PATENT CLAIM ANALYSIS

Application Number: 16015771
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["725", "014000"]

Abstract:
A computing system obtains a fingerprint of video content being rendered by a video presentation device, including a first portion representing a pre-established video segment and a second portion representing a dynamically-defined video segment. While obtaining the query fingerprint, the computing system (a) detects a match between the first portion of the query fingerprint and a reference fingerprint that represents the pre-established video segment, (b) based on the detecting of the match, identifies the video content being rendered, (c) after identifying the video content being rendered, applies a trained neural network to at least the second portion of the query fingerprint, and (d) detects, based on the applying of the neural network, that rendering of the identified video content continues. And responsive to at least the detecting that rendering of the identified video content continues, the computing system then takes associated action.

Claim (Index 20):
The video presentation device of  claim 19 , wherein the video content comprises video game content, wherein the pre-established video segment comprises a cutscene video segment, wherein the dynamically-defined video segment comprises an interactive gameplay video segment, and wherein the supplemental content comprises video-game help content.

Metadata:
- Claim Count in Document: 6.0
- Percentile: 94.0
- Lexical Diversity: 2.5873
- Patent Class: 725.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16015783', '15222405', '16015827', '15443615', '16015811']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4898760394949233
- 35 USC 102 Novelty (BERT): 0.518726810250667
- Combined Prediction Score: 0.4927611165704977
- Mean Citation Score: 240.45292
- Max Citation Score: 246.83545
- Similarity Product: 138.94722219831942

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