A Low Complexity Recovery Temporal Synchronization Signals Based on Local Variance Statistics

Autor:	Wei-lun Hsu, Ta-te Lu, Pao-Chi Chang
Rok vydání:	2007
Předmět:	Low complexity Recovery method Feature (computer vision) Computer science Local variance Statistics Synchronization (computer science) Side information
Zdroj:	Advances in Multimedia Information Processing – PCM 2007 ISBN: 9783540772545 PCM
DOI:	10.1007/978-3-540-77255-2_53
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d8c38e2e7fa06e158a20cf48e62b2a73 https://doi.org/10.1007/978-3-540-77255-2_53 Zobrazit plný text záznamu