PATENT CLAIM ANALYSIS

Application Number: 15995871
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-09
Patent Classification: ["348", "333010"]

Abstract:
Electronic devices and methods for processing images are provided. The method includes obtaining a first image and a second image through a first image sensor, extracting depth information from at least one third image obtained through a second image sensor, applying the extracted depth information to the obtained first image and displaying the first image, and applying the extracted depth information to the obtained second image.

Claim (Index 17):
A portable communication device comprising:\n a touchscreen display; a first image sensor; a second image sensor; and a processor adapted to:\n obtain a first image corresponding to an external object using the first image sensor, \n obtain a second image corresponding to the external object using the second image sensor, \n generate depth information corresponding to the external object based at least in part on the first image the second image, \n perform an auto focus based at least in part on the external object, and \n present, via the touchscreen display, the first image as a preview image such that an blur effect is applied to the at least one portion of the preview image based at least in part on the depth information.

Metadata:
- Claim Count in Document: 45.0
- Percentile: 94.0
- Lexical Diversity: 2.02857
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14921738', '15588882', '15059894', '15614116', '13646615']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5614903024970712
- 35 USC 102 Novelty (BERT): 0.4846507600621886
- Combined Prediction Score: 0.553806348253583
- Mean Citation Score: 172.925768
- Max Citation Score: 228.7206
- Similarity Product: 194.7716854684353

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