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US 2025/0124704 A1Published application
Enhanced neural network systems and methods for predicting image synchronization
AssigneeDigimarc Corporation
InventorsDimitris Chachakis, Tomas Filler
Life of this patent
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Abstract
One aspect of the technology includes recovering image affine transforms via CNN-based classification and regression. Another aspect of the technology is a CNN-based network to detect a presence/absence of a digital watermark signal and recovery of affine transform coefficients associated with an image template. Other aspects, features and arrangements are also described and claimed.
Claims27
1-32. (canceled)
A system comprising:
- a processor;
- and
- memory storing instructions that, when executed by the processor, cause the system to:
- receive input imagery;
- process the input imagery using a convolutional neural network (CNN) to extract image features;
- analyze extracted image features using a plurality of fully connected (FC) layers to:
- detect presence or absence of a digital watermark signal embedded in the input imagery;
- classify an image rotation angle of the input imagery into one of a plurality of angle rotation bins;
- and
- refine a rotation angle estimate within a classified angle rotation bin;
- determine presence of the digital watermark signal based on output of a first FC layer;
- determine a refined rotation angle estimate for the input imagery based on outputs of a second FC layer and a third FC layer;
- and
- process the input imagery based on the refined rotation angle estimate.
11 more elements
44-54. (canceled)
A method comprising:
- receiving input imagery;
- processing the input imagery using a convolutional neural network (CNN) to extract image features;
- analyzing extracted image features using a plurality of fully connected (FC) layers to:
- detect presence or absence of a digital watermark signal embedded in the input imagery;
- classify an image rotation angle of the input imagery into one of a plurality of angle rotation bins;
- refine a rotation angle estimate within a classified angle rotation bin;
- classify an image scaling factor of the input imagery into one of a plurality of scaling bins;
- and
- refine a scaling factor estimate within a classified scaling bin;
- determining presence of the digital watermark signal based on output of a first FC layer;
- determining a refined rotation angle estimate for the input imagery based on outputs of second and third FC layers;
- determining a refined scaling factor estimate for the input imagery based on outputs of fourth and fifth FC layers;
- and
- processing the input imagery based on the refined rotation angle estimate and the refined scaling factor estimate.
11 more elements
A system for image analysis, comprising:
- means for receiving input imagery;
- means for extracting image features from the input imagery;
- means for detecting presence or absence of a digital watermark signal embedded in the input imagery based on extracted image features;
- means for classifying an image rotation angle of the input imagery into one of a plurality of angle rotation bins;
- means for refining a rotation angle estimate within a classified angle rotation bin;
- means for classifying an image scaling factor of the input imagery into one of a plurality of scaling bins;
- means for refining a scaling factor estimate within a classified scaling bin;
- and
- means for processing the input imagery based on a refined rotation angle estimate and a refined scaling factor estimate.
6 more elements
Dependencies are inferred from the claim text.