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

Ta Te Lu, Wei Lun Hsu, Pao Chi Chang

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

1 Scopus citations

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.

Original languageEnglish
Title of host publicationAdvances in Multimedia Information Processing - PCM 2007 - 8th Pacific Rim Conference on Multimedia, Proceedings
PublisherSpringer Verlag
Pages433-436
Number of pages4
ISBN (Print)9783540772545
DOIs
StatePublished - 2007
Event8th Pacific-Rim Conference on Multimedia, PCM 2007 - Hong Kong, Hong Kong
Duration: 11 Dec 200714 Dec 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4810 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th Pacific-Rim Conference on Multimedia, PCM 2007
Country/TerritoryHong Kong
CityHong Kong
Period11/12/0714/12/07

Keywords

  • Synchronization
  • Temporal attacks
  • Temporal distortions

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