PATENT CLAIM ANALYSIS

Application Number: 15917473
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["382", "159000"]

Abstract:
Light-field data is masked to identify regions of interest, before applying to deep learning models. In one approach, a light-field camera captures a light-field image of an object to be classified. The light-field image includes a plurality of views of the object taken simultaneously from different viewpoints. The light-field image is pre-processed, with the resulting data provided as input to a deep learning model. The pre-processing includes determining and then applying masks to select regions of interest within the light-field data. In this way, less relevant data can be excluded from the deep learning model. Based on the masked data, the deep learning model produces a decision classifying the object.

Claim (Index 15):
The method of  claim 14  wherein the voting schema weights the intermediate decisions, and the weight for each intermediate decision is related to the masking applied to produce that intermediate decision.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 90.0
- Lexical Diversity: 1.93651
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15010740', '15758679', '15452613', '14835736', '15452076']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3210311891534503
- 35 USC 102 Novelty (BERT): 0.4909452707814581
- Combined Prediction Score: 0.3380225973162511
- Mean Citation Score: 129.451198
- Max Citation Score: 136.44827
- Similarity Product: 81.81473473815561

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