PATENT CLAIM ANALYSIS

Application Number: 16034303
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-01
Patent Classification: ["725", "093000"]

Abstract:
An encoding engine encodes a video sequence to provide optimal quality for a given bitrate. The encoding engine cuts the video sequence into a collection of shot sequences. Each shot sequence includes video frames captured from a particular capture point. The encoding engine resamples each shot sequence across a range of different resolutions, encodes each resampled sequence with a range of quality parameters, and then upsamples each encoded sequence to the original resolution of the video sequence. For each upsampled sequence, the encoding engine computes a quality metric and generates a data point that includes the quality metric and the resample resolution. The encoding engine collects all such data points and then computes the convex hull of the resultant data set. Based on all convex hulls across all shot sequences, the encoding engine determines an optimal collection of shot sequences for a range of bitrates

Claim (Index 15):
The non-transitory computer-readable medium of  claim 11 , wherein the step of performing one or more convex hull operations across the first set of data points to compute the first subset of data points comprises:\n determining a first region that includes the first set of data points; identifying a first boundary of the first region, wherein no data points in the first set of points reside on a first side of the first boundary; including any data points that reside along the first boundary in the first subset of data points.

Metadata:
- Claim Count in Document: 6.0
- Percentile: 95.0
- Lexical Diversity: 2.24638
- Patent Class: 725.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15296580', '14484967', '14673621', '15633661', '11022474']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4751064275198718
- 35 USC 102 Novelty (BERT): 0.4982857346715911
- Combined Prediction Score: 0.4774243582350438
- Mean Citation Score: 212.05626400000003
- Max Citation Score: 259.08316
- Similarity Product: 201.8713331143356

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