PATENT CLAIM ANALYSIS

Application Number: 16137782
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-03
Patent Classification: ["348", "143000"]

Abstract:
A system and method for implementing a machine learning-based system for generating event intelligence from video image data that: collects input of the live video image data; detects coarse features within the live video image data; constructs a coarse feature mapping comprising a mapping of the one or more coarse features; receives input of the coarse feature mapping at each of a plurality of distinct sub-models; identify objects within the live video image data based on the coarse feature mapping; identify one or more activities associated with the objects within the live video image data; identify one or more interactions between at least two of the objects within the live video image data based at least on the one or more activities; composes natural language descriptions based on the one or more activities associated with the objects and the one or more interactions between the objects; and constructs an intelligence augmented live video image data.

Claim (Index 12):
The system according to  claim 11 , wherein\n the machine learning-based system:\n receives a search query at the searchable video image database; and \n returns one or more of historical video image data and live video image data from the one or more video image data sources based on the search query.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 97.0
- Lexical Diversity: 2.79661
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15990212', '13097435', '14195150', '13843455', '14458575']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6306601042898028
- 35 USC 102 Novelty (BERT): 0.478767522458541
- Combined Prediction Score: 0.6154708461066766
- Mean Citation Score: 172.018124
- Max Citation Score: 181.93002
- Similarity Product: 133.93533634810922

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