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 1):
A method for the semantic segmentation of an image ( 20 ) having a two-dimensional arrangement of pixels, comprising the steps:\n segmenting at least a part of the image into superpixels ( 30 ), wherein the superpixels ( 30 ) are coherent image regions comprising a plurality of pixels having similar image features, 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 ( 40 ) and labeling the pixels of the image ( 20 ) according to semantic categories by means of the convolutional network ( 40 ), wherein\n the superpixels ( 30 ) are assigned to corresponding positions of a grid structure ( 37 ) extending across the image ( 20 ) and the image descriptors are fed to the convolutional network ( 40 ) based on the assignment, \n characterized in that\n the grid structure ( 37 ) is a regular grid structure, wherein the assigning of the superpixels ( 30 ) to corresponding positions of the regular grid structure ( 37 ) is carried out by means of a grid projection process.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 91.0
- Lexical Diversity: 2.01852
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14463806', '16067819', '14624883', '14849346', '15517489']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5916398308768092
- 35 USC 102 Novelty (BERT): 0.4961774579560739
- Combined Prediction Score: 0.5820935935847357
- Mean Citation Score: 152.11734199999995
- Max Citation Score: 172.81381000000005
- Similarity Product: 102.4496955049062

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

Dataset: test