PATENT CLAIM ANALYSIS

Application Number: 15903663
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-09
Patent Classification: ["348", "208100"]

Abstract:
An imaging system includes an angular velocity sensor configured to detect shake, and controls driving of a shift lens group on the basis of a shake detection signal and corrects image blur. A motion vector detection unit detects a motion vector from a plurality of captured images. A distance acquisition unit acquires distance information regarding the captured image. A camera control unit acquires the shake detection signal and the motion vector, determines a subject using a detection value of the motion vector in the direction of the closest distance based on the distance information, and calculates an angular velocity of the subject. A panning control unit of a lens control unit performs drive control of the shift lens group using an angular velocity detection signal from which an offset is removed and an angular velocity of the subject acquired from the camera control unit and thus performs control for supporting panning.

Claim (Index 7):
The image blur correction apparatus according to  claim 2 , wherein the control unit calculates the angular velocity data of the subject using a focal length of the imaging optical system, a frame rate, and a pixel pitch of an imaging element.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 88.0
- Lexical Diversity: 2.40909
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15722158', '15688951', '15333660', '15213588', '14955954']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6638016925944079
- 35 USC 102 Novelty (BERT): 0.495452821338167
- Combined Prediction Score: 0.6469668054687838
- Mean Citation Score: 240.344508
- Max Citation Score: 271.39993
- Similarity Product: 231.4244822250085

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