PATENT CLAIM ANALYSIS

Application Number: 15741781
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-01
Patent Classification: ["382", "156000"]

Abstract:
An image upscaling system includes at least two convolutional neural network modules and at least one synthesizer. The convolutional neural network module and the synthesizer are alternately connected to one another. The first convolutional neural network module receive an input image and the corresponding supplemental image, generate a first number of the feature images, and output them to the next synthesizer connected thereto. Other convolutional neural network modules each may receive the output image from the previous synthesizer and the corresponding supplemental image, generate a second number of feature images, and output them to the next synthesizer connected thereto, or output them from the image upscaling system. The synthesizer may synthesize every n*n feature images in the received feature image into one feature image and output the resultant third number of feature images to the next convolutional neural network module connected thereto or output them from the image upscaling system.

Claim (Index 8):
The method according to  claim 7 , further comprising:\n checking whether the parameter of the image upscaling system satisfies a predetermined condition; stopping training of the image upscaling system in response to the parameter of the image upscaling system satisfying the predetermined condition; and continuing to perform the training of the image upscaling system in response to the parameter of the image upscaling system not satisfying the predetermined condition.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 86.0
- Lexical Diversity: 2.84211
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15821095', '15745091', '15784039', '15842402', '15518404']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3114476004280056
- 35 USC 102 Novelty (BERT): 0.5275758723070328
- Combined Prediction Score: 0.3330604276159083
- Mean Citation Score: 270.06995
- Max Citation Score: 328.58008
- Similarity Product: 230.3313376696587

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

Dataset: test