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Author:

Zhao, Yingdi (Zhao, Yingdi.) | Zhuo, Li (Zhuo, Li.) | Niansheng, Mao (Niansheng, Mao.) | Zhang, Jing (Zhang, Jing.) | Li, Xiaoguang (Li, Xiaoguang.)

Indexed by:

EI Scopus

Abstract:

Multimedia information security has become a research hot topic in recent years. In this paper, an object-based unequal encryption method for H.264 compressed surveillance videos is proposed on the basis of bit-sensitivity analysis of bitstream. In the proposed method, moving object detection and segmentation is performed first, thus location information of the objects can be directly extracted from the H.264 bitstream. Then object regions and background in the surveillance video are encrypted unequally. The bits with the highest sensitivity in the macroblocks covering the object region are thoroughly encrypted while those in the background macroblocks are selectively encrypted. Experimental results have shown that the proposed object-based unequal encryption method is able to effectively ensure the security of surveillance scenes, while the required complexity is low. Furthermore, object detection and encryption are entirely operated in the compressed domain and the output encrypted bitstream remains format-compliant with H.264 standard and the compression ratio can also be maintained. © 2012 IEEE.

Keyword:

Security systems Object recognition Monitoring Security of data Binary sequences Cryptography Sensitivity analysis Object detection

Author Community:

  • [ 1 ] [Zhao, Yingdi]Signal and Information Processing Laboratory, Beijing University of Technology, Beijing, China
  • [ 2 ] [Zhuo, Li]Signal and Information Processing Laboratory, Beijing University of Technology, Beijing, China
  • [ 3 ] [Niansheng, Mao]Signal and Information Processing Laboratory, Beijing University of Technology, Beijing, China
  • [ 4 ] [Zhang, Jing]Signal and Information Processing Laboratory, Beijing University of Technology, Beijing, China
  • [ 5 ] [Li, Xiaoguang]Signal and Information Processing Laboratory, Beijing University of Technology, Beijing, China

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Year: 2012

Page: 419-424

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 10

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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