PATENT CLAIM ANALYSIS

Application Number: 16106551
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["348", "700000"]

Abstract:
A method and system for producing video-segments of a live-action event involving monitoring a live-action event for detection of event-segments, detecting one or more event-triggers with detectors, determining if an event-segment occurred based on the detected event-triggers, and editing one or more video feeds into a video-segment to encompass the event-segment.

Claim (Index 17):
A machine-readable storage medium, comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations, comprising:\n detecting a plurality of event-triggers, each event-trigger of the plurality of event-triggers occurring at a specific time in a video feed containing media content as a detected event-trigger; assigning a weighting value to each detected event-trigger; comparing the detected event-triggers, and an accompanying weighted value for each detected event-trigger, that were registered within a predetermined length of time to determine whether an event of interest has occurred; and segmenting the video feed into a video-segment that encompasses the event of interest when the event of interest has occurred to include the event of interest and to include a first interval of the video feed and a second interval of the video feed.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 96.0
- Lexical Diversity: 1.375
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14682032', '13111738', '12272170', '14877691', '14510481']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.670028819312328
- 35 USC 102 Novelty (BERT): 0.5554711167278132
- Combined Prediction Score: 0.6585730490538766
- Mean Citation Score: 314.88706800000006
- Max Citation Score: 439.2676
- Similarity Product: 364.8165361096621

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test