PATENT CLAIM ANALYSIS

Application Number: 16295125
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-07
Patent Classification: ["348", "239000"]

Abstract:
An image processing system includes: a receiving unit configured to receive an input of a plurality of image frames constituting a video from an imaging apparatus; a detection unit configured to detect a feature point included in an image frame to be processed in the plurality of image frames; and an output unit configured to output an output image obtained by superimposing an image frame to be processed of an area detected as a feature point on a background image generated from at least some of a plurality of image frames.

Claim (Index 11):
A non-transitory computer-readable storage medium storing a program that, when executed, causes a computer to perform:\n receiving an input of at least one image frame; extracting points forming one or more contour lines of one or more objects by performing edge detection on a part or a whole of an image frame in the at least one image frame; and changing, in a background image which is different from the image frame and is prepared in advance, pixel values of pixels located at positions corresponding to positions of the extracted points, using values based on pixel values of the extracted points in the image frame.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 99.0
- Lexical Diversity: 1.97917
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15322220', '15315413', '10293432', '12375726', '14827714']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5882363383839656
- 35 USC 102 Novelty (BERT): 0.4852202924870798
- Combined Prediction Score: 0.5779347337942771
- Mean Citation Score: 165.21878599999997
- Max Citation Score: 237.24632000000005
- Similarity Product: 199.0873026081753

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

Dataset: test