Encryption of motion vector based compressed video data

Title

Encryption of motion vector based compressed video data

Creator

Mishra M.K.; Mukhopadhyay S.; Biswas G.P.

Description

Enormous size of video data for natural scene and objects is a burden, threat for practical applications and thus there is a strong requirement of compression and encryption of video data. The proposed encryption technique considers motion vector components of the compressed video data and conceals them for their protection. Since the motion vectors exhibit redundancies, further reduction of these redundancies are removed through run-length coding prior to the application of encryption operation. For this, the motion vectors are represented in terms of ordered pair (val, run) corresponding to the motion components along the row and column dimensions, where val represents value of the motion vector while run represents the length of repetition of val. However, an adjustment for having maximal run is made by merging the smaller run value. Eventually we encrypted the val components using knapsack algorithm before sending them to the receiver. The method has been formulated, implemented and executed on real video data. The proposed method has also been evaluated on the basis of some performance measures namely PSNR, MSE, SSIM and the results are found to be satisfactory. Springer International Publishing Switzerland 2016.

Source

Smart Innovation, Systems and Technologies, Vol-51, pp. 349-357.

Date

2016-01-01

Publisher

Springer Science and Business Media Deutschland GmbH

Subject

Accordion matrix; CR; Motion compensation; Motion estimation; Motion vector; MSE; PSNR; Run-length coding

Coverage

Mishra M.K., Department of Computer Science, Christ University, Bangalore, 560029, India, Department of CSE, Indian School of Mines, Dhanbad, 826004, Jharkhand, India; Mukhopadhyay S., Department of Computer Science, Christ University, Bangalore, 560029, India, Department of CSE, Indian School of Mines, Dhanbad, 826004, Jharkhand, India; Biswas G.P., Department of Computer Science, Christ University, Bangalore, 560029, India, Department of CSE, Indian School of Mines, Dhanbad, 826004, Jharkhand, India

Rights

Restricted Access

Relation

ISSN: 21903018; ISBN: 978-331930926-2

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1007/978-3-319-30927-9_34

https://www.scopus.com/inward/record.uri?eid=2-s2.0-84969248507&doi=10.1007%2f978-3-319-30927-9_34&partnerID=40&md5=2869f18c5803e884a14c4f9863ae5bfd