PATENT CLAIM ANALYSIS

Application Number: 16265417
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-05
Patent Classification: ["382", "159000"]

Abstract:
A set of virtual images can be generated based on one or more real images and target rendering specifications, such that the set of virtual images correspond to (for example) different rendering specifications (or combinations thereof) than do the real images. An image style can be transferred to the at least some of the virtual images of the set of virtual images to generate a stylized virtual image. A machine-learning model can be trained using a plurality of stylized virtual images. Another real image can then be processed using the trained machine-learning model. The processing can include segmenting the other real image to detect whether and/or which objects are represented (and/or a state of the object). The object data can then be used to identify (for example) a state of a procedure.

Claim (Index 15):
The system of  claim 10 , wherein transferring the image style to the virtual image is performed in accordance with a blending weight, and wherein the transferring includes:\n generating a fully stylized version of the virtual image using the virtual image and a representation of the image style; identifying the blending weight; and generating the stylized virtual image by blending the virtual image with the fully stylized version in accordance with the blending weight.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 99.0
- Lexical Diversity: 2.1
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15997408', '15174628', '15476205', '15444583', '15970831']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2801767972163917
- 35 USC 102 Novelty (BERT): 0.5258997657659115
- Combined Prediction Score: 0.3047490940713437
- Mean Citation Score: 166.48781200000005
- Max Citation Score: 301.7568
- Similarity Product: 204.3360773328781

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