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 18):
The system of  claim 10 , further comprising, for each virtual image of the set of virtual images:\n accessing a set of labels that correspond to the virtual image, each label of the set of labels indicating that a subset of a set of pixels in the virtual image correspond to a particular labeled element; determining a set of style weights to be applied to a set of image styles based on the set of labels, wherein the set of image styles includes the image style and one or more other image styles; and transferring, for each other image style of the one or more other image styles, the other image style to virtual image, wherein the stylized virtual image further incorporates transfer of each other image style of the set of image styles; wherein the transferring of each of the set of image styles is performed in accordance with a style weight of the set of style weights.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 99.0
- Lexical Diversity: 2.1
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15997408', '15174628', '15476205', '15444583', '15970831']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2569412807960887
- 35 USC 102 Novelty (BERT): 0.5226734096386482
- Combined Prediction Score: 0.2835144936803447
- Mean Citation Score: 166.48781200000005
- Max Citation Score: 301.7568
- Similarity Product: 209.5187020837784

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