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 21):
A non-transitory computer-readable storage medium having stored thereon data representing sequences of instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising:\n receiving one or more views of an object; receiving one or more patches for one or more detected occlusions for the object; and blending the one or more views of the object with the one or more patches utilizing a trained neural network to generate a blended image for immersive video; wherein generation of the trained neural network includes receiving a first input for main view data for an object, a second input for patch data for one or more detected occlusions for the object, and a third input for an actual complementary view of the object captured by a camera, the actual complementary view being utilized as a ground truth in the generation of the trained neural network.

Metadata:
- Claim Count in Document: 68.0
- Percentile: 95.0
- Lexical Diversity: 1.6383
- Patent Class: nan
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15494710', '15659818', '15581133', '16050953', '15482724']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5063023460179862
- 35 USC 102 Novelty (BERT): 0.4563737673220325
- Combined Prediction Score: 0.5013094881483908
- Mean Citation Score: 167.08951399999995
- Max Citation Score: 172.0115
- Similarity Product: 145.09573267176745

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