PATENT CLAIM ANALYSIS

Application Number: 15926569
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["386", "248000"]

Abstract:
In one embodiment, a method receives a set of frames from a video at a first classifier. The first classifier classifies the set of frames with classification scores that indicate a confidence that a frame contains end credit content using the first classifier using a first model that classifies content from the set of frames. A second classifier then refines the classification scores from neighboring frames in the set of frames using a second classifier using a second model that classifies classification scores from the first classifier. A boundary point is selected between a frame in the set of frames considered not including end credit content and a frame in the set of frames including end credit content based on the refined classification scores.

Claim (Index 8):
The method of  claim 1 , wherein selecting the boundary point comprises:\n selecting a prospective boundary point; calculating a left window score based on classification scores for at least a portion of frames before the prospective boundary point; calculating a right window score based on classification scores for at least a portion of frames after the prospective boundary point; and calculating a boundary score based on the left window score and the right window score.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 2.58
- Patent Class: 386.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12372561', '14848216', '13359468', '13438435', '15199269']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5946846869415701
- 35 USC 102 Novelty (BERT): 0.4680683398883268
- Combined Prediction Score: 0.5820230522362457
- Mean Citation Score: 140.07469600000002
- Max Citation Score: 144.24467
- Similarity Product: 102.75987988004805

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