PATENT CLAIM ANALYSIS

Application Number: 16012629
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["348", "159000"]

Abstract:
In a case where image processing is performed by a plurality of image processing apparatuses, even if some of the plurality of image processing apparatuses cannot execute processing, adverse effects thereof can be reduced. An image processing apparatus determines whether to execute image processing based on additional information about an image acquired from another image processing apparatus.

Claim (Index 1):
An image processing apparatus comprising:\n a first acquisition unit configured to acquire, from a first another image processing apparatus, an image based on image capturing by a first imaging apparatus and additional information about the image; a second acquisition unit configured to acquire an image captured by a second imaging apparatus different from the first imaging apparatus; a determination unit configured to determine whether to execute predetermined image processing for generating a virtual viewpoint image, by using the image acquired by the first acquisition unit and the image acquired by the second acquisition unit based on the additional information acquired by the first acquisition unit; and a processing unit configured to execute the predetermined image processing in a case where the determination unit determines that the predetermined image processing is executed.

Metadata:
- Claim Count in Document: 30.0
- Percentile: 94.0
- Lexical Diversity: 1.55
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15856327', '15803532', '15892209', '15663163', '15685939']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6140584398891912
- 35 USC 102 Novelty (BERT): 0.4789595848847183
- Combined Prediction Score: 0.6005485543887439
- Mean Citation Score: 185.862426
- Max Citation Score: 201.06012
- Similarity Product: 152.50391723158126

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