In what way does the video watermark detection process reach users who are involved in the piracy ecosystem?

Digital content can be protected by adding a forensic watermark, which is a set of codes or a signal that helps identify the content’s owner and ensure the content’s integrity. By using this technology, legitimate users and owners can be protected from piracy. When encoding videos with watermarks, content producers use compression techniques like MPEG or other compression techniques, resizing, filtering, and D/A or A/D conversion.

The pirates are also operating in the same technological area. DRM protected content can also be processed using image processing techniques to remove or distort the embedded information. Video watermarks must be able to withstand a wide range of processing and alteration attacks in order to prevent these attacks from succeeding. In order to quickly remove stolen content from illegal streams, the identification/extraction method must also be quick, as in live streaming.

This means that even if an intelligence network discovers a copy of a watermarked video file later on, its watermark can be extracted from the copy to identify its leaker. As part of the watermark-extraction process, it is possible to determine where the video asset was leaked, whether it was through a pay-TV provider, an OTT platform or a content developer’s table. The reverse embedding approach is used in conjunction with the same video watermarking key that is used while embedding metadata to identify the presence of a watermark.

Moving visuals, known as frames, are encoded in a video using digitally encoded electronic representations. The aim of a detector is to link together consecutive frames of video to find a target object. The detector examines every frame of the video it believes has been pirated in order to identify the original data embedded during the video watermarking process. This technique, along with object recognition and artificial intelligence methods, is frequently used to detect watermarks in video assets. Watermarks that are difficult to detect, such as translucent or diffuse watermarks, have been developed by the multi-DRM vendor that embeds watermarks.

If the detector detects the watermark payload in the target video, the session information is then examined and compared to entries in the multi-DRM vendor’s watermark database. All of the watermark’s metadata values are checked against the database one by one. The content owner can then use the results of the detection and matching process to pinpoint the exact location of the leakage.

The subscription options for an OTT platform can also be tailored to different regions or genres. If you want to watch high-definition videos, Google’s Widevine technology can help. DRM technology providers provide processor-level security to OTT platforms. Allowing Android-based smartphones and smart TVs to run on the most profitable plans of OTT platforms increases revenue. Anti-piracy is best achieved when Widevine operates in the trusted execution environment (L1 security) of a processor.

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