PATENT CLAIM ANALYSIS

Application Number: 15909353
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["348", "239000"]

Abstract:
A method, a system, and a computer program product for generating a selective color image. The method includes capturing a color image data within a current scene. The method further includes retrieving image color values from the color image data. The method further includes receiving a selection of at least one location within the color image data. The method further includes generating a color mask and applying the color mask to the color image data to generate a color masked image data. The method further includes combining the color masked image data with monochromatic image data of the current scene to create a selective color image that includes the monochromatic image data with the at least one portion, and then the method includes providing the selective color image to at least one output device.

Claim (Index 5):
The method of  claim 4 , wherein calculating the probability distribution further comprises:\n identifying a plurality of color values within a color region that is centered at the at least one selected location; averaging the plurality of color values to determine an average color; calculating an Euclidean distance of each pixel of the color image data to the average color; normalizing the Euclidean distance of each pixel by applying a feather parameter; applying a Sigmoid function to the normalized distance of each pixel; and mapping an output of the Sigmoid function to a predetermined range to generate the probability distribution of each pixel of the color image data.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 90.0
- Lexical Diversity: 2.91837
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15684399', '13044579', '14548547', '15269067', '14498848']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5696040104680293
- 35 USC 102 Novelty (BERT): 0.5015208847955818
- Combined Prediction Score: 0.5627956979007847
- Mean Citation Score: 139.49836999999997
- Max Citation Score: 149.67763
- Similarity Product: 88.5462438111186

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