Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Embedding Watermarks in 3D models using an Neuro Adaptive Decision System

Embedding Watermarks in 3D models using an Neuro Adaptive Decision System

Lunar, Dawn Apollo

Paperback

Technology & EngineeringGeneral ComputersGeneral Science

ISBN13: 9798230004202
Publisher: Independent Publisher
Published: Nov 22 2024
Pages: 122
Weight: 0.66
Height: 0.26 Width: 8.50 Depth: 11.00
Language: English

Watermarking is a very essential solution for copyright protection of different multimedia contents. This method wisely hides some useful information in the efficient part of the original content. The secretly embedded data is called as the watermark. The watermark data may consists of information about owners' identification, owners' message, access rules of the document, logos, images, and audio. Figure 1.1 shows broadly the concept of a general digital watermarking process. In this process, the digital watermark [1] such as copyright or ownership data is secretly embedded into the original data. The watermarked data is then distributed to various users instead of the original data. If the copyright of the distributed data requires to be proved, watermark can be extracted from the watermarked model by using the appropriate extraction algorithm.

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