US Patent Application 17926213. ZOOM AGNOSTIC WATERMARK EXTRACTION simplified abstract
Contents
ZOOM AGNOSTIC WATERMARK EXTRACTION
Organization Name
Inventor(s)
Tianhao Zhang of Sunnyvale CA (US)
Elnaz Barshan Tashnizi of Toronto (CA)
Xiyang Luo of Mountain View CA (US)
Huiwen Chang of Cambridge MA (US)
Feng Yang of Sunnyvale CA (US)
Ryan Matthew Haggarty of Kitchener (CA)
ZOOM AGNOSTIC WATERMARK EXTRACTION - A simplified explanation of the abstract
- This abstract for appeared for US patent application number 17926213 Titled 'ZOOM AGNOSTIC WATERMARK EXTRACTION'
Simplified Explanation
This abstract describes methods, systems, and computer programs for detecting and decoding a watermark in an image. The process involves using a machine learning model to determine if the image contains a visually imperceptible or perceptible watermark. If a watermark is detected, the image is sent to a watermark decoder for further processing. If no watermark is detected, the image is filtered out. The decoder then decodes the watermark, and the extracted data is used to validate the item depicted in the image.
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.
