Multi-resolution based hybrid spatiotemporal compression of encrypted videos

  • Authors:

  • Qiuming Yao;Wenjun Zeng;Wei Liu

  • Affiliations:

  • Computer Science Department, University of Missouri, Columbia, 65211, USA;Computer Science Department, University of Missouri, Columbia, 65211, USA;Computer Science Department, University of Missouri, Columbia, 65211, USA

  • Venue:
  • ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

Compression of encrypted data can be viewed as a special case of distributed source coding and can be achieved by applying Slepian-Wolf Coding. However, how to compress the encrypted video efficiently remains a challenging problem especially for those videos with irregular high motion. This paper proposes a novel multi-resolution based approach which makes it possible not only to effectively derive the temporal side information from previous frames, but also to generate the spatial side information by having partial access to the current frame. The spatial and temporal side information can then be integrated adaptively to facilitate the compression. Simulation results show that the proposed scheme significantly outperforms other schemes, especially for those video clips with irregular high motion.