CSEIT1833254 | Received : 10 March 2018 | Accepted : 21 March 2018 | March-April-2018 [ (3) 4 : 254-260 ] International Journal of Scientific Research in Computer Science, Engineering and Information Technology © 2018 IJSRCSEIT | Volume 3 | Issue 4 | ISSN : 2456-3307 254 Survey on Feature Extraction Techniques for Outsourced Encrypted Multimedia Content Data Analysis Pranjali M Marne, Prof. P.M.Kamde Department of Computer Network, Sinhgad College of Engineering, Savitribai Phule, Pune University, Pune, 411041, Maharashtra, India. ABSTRACT Currently, most data owners are interested in outsourcing their large amount of personal multimedia data in the cloud. In such cases, sometimes these outsourced multimedia data may disclose the private information of the owner of the information. Therefore, there is a need for a strong protocol. Currently, most of the techniques have been developed to support the efficient and safe extraction of functions over the outsourced multimedia data. These surveys also make comparative analysis of such techniques, which represents the advantages and limitations. Also after analyzing the techniques, the authors provide a general framework of the system that will be better than the proposed system. Keywords : Personal multimedia data, Outsourced Multimedia data, Cloud computing. I. INTRODUCTION Increasing the cloud-based data services, data owners are store their huge amount of personal multimedia data files and computationally expensive task onto remote cloud server. While taking part in the plentiful storage and computation assets for price saving and flexibility, the outsourcing of statistics garage and computation to the cloud moreover increases great safety and privacy worries due to the diverse trust domains the facts proprietor and the cloud belong to . As Cloud Computing gets to be fundamental, increasingly more sensitive statistics are being centralized into the cloud, as an instance, emails, non-public fitness records, private films and pix, agency finance information, government documents, and so forth. The aid of putting away their information into the cloud, the facts owners can be relieved from the load of records garage and maintenance so as to enjoy the on-demand excessive quality records storage carrier. anyways, the manner that information proprietors and cloud server are not inside the identical relied on domain may positioned the outsourced information at danger, because the cloud server may additionally now not be absolutely confided in this kind of cloud situation, due to numerous reasons: the Cloud server might also leak information data to unauthorized entities or be hacked. It follows that sensitive information typically should be encrypted previous to outsourcing for facts private ness and preventing unsolicited accesses. However, information encryption makes effective facts use an exceptionally tough challenge given that there could be quite a few outsourced statistics documents. Additionally, in Cloud Computing, information proprietors may also percentage their outsourced facts to an extensive number of customers. The person clients may