Efficient H.264/AVC Video Scrambling Methods for Digital Rights Management


KIPS Transactions on Computer and Communication Systems, Vol. 1, No. 3, pp. 187-192, Dec. 2012
10.3745/KTCCS.2012.1.3.187,   PDF Download:

Abstract

This paper describes efficient H.264/AVC video scrambling methods for digital rights management. The proposed scrambling methods are to scramble level and suffix in entropy encoding and MVD in motion estimation of the H.264 video compression process. Other scrambling methods have been proposed but they degrade the compression efficiency or make it difficult to achieve real-time processing due to the large amount of computational efforts. Since the proposed scrambling methods resolve the drawbacks of other approaches, they do not cause image distortion and the original compression efficiency is maintained. We verified our scrambling methods and evaluated the performance by conducting several experiments with H.264 reference program. Finally, we implemented video player system using USB dongle in order to apply the proposed scrambling/descrambling methods to H.264 video compression.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from September 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article
[IEEE Style]
S. Kim, G. Park, K. Cho, "Efficient H.264/AVC Video Scrambling Methods for Digital Rights Management," KIPS Transactions on Computer and Communication Systems, vol. 1, no. 3, pp. 187-192, 2012. DOI: 10.3745/KTCCS.2012.1.3.187.

[ACM Style]
Soojin Kim, Geun Park, and Kyeongsoon Cho. 2012. Efficient H.264/AVC Video Scrambling Methods for Digital Rights Management. KIPS Transactions on Computer and Communication Systems, 1, 3, (2012), 187-192. DOI: 10.3745/KTCCS.2012.1.3.187.