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 3):
The computer-implemented method of  claim 1 , wherein generating the first set of data points comprises:\n decoding each encoded chunk in the first set of encoded chunks to generate a first set of decoded chunks; upsampling each decoded chunk in the first set of decoded chunks to a source resolution associated with the source video sequence to generate a first set of upsampled chunks; and generating a different data point for each upsampled chunk in the first set of upsampled data chunks.

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): 0.475127128830792
- 35 USC 102 Novelty (BERT): 0.4981880604716007
- Combined Prediction Score: 0.4774332219948729
- Mean Citation Score: 212.05626400000003
- Max Citation Score: 259.08316
- Similarity Product: 202.16018619388103

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