Patents by Inventor Elnaz Barshan Tashnizi

Elnaz Barshan Tashnizi has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20240087075
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating and decoding watermarks. An image and a data item is received. The encoder generates a first watermark and then a second watermark is generated using multiple first watermarks. The second watermark is used to watermark the image by overlaying the second watermark over the image. To decode the watermark, presence of a watermark is determined on a portion of an image. A distortion model determines distortions in the image and modifies the portion of the image based on the predicted distortions. The modified portion is decoded using the decoder to obtain a predicted first data item that is further used to validate the watermark based on the first data item.
    Type: Application
    Filed: January 11, 2022
    Publication date: March 14, 2024
    Inventors: Xiyang Luo, Feng Yang, Elnaz Barshan Tashnizi, Dake He, Ryan Matthew Haggarty, Michael Gene Goebel
  • Publication number: 20230362399
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for jointly training an encoder that generates a watermark and a decoder that decodes a data item encoded within the watermark. The training comprises obtaining a plurality of training images and data items. For each training image, a first watermark is generated using an encoder and a subsequent second watermark is generated by tiling two or more first watermarks. The training image is watermarked using the second watermark to generate a first error value and distortions are added to the watermarked image. A distortion detector predicts the distortions based on which the distorted image is modified. The modified image is decoded by the decoder to generate a predicted data item and a second error value. The training parameters of the encoder and decoder are adjusted based on the first and the second error value.
    Type: Application
    Filed: January 11, 2022
    Publication date: November 9, 2023
    Inventors: Xiyang Luo, Feng Yang, Elnaz Barshan Tashnizi, Dake He, Ryan Matthew Haggarty, Michael Gene Goebel
  • Publication number: 20230325959
    Abstract: 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.
    Type: Application
    Filed: June 21, 2021
    Publication date: October 12, 2023
    Inventors: Dake He, Tianhao Zhang, Elnaz Barshan Tashnizi, Xiyang Luo, Huiwen Chang, Feng Yang, Ryan Matthew Haggarty
  • Publication number: 20230325961
    Abstract: 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.
    Type: Application
    Filed: June 21, 2021
    Publication date: October 12, 2023
    Inventors: Dake He, Tianhao Zhang, Elnaz Barshan Tashnizi, Xiyang Luo, Huiwen Chang, Feng Yang, Ryan Matthew Haggarty