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 19):
A video presentation device comprising:\n a video input interface through which to receive video content to be rendered by the video presentation device; a video presentation interface for presenting the received video content, wherein the video content includes (i) a pre-established video segment that does not vary based on user-interaction during the presenting and (ii) a dynamically-defined video segment that varies based on user-interaction during the presenting; a network communication interface; a processing unit; non-transitory data storage; and program instructions stored in the non-transitory data storage and executable by the processing unit to carry out operations comprising:\n generating a query fingerprint in real-time during while the video content is being presented, the query fingerprint representing the video content being presented and including a first portion representing the pre-established video segment and a second portion representing the dynamically-defined video segment, \n outputting, for transmission through the network communication interface to a computing system, the first portion of the query fingerprint, wherein the computing system detects a match between the first portion of the query fingerprint and a reference fingerprint that represents the pre-established video segment and, based on the detected match, identifies the video content being presented by the video presentation device, \n outputting, for transmission through the network communication interface to the computing system, the second portion of the query fingerprint, wherein, after identifying the video content being rendered, the computing system applies a trained neural network to at least the second portion of the query fingerprint, and detects, based on the applying of the neural network, that the video content being presented by the video presentation device continues to be the identified video content, and \n receiving from the computing system, through the network communication interface, from the computing system a directive for the video presentation device to present supplemental content based on the computing system having detected that the video content being presented by the video presentation device continues to be the identified video content.

Metadata:
- Claim Count in Document: 6.0
- Percentile: 94.0
- Lexical Diversity: 2.5873
- Patent Class: 725.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16015783', '15222405', '16015827', '15443615', '16015811']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4614060141908495
- 35 USC 102 Novelty (BERT): 0.5111763126305573
- Combined Prediction Score: 0.4663830440348203
- Mean Citation Score: 240.45292
- Max Citation Score: 246.83545
- Similarity Product: 152.30738489968778

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