PATENT CLAIM ANALYSIS

Application Number: 16248557
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["345", "426000"]

Abstract:
An exemplary merged reality scene capture system (“system”) generates a transport stream based on video data received from a plurality of capture devices. The transport stream includes a respective video data stream for each capture device, each respective video data stream representing surfaces of a real-world object as the surfaces appear from a vantage point of the capture device. Based on the transport stream, the system generates entity description data representative of the real-world object. The system also generates entity description data representative of a virtual object to be included within a 3D space of a merged reality scene along with the real-world object. Based on the entity description data, the system generates an entity description frame representative of a state of the objects within the 3D space. The system provides the entity description frame to a plurality of 3D rendering engines associated with a content provider system.

Claim (Index 17):
The system of  claim 15 , wherein:\n the virtual interaction is based on an artificial intelligence-based object behavior; and the processor generates the first entity description data and the second entity description data in the manner to create the virtual interaction by\n determining that at least one of the real-world object and the virtual object is a living thing, and \n determining how the real-world object and the virtual object virtually interact using artificial intelligence to define a choice made by the living thing.

Metadata:
- Claim Count in Document: 37.0
- Percentile: 99.0
- Lexical Diversity: 2.47692
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15610573', '15610572', '15799731', '15476782', '15610595']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7536735923716443
- 35 USC 102 Novelty (BERT): 0.6032213965794188
- Combined Prediction Score: 0.7386283727924218
- Mean Citation Score: 460.464834
- Max Citation Score: 628.53723
- Similarity Product: 449.0994478459186

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