PATENT CLAIM ANALYSIS

Application Number: 15759215
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["348", "043000"]

Abstract:
The present disclosure generally relates to a method for predicting at least one block of pixels of a view ( 170 ) belonging to a matrix of views ( 17 ) obtained from light-field data belong with a scene, According to present disclosure, the method is implemented by a processor and comprises for at least one pixel to predict of said block of pixels: —from said matrix of views ( 17 ), obtaining ( 51 ) at least one epipolar plane image (EPI) belong with said at least one pixel to predict, —among a set of bidirectional prediction modes, determining ( 52 ) at least one optimal bidirectional prediction mode from a set of previous reconstructed pixels neighbouring said at least one pixel to predict in said at least one epipolar plane image, —extrapolating ( 53 ) a prediction value of said at least one pixel to predict by using said at least one optimal bidirectional prediction mode.

Claim (Index 5):
The method for predicting according to  claim 2 , wherein,\n when at least two epipolar plane images (EPI), to which one pixel to predict belongs, corresponding, to a horizontal epipolar plane image (EPI) and a vertical epipolar plane images (EPI), or to a set of different angular orientations epipolar plane images (EPI), an optimal bidirectional prediction mode is determined for each epipolar image and said prediction value of said at least one pixel to predict corresponds to a mean of at least two prediction values obtained respectively by using said optimal bidirectional prediction mode determined for at least two epipolar images.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 90.0
- Lexical Diversity: 2.43478
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12133617', '12962125', '11873390', '13805195', '13416136']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6372202236446761
- 35 USC 102 Novelty (BERT): 0.4790278485331516
- Combined Prediction Score: 0.6214009861335237
- Mean Citation Score: 179.612076
- Max Citation Score: 190.5899
- Similarity Product: 143.26689055637118

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