PATENT CLAIM ANALYSIS

Application Number: 15763108
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 reducing the coding artefact of at least one pixel of a view ( 170 ) belonging to a matrix of views ( 17 ) obtained from light-field data associated with a scene. According to present disclosure, the method is implemented by a processor and comprises for each said at least one pixel: —from said matrix of views ( 17 ), obtaining ( 51 ) at least one epipolar plane image (EPI) associated with said pixel, —applying ( 52 ) an artefact filtering on pixels of said epipolar plane image (EPI), —redistributing ( 53 ) the filtered pixels of the epipolar plane image in the matrix of views ( 17 ).

Claim (Index 6):
The method for reducing the coding artefact according to  claim 5 , wherein for each said at least one pixel the sequence comprising\n from said matrix of views, obtaining at least one epipolar plane image (EPI) to which said pixel belongs, applying an artefact filtering on pixels of said epipolar plane image (EPI), where filtering is a weighted average of candidate patches containing the pixel, in the epipolar plane image (EPI) and the weights depend on\n a distance between said patch and said candidate patches, and/or \n a distance between the centres of the candidate patches and the closest horizontal or vertical frontier of the coding block or transform unit structure in the matrix of views, and/or \n the quantizer step, \n redistributing the filtered pixels of the epipolar plane image in the matrix of views, is applied a plurality of times, using each time an epipolar plane image (EPI) with a different angular orientation.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 90.0
- Lexical Diversity: 2.09677
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15759215', '12133617', '13416136', '14069504', '14554897']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6172208615861788
- 35 USC 102 Novelty (BERT): 0.5033151242419885
- Combined Prediction Score: 0.6058302878517599
- Mean Citation Score: 216.997016
- Max Citation Score: 284.28625
- Similarity Product: 223.26307815909385

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