PERCEPTABILITY MODEL APPLIED TO WATERMARK SIGNALS

Patent №

US 8,098,882

Granted

2012-01-17

Filed 2008

Owner

DIGIMARC CORPORATION

Lab

AI components

1

planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12057745

This document relates generally to digital watermarking. One claim recites a method including: obtaining data representing visual media; determining a model through iteratively embedding a digital watermark signal in the data; and embedding the digital watermark signal in the data according to the model. The model maximizes robustness of the digital watermark signal while minimizing perceptibility of the digital watermark signal when the signal is embedded in the data. A new embedding form or embedding mask is created after each embedding iteration. Of course, other combinations are described and claimed as well.

PlanningG06T 1/0028H04N 1/32149H04N 1/32192H04N 1/32229H04N 1/32309H04N 1/3232G06T 2201/0051G06T 2201/0202

AI classification

Planning0.65
Vision0.46
Evolutionary computation0.20
Knowledge representation0.14
AI hardware0.04
Machine learning0.00
Speech0.00
Natural language0.00

Ownership

DIGIMARC CORPORATION

assignment · 252290153

Assignors

REED, ALASTAIR M., ROGERS, ELIOT

On an employer assignment, the assignors are typically the inventors.

From the same owner

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