Watermark Embedder Using Derivative Parameter Generation
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Solution Overview
Problem
Existing methods for embedding multiple watermarks in a single piece of content often result in interference between watermarks, making detection difficult and increasing the effort required for extraction, especially when storage capacity is limited.
Innovation Solution
The use of a derivative function to generate embedding parameters by applying it one or multiple times to an initial value, allowing for efficient storage and generation of various embedding parameters, and enabling flexible access rights management through cryptographic one-way functions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple watermarks are embedded in a single information representation using conventional methods, then watermark embedding capability is provided, but watermark detection becomes difficult and extraction effort greatly increases
Solution Approach 1:
The patent segments the watermark embedding process by assigning each watermark its own dedicated embedding parameter (derived from distinct initial values through derivative functions). This segmentation isolates watermarks from mutual interference, making each watermark detectable independently through its specific parameter without being affected by other embedded watermarks.
Solution Approach 2:
The patent introduces derivative functions as intermediaries that transform initial values into embedding parameters. This intermediary mechanism enables systematic generation of unique parameters for each watermark, facilitating organized multi-watermark embedding while maintaining detectability through the parameter-initial value correspondence.
2Adaptability or versatility
If multiple watermarks are embedded in a single information representation, then watermark embedding capability is provided, but the effort required to extract multiple watermarks greatly increases
Solution Approach 1:
The patent segments the watermark extraction process by maintaining distinct embedding parameters for each watermark. This segmentation allows detectors to extract watermarks independently and efficiently, reducing the overall extraction effort compared to conventional methods where watermarks interfere with each other.
Solution Approach 2:
The patent performs preliminary action by pre-defining embedding parameters through derivative functions before watermark embedding. This preliminary parameter generation simplifies the subsequent extraction process, as detectors can directly use these predetermined parameters to efficiently extract watermarks without complex computational overhead.
3Adaptability or versatility
If multiple embedding parameters are stored for different watermarks, then watermark embedding capability is provided, but storage overhead increases
Solution Approach 1:
The patent extracts only the essential initial values for storage, deriving all embedding parameters on-demand through derivative functions. This extraction approach eliminates the need to store complete sets of embedding parameters, significantly reducing storage overhead while maintaining full watermark embedding capability.
Solution Approach 2:
The patent uses derivative functions to generate embedding parameters as computational copies of initial values rather than storing them directly. This copying mechanism allows the system to maintain multiple embedding parameters through computation from a single stored initial value, reducing storage requirements while preserving functionality.
Data Source
AI summary
An embedder for embedding a watermark into an input information representation includes an embedding parameter determiner, which is designed to apply a derivative function to an initial value once or multiple times to obtain an embedding parameter for embedding the watermark into the input information representation. The embedder further includes a watermark adder, which is designed to apply the watermark to the input information representation using the embedding parameter. The embedder is designed to select how many times the derivative function is applied to the initial value.