PATENT CLAIM ANALYSIS

Application Number: 15953164
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["345", "647000"]

Abstract:
Systems, methods, and non-transitory computer-readable media can determine at least one salient point of interest in a frame of a content item based at least in part on a saliency prediction model, the saliency prediction model being trained to identify salient points of interest that appear in content items; determine a barrel projection representation for the frame; and apply a view-based projection to the barrel projection representation for the frame, wherein the view-based projection enhances a quality in which a region corresponding to the at least one salient point of interest is presented.

Claim (Index 6):
The computer-implemented method of  claim 2 , wherein applying the view-based projection to the barrel projection representation of the frame further comprises:\n biasing, by the computing system, one or more other regions in the middle portion of the frame, wherein the one or more regions are biased to decrease respective pixel densities associated with the one or more regions.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 1.92308
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15488480', '15488482', '15488483', '15488484', '15849923']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6728305784281446
- 35 USC 102 Novelty (BERT): 0.5179940336040821
- Combined Prediction Score: 0.6573469239457385
- Mean Citation Score: 237.447202
- Max Citation Score: 276.978
- Similarity Product: 172.62683777832984

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

Dataset: test