PATENT CLAIM ANALYSIS

Application Number: 15949246
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["348", "148000"]

Abstract:
A method for the semantic segmentation of an image having a two-dimensional arrangement of pixels comprises the steps of segmenting at least a part of the image into superpixels, determining image descriptors for the superpixels, wherein each image descriptor comprises a plurality of image features, feeding the image descriptors of the superpixels to a convolutional network and labeling the pixels of the image according to semantic categories by means of the convolutional network, wherein the superpixels are assigned to corresponding positions of a regular grid structure extending across the image and the image descriptors are fed to the convolutional network based on the assignment.

Claim (Index 12):
The system for the recognition of objects ( 10 ,  11 ,  13 ) from a motor vehicle, wherein the system includes a camera to be arranged at the motor vehicle and an image processing device for processing images ( 20 ) captured by the camera,\n characterized in that the image processing device is configured for carrying out a method in accordance with any one of  claims 1  to  11 .

Metadata:
- Claim Count in Document: 32.0
- Percentile: 91.0
- Lexical Diversity: 2.01852
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14463806', '16067819', '14624883', '14849346', '15517489']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6226787866287669
- 35 USC 102 Novelty (BERT): 0.4876527576628751
- Combined Prediction Score: 0.6091761837321777
- Mean Citation Score: 152.11734199999995
- Max Citation Score: 172.81381000000005
- Similarity Product: 114.54391073380827

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 0

Dataset: test