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 12):
The system of  claim 11 , wherein the set of patches further includes a second patch for a second occlusion, the second patch including padding data, the first patch and second patch each projecting at least in part to an overlapping area, and wherein the system is to blend the first patch and the second patch utilizing alpha blending.

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): 0.529100780194726
- 35 USC 102 Novelty (BERT): 0.4849338240197554
- Combined Prediction Score: 0.5246840845772289
- Mean Citation Score: 167.08951399999995
- Max Citation Score: 172.0115
- Similarity Product: 115.88990526068211

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