PATENT CLAIM ANALYSIS

Application Number: 15872821
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-03
Patent Classification: ["345", "426000"]

Abstract:
Techniques and systems for generating ink effects for an ink stroke are described. In particular, ink gradients for digital ink strokes are provided. The described techniques allow for inking input to be transformed into a structure in which conventional and unconventional graphics techniques can be applied. A digital ink system can receive an ink stroke having ink stroke information. The outline of the ink stroke can be identified, and the ink stroke information can be transformed into surface information within the outline of the ink stroke. A graphic effect can be applied to the ink stroke using the surface information.

Claim (Index 8):
One or more computer-readable storage media having instructions stored thereon that when executed by a processor, direct the processor to at least:\n receive an ink stroke with curvature, the ink stroke having ink stroke information; identify an outline of the ink stroke; transform the ink stroke information into surface information within the outline of the ink stroke by determining a gradient of a set of points within the outline of the ink stroke, wherein the determining of the gradient comprises, for each point, calculating a distance from the point to a nearest edge on the outline of the ink stroke to generate an edge distance value, wherein, the edge distance value for at least one point of the set of points is an approximate distance from the at least one point to the nearest edge on the outline of the ink stroke; and apply a graphic effect to the ink stroke using the surface information.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 86.0
- Lexical Diversity: 2.11765
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15871923', '15871928', '15871942', '15490738', '11343842']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6456574739387627
- 35 USC 102 Novelty (BERT): 0.4733775898288886
- Combined Prediction Score: 0.6284294855277753
- Mean Citation Score: 151.21386
- Max Citation Score: 175.34874
- Similarity Product: 133.97018923333167

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