PATENT CLAIM ANALYSIS

Application Number: 16147731
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-04
Patent Classification: ["345", "173000"]

Abstract:
The disclosure concerns a user interface for manipulating light-field images. Light-field data provides depth information alongside the images themselves, such that conventional post-processing tools are not adapted to the post-processing of light-field data. Furthermore, the manipulation of light-field images may not be easy and intuitive for non-professional users. The disclosure enables a user to manipulate light-field images in a user-friendly way. Indeed, in this solution, a user only has to select regions of the light-field image to be rendered in-focus, and select a bokeh to be applied to out-of-focus regions of the light-field image as inputs for a post-processing tool. Once the light-field image post-processing tool has processed the light-field image, a final post-processed light-field image is rendered which corresponds to the specifications of the user.

Claim (Index 2):
The method according to  claim 1 , wherein said first input comprises a lower bound and an upper bound of a depth range so that pixels of the first light-field image having a depth value within the depth range are to be rendered in-focus, said depth range being smaller than or equal to a depth range of the first light-field image to be manipulated.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 97.0
- Lexical Diversity: 2.02941
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15694700', '14317492', '15228723', '14574280', '15824574']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6724768955045929
- 35 USC 102 Novelty (BERT): 0.4865772979194241
- Combined Prediction Score: 0.653886935746076
- Mean Citation Score: 181.598196
- Max Citation Score: 188.94974
- Similarity Product: 128.65399294828535

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test