PATENT CLAIM ANALYSIS

Application Number: 16023555
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-01
Patent Classification: ["725", "019000"]

Abstract:
A method for a frame certainty metric for automatic content recognition. The method includes determining a frame match between media device frames of a media device stream relative to broadcast frames of a broadcast media stream and determining whether to shift the frame match by determining the following: a first frame certainty metric based on a first media device fingerprint and a target broadcast fingerprint; a second frame certainty metric based on a second media device fingerprint sequentially adjacent the first media device fingerprint and the target broadcast fingerprint; a third frame certainty metric based on a third media device fingerprint sequentially adjacent the first media device fingerprint and the target broadcast fingerprint; and a greatest frame certainty metric. The method further includes identifying the media device fingerprint corresponding to the greatest frame certainty metric as a target media device fingerprint matching the target broadcast fingerprint.

Claim (Index 11):
A system comprising:\n data processing hardware; and memory hardware in communication with the data processing hardware, the memory hardware storing instructions that when executed on the data processing hardware cause the data processing hardware to perform operations comprising:\n receiving broadcast fingerprints indicative of broadcast frames of a broadcast media stream; \n receiving media device fingerprints indicative of media device frames of a media device stream at a corresponding media device; \n determining a frame match between the media device frames of the media device stream relative to the broadcast frames of the broadcast media stream; \n determining whether to shift the frame match by:\n determining a first frame certainty metric based on a first media device fingerprint and a target broadcast fingerprint; \n determining a second frame certainty metric based on a second media device fingerprint and the target broadcast fingerprint, the second media device fingerprint sequentially adjacent the first media device fingerprint; \n determining a third frame certainty metric based on a third media device fingerprint and the target broadcast fingerprint, the third media device fingerprint sequentially adjacent the first media device fingerprint opposite the second media device fingerprint, each frame certainty metric being indicative of a quality of matching between the corresponding fingerprints; and \n determining a greatest frame certainty metric amongst the first frame certainty metric, the second frame certainty metric, and the third frame certainty metric; and \n \n identifying the media device fingerprint corresponding to the greatest frame certainty metric as a target media device fingerprint matching the target broadcast fingerprint.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 94.0
- Lexical Diversity: 3.25532
- Patent Class: 725.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15703391', '15725260', '15934753', '15617591', '15938167']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4341123989639554
- 35 USC 102 Novelty (BERT): 0.5272546237606098
- Combined Prediction Score: 0.4434266214436209
- Mean Citation Score: 287.92545
- Max Citation Score: 332.77936
- Similarity Product: 250.46573823231697

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

Dataset: test