초록 ▼

Described herein is an audio watermarking technology for detecting watermarks in audio signals, such as a music clip. The watermark identifies the content producer, providing a signature that is embedded in the audio signal and cannot be removed. The watermark is designed to survive all typical kind

Described herein is an audio watermarking technology for detecting watermarks in audio signals, such as a music clip. The watermark identifies the content producer, providing a signature that is embedded in the audio signal and cannot be removed. The watermark is designed to survive all typical kinds of processing and all types of malicious attacks that attempt to remove or modify the watermark from the signal. The implementations of the watermark detecting system, described herein, support quick, efficient, and accurate detection of watermarks by the specifically designed watermark detecting system. In one described implementation, a watermark detecting system employs an improved normalized covariance test to determine the presence of a watermark using less expensive materials (hardware), quicker calculations, and a more accurate test (than the original correlation test). In other described implementations, a watermark detecting system employs a cepstrum filter and dynamic processing to minimize the affect of the “noise” in the watermarked signal. The “noise” is the original content of the signal before such signal was watermarked. In still another described implementation, a watermark detecting system employs a mechanism for random detection threshold so that the act of watermark detection does not provide decipherable clues to a digital pirate as to the value or location of the embedded watermark.

대표청구항 ▼

Described herein is an audio watermarking technology for detecting watermarks in audio signals, such as a music clip. The watermark identifies the content producer, providing a signature that is embedded in the audio signal and cannot be removed. The watermark is designed to survive all typical kind

Described herein is an audio watermarking technology for detecting watermarks in audio signals, such as a music clip. The watermark identifies the content producer, providing a signature that is embedded in the audio signal and cannot be removed. The watermark is designed to survive all typical kinds of processing and all types of malicious attacks that attempt to remove or modify the watermark from the signal. The implementations of the watermark detecting system, described herein, support quick, efficient, and accurate detection of watermarks by the specifically designed watermark detecting system. In one described implementation, a watermark detecting system employs an improved normalized covariance test to determine the presence of a watermark using less expensive materials (hardware), quicker calculations, and a more accurate test (than the original correlation test). In other described implementations, a watermark detecting system employs a cepstrum filter and dynamic processing to minimize the affect of the “noise” in the watermarked signal. The “noise” is the original content of the signal before such signal was watermarked. In still another described implementation, a watermark detecting system employs a mechanism for random detection threshold so that the act of watermark detection does not provide decipherable clues to a digital pirate as to the value or location of the embedded watermark. The method as recited in claim 1, wherein said cost depends on said time allocation and a billing rate for said individual team member.7. The method as recited in claim 1, wherein said cost is broken down for each of a plurality of stages for building said capacity modeling and planning where said stages include at least one of a plan and manage stage, a capability analysis stage a capability release design stage, a capability release build and test stages, and a deployment stage.8. The method as recited in claim 1, wherein said time allocation is used to generate a project work plan.9. The method as recited in claim 8, wherein said work plan is broken down for each of a plurality of stages for building said capacity modeling and planning where said stages are a plan and manage stage, a capability analysis stage, a capability release design stage, a capability release build and test stages, and a deployment stage.10. The method as recited in claim 9, wherein said plan and manage stage is broken down for each of a plurality of task packages where said task packages are plan project execution, organize project resources, control project work, and complete project.11. The method as recited in claim 1, wherein said billing rate is used to generate a financial summary of said cost.12. A computer system for allocating time and computing cost for building a capacity modeling and planning function in an information technology system, comprising: a processor; a software program for receiving a plurality of estimating factors and difficulty rating for each of said estimating factors and generating a time allocation and cost for building said capacity modeling and planning; and a memory that stores said time allocation and cost under control of said processor.