PATENT CLAIM ANALYSIS

Application Number: 15912361
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["382", "156000"]

Abstract:
The present disclosure provides a picture recognition method and apparatus, a computer device and a computer-readable medium. The method comprises: obtaining a to-be-recognized picture; according to the to-be-recognized picture and a pre-trained picture recognition model, acquiring a predicted class tag of the to-be-recognized picture; the pre-trained picture recognition model employs a convolutional neural network model, and the convolutional neural network model comprises at least one layer of kernel pooling layer upgrading a dimensionality of a channel from one dimension to multiple dimensions; recognizing a class of the to-be-recognized picture according to the predicted class tag of the to-be-recognized picture. By recognizing the to-be-recognized picture by using the picture recognition model having the kernel pooling layer, the present disclosure can achieve recognition of picture classes with finer granularities and effectively improve the picture recognition accuracy and efficiency.

Claim (Index 4):
The method according to  claim 3 , wherein the training the picture recognition model according to the several training pictures in the training picture database and classes of the training pictures specifically further comprises:\n according to the training of the picture recognition model performed by the several training pictures in the training picture database in each round of training, using the several training pictures in the training picture database to repeatedly train the picture recognition model N rounds, to obtain a final picture recognition model.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 90.0
- Lexical Diversity: 2.33333
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15524944', '15207070', '15380120', '15352821', '10099388']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3287959936879004
- 35 USC 102 Novelty (BERT): 0.5135412457288131
- Combined Prediction Score: 0.3472705188919917
- Mean Citation Score: 237.963258
- Max Citation Score: 252.74612
- Similarity Product: 166.20203346713066

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

Dataset: test