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 4):
The system of  claim 1 , wherein the system is to provide the trained neural network to a client system to generate blended images for immersive video based on main views and patches of the object.

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): 0.5290324757564566
- 35 USC 102 Novelty (BERT): 0.4851958256137994
- Combined Prediction Score: 0.5246488107421909
- Mean Citation Score: 167.08951399999995
- Max Citation Score: 172.0115
- Similarity Product: 115.59944671291112

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