Survey on Feature Extraction Techniques for Outsourced Encrypted Multimedia Content Data Analysis

Authors

  • Pranjali M Marne  Department of Computer Network, Sinhgad College of Engineering, Savitribai Phule, Pune University, Pune, 411041, Maharashtra, India.
  • Prof. P.M.Kamde  Department of Computer Network, Sinhgad College of Engineering, Savitribai Phule, Pune University, Pune, 411041, Maharashtra, India.

Keywords:

Personal multimedia data, Outsourced Multimedia data, Cloud computing.

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.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-04-30

Issue

Volume 3, Issue 4, March-April-2018

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Pranjali M Marne, Prof. P.M.Kamde, " Survey on Feature Extraction Techniques for Outsourced Encrypted Multimedia Content Data Analysis, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 4, pp.254-260, March-April-2018.