PATENT CLAIM ANALYSIS

Application Number: 16359665
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-07
Patent Classification: ["382", "103000"]

Abstract:
A degree-of-saliency map generated from an input image is divided into a plurality of partial areas, and the degree of nonuniformity is calculated from the distribution characteristics of the degrees of saliency of the partial areas. Whether a main subject is present in the input image is judged based on the calculated degree of nonuniformity.

Claim (Index 1):
A main-subject detection method comprising:\n extracting feature amounts from pixels based on at least one region of an input image and generating a map in which the extracted feature amounts respectively correspond to the pixels; dividing the generated map into a plurality of partial areas and extracting, on a per partial area basis, distribution characteristics each based on at least a corresponding one of the feature amounts; calculating a degree of nonuniformity of the extracted distribution characteristics of the feature amounts, the degree of nonuniformity being a degree of spatial nonuniformity; and judging, based on the calculated degree of nonuniformity, whether a main subject is present in the at least one region of the input image.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 99.0
- Lexical Diversity: 1.65714
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15091083', '12775132', '14685427', '12101605', '14715396']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2469178959165558
- 35 USC 102 Novelty (BERT): 0.4573030619104697
- Combined Prediction Score: 0.2679564125159472
- Mean Citation Score: 85.21596819999998
- Max Citation Score: 143.90974
- Similarity Product: 119.4690564388132

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