US Patent Application 18008544. 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 18008544 Titled 'ZOOM AGNOSTIC WATERMARK EXTRACTION'
Simplified Explanation
This abstract describes methods, systems, and computer programs for determining and decoding watermarks in images. A watermark decoder uses a machine learning model to decode watermarks at different levels of zoom. It determines whether a watermark was successfully decoded and outputs a result based on this determination. This includes outputting a zoomed output of the decoded watermark.
Original Abstract Submitted
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining a visually imperceptible or a visually perceptible watermark and outputting a result based on the determination. A watermark decoder receives an input image. The watermark decoder applies a decoder machine learning model to decode a watermarks at different levels of zoom. The water mark decoder determines whether a watermark was decoded to obtain a decoded watermark. The watermark decoder outputs a result based on the determination whether the watermark was decoded through application of the decoder machine learning model to the input image that includes outputting a zoomed output decoded through application of the decoder machine learning model to the input image.
