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 7):
The method of  claim 6 , further comprising, when the greatest frame certainty metric satisfies the frame certainty metric threshold, associating, by the data processing hardware, a frame location corresponding to the target broadcast fingerprint with a media device frame corresponding to the target media device 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): 0.4341117003364036
- 35 USC 102 Novelty (BERT): 0.527740926584078
- Combined Prediction Score: 0.443474622961171
- Mean Citation Score: 287.92545
- Max Citation Score: 332.77936
- Similarity Product: 245.126321779728

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