A low complexity recovery temporal synchronization signals based on local variance statistics

Authors:
Ta-Te Lu;Wei-Lun Hsu;Pao-Chi Chang
Affiliations:
Department of Computer Science & Information Engineering, Ching Yun University, Chung-Li, Taiwan;Department of Communication Engineering, National Central University, Chung-Li, Taiwan;Department of Communication Engineering, National Central University, Chung-Li, Taiwan
Venue:
PCM'07 Proceedings of the multimedia 8th Pacific Rim conference on Advances in multimedia information processing
Year:
2007

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Abstract

Temporal attacks will affect temporal synchronization signals loss. In this paper, we propose a low complexity temporal synchronization recovery method using local variance statistics in each group of picture (GOP), which is regarded as the feature parameters and sent as side information to recover synchronization signals. The temporal distortions can be identified by comparision of the feature parameters and the feature statistics of the received watermarked video data. Simulation results show that the proposed method is more robust against temporal attacks.