PATENT CLAIM ANALYSIS

Application Number: 15937132
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-10
Patent Classification: ["348", "208600"]

Abstract:
According to an aspect of the invention, an image blur correction device includes: a memory; and at least one processor operating in accordance with a program stored in the memory. The at least one processor comprises: a detection unit configured to detect motion amounts of images on the basis of imaged images; a calculation unit configured to calculate a motion amount of an object on the basis of the motion amounts of the images detected by the detection unit and a detection signal of blur detected by a blur detection unit; and a control unit configured to control the image blur correction unit on the basis of the motion amount of the object calculated by the calculation unit.

Claim (Index 1):
An image blur correction device that corrects blur of an object image by using an image blur correction unit, the object image being imaged by an imaging unit through an imaging optical system, the image blur correction device comprising:\n a memory; and at least one processor operating in accordance with a program stored in the memory, the at least one processor comprising: a detection unit configured to detect motion amounts of images on the basis of imaged images; a calculation unit configured to calculate a motion amount of an object on the basis of the motion amounts of the images detected by the detection unit and a detection signal of blur detected by a blur detection sensor; and a control unit configured to control the image blur correction unit on the basis of the motion amount of the object calculated by the calculation unit, wherein the detection unit detects the motion amounts of the images on the basis of settings, determines a correlation between the motion amounts of the images detected on the basis of the settings, and determines settings to be used to detect the motion amounts of the images on the basis of the correlation.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 90.0
- Lexical Diversity: 2.52
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15903663', '15359067', '15688951', '15213588', '15722158']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6556457782664472
- 35 USC 102 Novelty (BERT): 0.5030800397931671
- Combined Prediction Score: 0.6403892044191192
- Mean Citation Score: 282.89130000000006
- Max Citation Score: 305.89407
- Similarity Product: 277.82062346387033

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

Dataset: test