PATENT CLAIM ANALYSIS

Application Number: 15907678
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-07
Patent Classification: ["382", "156000"]

Abstract:
A method and device for detecting objects from scene images by using dynamic knowledge base is disclosed. The method includes segmenting a scene image captured by at least one camera into a plurality of image segments. Each of the plurality of image segments include a plurality of pixels. The method further includes detecting at least one object in each of the plurality of image segments. The method includes finding a plurality of similar images from an online database based on the at least one object. The method further includes identifying using a knowledge base engine, at least one similar object in the plurality of similar images. The method includes updating the knowledge base engine based on the at least one similar object identified from the plurality of similar images. The method further includes training a neural network to detect objects from scene images, based on the updated knowledge base engine.

Claim (Index 13):
The image processing device of  claim 12 , the processor instructions cause the processor to assign a label to each of the plurality of image segments based on associated image characteristics.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 88.0
- Lexical Diversity: 2.75862
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13803334', '11419199', '14690346', '13397924', '15339616']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3421912696271178
- 35 USC 102 Novelty (BERT): 0.4923901569603484
- Combined Prediction Score: 0.3572111583604409
- Mean Citation Score: 156.878082
- Max Citation Score: 160.85997
- Similarity Product: 97.63752311950384

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