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Spatial video watermarking based on stability of DC coefficients

  • School of Computer Science and Technology, Harbin Institute of Technology
  • Chinese Academy of Sciences

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Watermarking technology plays an important role in digital rights management. Many high performance watermark algorithms have been developed. However, most of them focused on image media. This paper presents a novel blind video watermarking algorithm based on the stability of the direct current (DC) coefficient values in blocks. This algorithm first selects some frames by a key, and then embeds watermark into its luminance component of each selected frame. The luminance component to be watermarked first is divided into sub-blocks with size 8 by 8, and then discrete cosine transform (DCT) is used to process each sub-block to get the DC coefficients. Rearranging these DC coefficients into sub-sequences with equal length, and each such sub-sequence is transformed by DCT and get the highest frequency coefficient. Finally, the watermark is embedded in the high frequency coefficient array. The correlation metric is used in the detection process. The experimental results indicate that the correlation curve peaks emerge at the watermarked I frames and P frames which suffered from MPEG-4 and H.264 compression. The proposed watermarking method has strong robustness against some attacks such as frame deleting, frame inserting, frame shifting, frame statistical average and collusion attack.

Original languageEnglish
Title of host publicationAdvances in Machine Learning and Cybernetics - 4th International Conference, ICMLC 2005, Revised Selected Papers
PublisherSpringer Verlag
Pages1033-1042
Number of pages10
ISBN (Print)3540335846, 9783540335849
DOIs
StatePublished - 2006
Externally publishedYes
Event4th International Conference on Machine Learning and Cybernetics, ICMLC 2005 - Guangzhou, China
Duration: 18 Aug 200521 Aug 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3930 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Conference on Machine Learning and Cybernetics, ICMLC 2005
Country/TerritoryChina
CityGuangzhou
Period18/08/0521/08/05

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