ZOOM AGNOSTIC WATERMARK EXTRACTION: abstract simplified (17926213)

• This abstract for appeared for patent application number 17926213 Titled 'ZOOM AGNOSTIC WATERMARK EXTRACTION'

Simplified Explanation

This abstract describes methods and systems for detecting and decoding watermarks in images. A watermark detection apparatus uses a machine learning model to determine if an image contains a visually imperceptible or perceptible watermark. If a watermark is detected, the image is sent to a watermark decoder. If no watermark is detected, the image is filtered out. The watermark decoder then decodes the detected watermark, and the item depicted in the image is validated based on the data extracted from the decoded watermark.

Original Abstract Submitted

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for detecting and decoding a visually imperceptible or perceptible watermark. A watermark detection apparatus determines whether the particular image includes a visually imperceptible or perceptible watermark using detector a machine learning model. If the watermark detection apparatus detects a watermark, the particular image is routed to a watermark decoder. If the watermark detection apparatus cannot detect a watermark in the particular image, the particular image is filtered from further processing. The watermark decoder decodes the visually imperceptible or perceptible watermark detected in the particular image. After decoding, an item depicted in the particular image is validated based data extracted from the decoded visually imperceptible or perceptible watermark.