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 9):
A device for encoding at least one pixel of a view belonging to a matrix of views obtained from light-field data associated with a scene, wherein said device comprises a processor configured to control:\n a module for reducing the coding artefact of said at least one pixel, said module comprising:\n an entity for obtaining, for each of said at least one pixel, from said matrix of views, at least one epipolar plane image (EPI) to which said pixel belongs, \n an entity for applying an artefact filtering on pixels of said epipolar plane image (EPI), \n an entity for redistributing the filtered pixels of the epipolar plane image in the matrix of views.

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): 0.6175108840211894
- 35 USC 102 Novelty (BERT): 0.501612096553172
- Combined Prediction Score: 0.6059210052743876
- Mean Citation Score: 216.997016
- Max Citation Score: 284.28625
- Similarity Product: 230.375073838532

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