PATENT CLAIM ANALYSIS

Application Number: 16050285
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2020-02
Patent Classification: ["null", "null"]

Abstract:
Embodiments are generally directed to neural network based patch blending for immersive video. An embodiment of a system includes one or more processor cores; a memory to store data for images in immersive video; and a neural network training framework. The neural network training framework is to generate a trained neural network for blending of a view of an object with patches generated for one or more detected occlusions for the object.

Claim (Index 5):
The system of  claim 1 , wherein the system is to generate the patches for the one or more occlusions, wherein generation of the patches includes generation of at least a first patch for a first occlusion, the generation of the first patch including addition of padding data, the padding data being data for an area surrounding or adjacent to an area for the first occlusion.

Metadata:
- Claim Count in Document: 68.0
- Percentile: 95.0
- Lexical Diversity: 1.6383
- Patent Class: nan
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15494710', '15659818', '15581133', '16050953', '15482724']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.527450323479984
- 35 USC 102 Novelty (BERT): 0.4912671187220245
- Combined Prediction Score: 0.5238320030041881
- Mean Citation Score: 167.08951399999995
- Max Citation Score: 172.0115
- Similarity Product: 108.87115336313845

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