PATENT CLAIM ANALYSIS

Application Number: 15867493
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["382", "199000"]

Abstract:
Among other things, the present disclosure relates to image searching. With a depth map, image pixels of an image having depth values intersecting a desired optical field can be identified. A territory can be set based on locations of the identified image pixels. Feature detection can be performed on the image within the set territory. The feature detection can be limited to the set territory.

Claim (Index 7):
The method of  claim 6 , wherein the desired second image optical field is a depth range in between two predetermined depths such that one segment of the second image optical field maps to foreground and another different segment of the second image optical field maps to field of focus;\n the second image feature detection being an earlier second image feature detection, the smallest second image neighborhood being an earlier smallest second image neighborhood, the largest second image neighborhood being an earlier largest second image neighborhood, and the method comprising: performing a later feature detection on the second image at least partially outside of the set second image territory immediately after concluding the earlier second image feature detection.

Metadata:
- Claim Count in Document: 42.0
- Percentile: 86.0
- Lexical Diversity: 1.7561
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14988680', '10565669', '15682295', '14526364', '15565877']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3076508158107248
- 35 USC 102 Novelty (BERT): 0.4779060314849399
- Combined Prediction Score: 0.3246763373781463
- Mean Citation Score: 148.38958200000005
- Max Citation Score: 161.82045
- Similarity Product: 110.6624853496492

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