PATENT CLAIM ANALYSIS

Application Number: 15934629
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["345", "423000"]

Abstract:
Texture modeling techniques for image data are described. In one or more implementations, texels in image data are discovered by one or more computing devices, each texel representing an element that repeats to form a texture pattern in the image data. Regularity of the texels in the image data is modeled by the one or more computing devices to define translations and at least one other transformation of texels in relation to each other.

Claim (Index 11):
A computing device comprising:\n a processing system; and computer-readable storage media having instructions stored thereon that, responsive to execution by the processing system, causes the processing system to perform operations comprising:\n discovering self-similar patterns including a plurality of texels in image data, each of the texels representing an element that repeats for the plurality of textels to form a texture pattern in the image data; \n generating a model that describes regularity of the plurality of the texels in the image data; \n receiving an input identifying a new textel; \n replacing each of the plurality of textels as specified by the regularity of the model in the image data with the new textel; and \n outputting the image data having the new textel as repeated based on the model.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 1.71739
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15272732', '12570632', '13640203', '14209192', '15367086']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.561253837975085
- 35 USC 102 Novelty (BERT): 0.4819718905941901
- Combined Prediction Score: 0.5533256432369955
- Mean Citation Score: 137.351132
- Max Citation Score: 140.78951999999995
- Similarity Product: 95.97660056736945

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test