PATENT CLAIM ANALYSIS

Application Number: 15907773
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-09
Patent Classification: ["345", "442000"]

Abstract:
Vector format based computer graphics tools have become very powerful tools allowing artists, designers etc. to mimic many artistic styles, exploit automated techniques, etc. and across different simulated physical media and digital media. However, hand-drawing and sketching in vector format graphics is unnatural and a user's strokes rendered by software are generally unnatural and appear artificial. In contrast to today's hand-drawing and sketching which requires significant training of and understanding by the user of complex vector graphics methods embodiments of the invention lower the barrier to accessing computer graphics applications for users in respect of making hand-drawing or sketching easier to perform. Accordingly, the inventors have established a direct vector-based hand-drawing/sketching entry format supporting any input methodology.

Claim (Index 4):
The method according to  claim 1 , wherein\n converting the plurality of discrete user generated strokes comprises:\n analyzing multi-dimensional properties of each acquired data point within the acquired data points to infer overall intent; \n generate an output in dependence upon the inferred overall intent; and \n processing the inferred overall intent to improve the final result.

Metadata:
- Claim Count in Document: 24.0
- Percentile: 88.0
- Lexical Diversity: 1.52941
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15664007', '14822966', '11676656', '11676706', '11676694']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.663496217063594
- 35 USC 102 Novelty (BERT): 0.5055603612497772
- Combined Prediction Score: 0.6477026314822123
- Mean Citation Score: 207.21081
- Max Citation Score: 252.65169
- Similarity Product: 170.45827282069266

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

Dataset: test