Improved video watermark detection using statistically-adaptive accumulation

Isao Echizen, Yasuhiro Fujii, Takaaki Yamada, Satoru Tezuka, Hiroshi Yoshiura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Redundant coding is a basic method that embeds water-marks repeatedly in every frame or region and thus can prevent errors by the accumulation of the frames or the regions in watermark detection. It would not always be effective, however, because many kinds of image processing would remove watermarks from specific frames or regions and then remaining watermarks would be attenuated by the accumulation procedure of the frames or the regions from which watermarks were removed. We therefore propose a detection method preventing this attenuation by estimating bit-error rate from each watermarked region and selecting the regions so that the region accumulating the selected regions has the mimimal bit-error rate. Experimental evaluations have shown that the new method can improve watermark survivability after MPEG encoding by an average of 15.5% and can be widely used in statistically based watermarking.

Original languageEnglish
Title of host publicationKnowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings
PublisherSpringer Verlag
Pages300-308
Number of pages9
ISBN (Print)354028897X, 9783540288978
DOIs
Publication statusPublished - 2005 Jan 1
Externally publishedYes
Event9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005 - Melbourne, Australia
Duration: 2005 Sep 142005 Sep 16

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3684 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005
CountryAustralia
CityMelbourne
Period05/9/1405/9/16

Keywords

  • Bit-error rate
  • Improving detection
  • Video watermarking

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Improved video watermark detection using statistically-adaptive accumulation'. Together they form a unique fingerprint.

Cite this