PATENT CLAIM ANALYSIS

Application Number: 15864142
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["382", "157000"]

Abstract:
Disclosed is a method for generating a semantic image labeling model, comprising: forming a first CNN and a second CNN, respectively; randomly initializing the first CNN; inputting a raw image and predetermined label ground truth annotations to the first CNN to iteratively update weights thereof so that a category label probability for the image, which is output from the first CNN, approaches the predetermined label ground truth annotations; randomly initializing the second CNN; inputting the category label probability to the second CNN to correct the input category label probability so as to determine classification errors of the category label probabilities; updating the second CNN by back-propagating the classification errors; concatenating the updated first and second CNNs; classifying each pixel in the raw image into one of general object categories; and back-propagating classification errors through the concatenated CNN to update weights thereof until the classification errors less than a predetermined threshold.

Claim (Index 4):
The method of  claim 3 , wherein the second CNN utilizes a plurality of globally-shared filters to update local label contexts of the pixels; wherein each globally-shared filter produces a matching cost of the label contexts, and the globally-shared filter with minimum matching cost represents one type of local label context.

Metadata:
- Claim Count in Document: 16.0
- Percentile: 86.0
- Lexical Diversity: 2.24658
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15081337', '15718554', '14724660', '13251459', '14463806']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3657301131270335
- 35 USC 102 Novelty (BERT): 0.5183418011079647
- Combined Prediction Score: 0.3809912819251266
- Mean Citation Score: 250.145576
- Max Citation Score: 307.68814
- Similarity Product: 210.9988499392068

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

Dataset: test