid deployment, scalability, and
elasticity to accommodate varying workloads. The proposed system can be used to protect different
multimedia content types, including 2D videos, 3D videos, images, audio clips, songs, and music
clips. The system can be deployed on private and/or public clouds. Our system has two novel
components: (i) method to create signatures of 3D videos, and (ii) distributed matching engine for
multimedia objects. The signature method creates robust and representative signatures of 3D videos
that capture the depth signals in these videos and it is computationally efficient to compute and
compare as well as it requires small storage. The distributed matching engine achieves high
scalability and it is designed to support different multimedia objects. We implemented the proposed
system and deployed it on two clouds: Amazon cloud and our private cloud. Our experiments with
more than 11,000 3D videos and 1 million images show the high accuracy and scalability of the
proposed system. In addition, we compared our system to the protection system used by YouTube
and our results show that the YouTube protection system fails to detect most copies of 3D videos,
while our system detects more than 98% of them. This comparison shows the need for the proposed
3D signature method, since the state-of-the-art commercial system was not able to handle 3D
videos.