PATENT CLAIM ANALYSIS

Application Number: 15866105
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["725", "116000"]

Abstract:
A system for generating video clips includes a video processing system configured to receive computer vision (CV) output data, which includes optical character recognition (OCR) text of graphics from a video, time codes for the OCR text of the graphics, and ontology classifiers for the OCR text. The video processing system includes a file storage and database system configured to store the video, and to store the CV output data according to an ontology associated with the ontology classifiers. A CV moments module of the video processing system is configured to identify themes contained in the CV output data using the ontology classifiers, the ontology, and natural language processing (NLP), and to identify time codes associated with the identified themes. A video clip generator of the video processing system is configured to generate video clips of the video based on the identified time codes.

Claim (Index 16):
The method of  claim 15 , wherein the CV-based object identifies a first time window that a particular stock ticker appears in the media transmission, and wherein the NLP-based object identifies a second time window that a particular stock is discussed in the media transmission.

Metadata:
- Claim Count in Document: 14.0
- Percentile: 86.0
- Lexical Diversity: 2.59677
- Patent Class: 725.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15866082', '12479066', '14801761', '14221392', '14918338']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4712642118673726
- 35 USC 102 Novelty (BERT): 0.579979101820021
- Combined Prediction Score: 0.4821357008626375
- Mean Citation Score: 264.599866
- Max Citation Score: 595.64856
- Similarity Product: 362.3815702316093

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test