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 10):
A system comprising:\n one or more data processors; and a non-transitory computer readable storage medium containing instructions which when executed on the one or more data processors, cause the one or more data processors to perform actions including: identifying a set of states represented in a procedural workflow; for each state of the set of states:\n accessing one or more base images that corresponds to the state; and \n generating, for each base image of the one or more base images, image-segmentation data; \n identifying a set of target rendering specifications, wherein the set of target rendering specifications include, for each image-parameter variable of one or more image-parameter variables, multiple different variable values for the image-parameter variable; generating a set of virtual images based on the set of target rendering specifications and the one or more base images, wherein, for each of the set of states, the set of virtual images includes at least one virtual image based on the base image that corresponds to the state; generating, for each virtual image of the set of virtual images, corresponding data that includes an indication of the state of the set of states with which the virtual image is associated; transferring, for each virtual image of at least some of the set of virtual images, an image style to the virtual image to generate a stylized virtual image; training a machine-learning model using a plurality of stylized virtual images to define a set of parameter values; accessing a real image; processing the real image via execution of the trained machine-learning model using the set of parameter values; generating, based on the processing, an output that corresponds to a particular state of the set of states; and presenting or transmitting the output.

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): 0.2583346266955765
- 35 USC 102 Novelty (BERT): 0.5100639321573858
- Combined Prediction Score: 0.2835075572417574
- Mean Citation Score: 166.48781200000005
- Max Citation Score: 301.7568
- Similarity Product: 279.40924207191466

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