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Real-time watermark embedding in HD videos can be achieved by following these optimization guidelines



Real-time watermarking techniques are used to protect broadcast content that must be distributed quickly and efficiently. Premium DRM protected content is further safeguarded against malicious attacks with their help. Video watermarking in high-resolution files has been made possible through the development of dedicated hardware such as FPGAs and media preprocessors. ASICs (Application Specific Integrated Circuits) or DSPs (Digital Signal Processors) are commonly used to implement multimedia applications because of the high volume of computation required to handle multimedia data.

An effective video watermarking service must be able to deter piracy, identify the piracy outlets, and take the necessary steps to prevent leakage of the video content. In order to detect piracy, keep an eye out for suspicious activity and compare the digital fingerprints of suspicious files to the production fingerprint. The watermarking software is then able to identify the watermark and extract the information contained therein. Resize and collusion attempts, for example, shouldn’t affect the robustness of the watermark. It should also remain legible even after the content has been altered. It’s also possible to take legal action after discovering the source of a stream that is being illegally downloaded.

These applications can also benefit from the following optimizations:

  1. An optimised application can be created by utilising a current-generation compiler. Good codes can be generated this way from the start.
  2. Making the most efficient use of memory resources, such as prefetching data, minimising memory references, and arranging code to minimise instruction cache misses and optimise prefetch.
  3. Keeping branching penalties to a minimum:
  4. Reducing the number of branching instructions, such as the unroll
  5. ing of small loops
  6. Organizing code in a way that reduces the likelihood of the branch prediction algorithm making a mistake (for e.g.: forward conditional branches are usually not taken whereas backward conditional branches are).
  7. Latencies can be scheduled using software pipelining.
  8. Starting the real-time watermark embedding optimizations from the most computationally intensive components.
  9. Inquiring into the best algorithm for multimedia extension (MMX). This aids in getting the most out of the system. video watermarking algorithms should be tested to see if any changes can improve performance after identifying the computationally intensive sections. To improve performance, different algorithms can be used in conjunction with each other.
  10. It’s important to know where in the application data values can be converted to integers (fixed-point) while still preserving the required precision and range: Integer data types of 8-bit and 16-bit precision are well-served by MMX instructions. However, some DSP must be done in the floating-point domain as well. Even hand-optimized floating-point assembly codes can benefit from MMX’s significant speedups in certain DSP and multimedia applications. Image processing applications benefit from MMX’s high throughput and precision requirements, which rarely go beyond 8 bits.
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