By Topic

Segmentation, classification and watermarking for image/video semantic authentication

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Ching-Yung Lin ; IBM T.J. Watson Res. Center, Hawthorne, NY, USA ; Tseng, B.L.

We propose a novel technique for image/video authentication at the semantic level. This method uses statistical learning, visual object segmentation and classification schemes for semantic understanding of visual content. This system embeds either the classification output or the user annotated model labels into multimedia data as watermarks. A robust rotation, scaling, and translation public watermarking method is used for embedding. The authentication process is executed by comparing the classification result with the information carried by the watermark. This method leads the authentication system to learn the semantic content of multimedia data and performs the authentication task in the semantic level.

Published in:

Multimedia Signal Processing, 2002 IEEE Workshop on

Date of Conference:

9-11 Dec. 2002