University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Efficient RobustWatermarking of Compressed 2-D Grayscale Patterns for H.264/AVC

Zhang, Jing and Ho, Anthony T. S. (2005) Efficient RobustWatermarking of Compressed 2-D Grayscale Patterns for H.264/AVC In: 2005 IEEE 7th Workshop on Multimedia Signal Processing.


Download (4MB)


An efficient and robust video watermarking algorithm for the state-of-the-art video coding standard H.264/AVC is proposed for copyright protection. Grayscale 2-D watermark patterns such as detailed trademarks or logos can be highly compressed by a proposed grayscale watermark pre-processing, and inserted into the low bit-rate H.264/AVC videos in the compressed domain. The marked video sequences maintain good visual quality and the same overall consuming bit-rate. The proposed algorithm can robustly survive transcoding process and common signal processing, such as bit-rate reduction, Gaussian filtering and contrast enhancement.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Divisions : Faculty of Engineering and Physical Sciences > Computing Science
Authors :
Zhang, Jing
Ho, Anthony T.
Date : 1 October 2005
DOI : 10.1109/MMSP.2005.248573
Additional Information : This article was published when Anthony T. S. Ho was at Nanyang Technological University, Singapore. In 2005 IEEE 7th Workshop on Multimedia Signal Processing, pp. 1-4.© 2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Depositing User : Mr Adam Field
Date Deposited : 27 May 2010 14:46
Last Modified : 16 Jan 2019 16:23

Actions (login required)

View Item View Item


Downloads per month over past year

Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800