PATENT CLAIM ANALYSIS

Application Number: 15986138
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["345", "594000"]

Abstract:
An apparatus and a method for coloring line drawing is disclosed for: acquiring line drawing data; performing reduction processing on the line drawing data to be a predetermined reduced size to obtain reduced line drawing data; coloring the reduced line drawing data based on a first learned model which is learned in advance using sample data; and coloring original line drawing data with the colored reduced data and the original line drawing data as inputs based on a second learned model which is learned in advance.

Claim (Index 15):
A coloring apparatus comprising:\n a processor; and a memory storing a program to color coloring target data, the program comprising instructions executable by the processor during operation to: display, on a display screen, a form region for a user to identify the coloring target data; display, in a coloring target image display region provided on the display screen, an image representing the coloring target data inputted; and display, in a colored image display region provided on the display screen, a colored image representing colored image data obtained by performing coloring processing on the coloring target data based on at least one learned model, wherein the at least one learned model is learned in advance by at least one sample data group.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 93.0
- Lexical Diversity: 2.16667
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['12401066', '13929532', '12541857', '15474400', '14532483']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6122199245045435
- 35 USC 102 Novelty (BERT): 0.4864522272188142
- Combined Prediction Score: 0.5996431547759706
- Mean Citation Score: 135.55780799999997
- Max Citation Score: 145.7481
- Similarity Product: 90.67534797223806

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

Dataset: test