cloud based multimedia content protection system

computer science

It is necessary to protect the content as multimedia content is increasing exponentially. For large scale multimedia content protection a new design was proposed. To provide cost efficiency, rapid deployment, scalability, and elasticity to adjust varying workloads our design leverages cloud infrastructures. The proposed system can be used to protect different multimedia content types, including 2-D videos, 3-D videos, images, audio clips, songs, and music clips. On private and/or public clouds the system can be deployed. Our system has two novel components: (i) method to create signatures of 3-D videos, and (ii) distributed matching engine for multimedia objects. In this method signatures are extracted or created from original multimedia objects and through online sites . Signatures are also created from query (suspected) objects downloaded from online sites. As this design is based on cloud infrastructures it achieves rapid deployment on content protection system. Our experiments with more than 11,000 3-D 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 3-D videos, while our system detects more than 98% of them. Our analysis shows that the system is more efficient both cost and storage wise.

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