PATENT CLAIM ANALYSIS

Application Number: 16027455
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-01
Patent Classification: ["358", "001130"]

Abstract:
An image processing apparatus includes: a print job generator configured to perform optimization processing for optimizing an arrangement of a plurality of images and generate a print job instructing a printer to print the plurality of optimized images; an interruption detector configured to detect an interruption of the print job; and a reprint job generator configured to generate a reprint job instructing the printer to print unprinted images, of which printing is not completed, among the plurality of images if the interruption detector detects the interruption of the print job. The reprint job generator executes a first mode that performs the optimization processing on the unprinted images, of which the printing is not completed, among the plurality of images and generates, as the reprint job, a first reprint job instructing the printing of the unprinted images on which the optimization processing is performed.

Claim (Index 7):
The image processing apparatus according to  claim 1 , wherein\n the reprint job generator allows another printer different from the printer to execute the reprint job when the printer that executes the print job is not available to be used.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 95.0
- Lexical Diversity: 2.90566
- Patent Class: 358.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15476355', '15216803', '13660701', '15216760', '11111653']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4984630463725101
- 35 USC 102 Novelty (BERT): 0.5055085941251298
- Combined Prediction Score: 0.4991676011477721
- Mean Citation Score: 222.852968
- Max Citation Score: 224.95488
- Similarity Product: 157.1747301031494

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