PATENT CLAIM ANALYSIS

Application Number: 16038154
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2020-01
Patent Classification: ["375", "240020"]

Abstract:
A method based on CTU level rate-distortion optimization for rate control in video coding which can effectively improve the perceptual rate-distortion performance and coding efficiency is provided. Firstly, a perceptual rate-distortion model is established using a divisive normalization framework, which characterizes the relationship between local visual quality and coding bits. Subsequently, the established perceptual rate-distortion model is applied to overall distortion optimization which is transformed into a global optimization problem and solved with convex optimization algorithms to obtain optimal CTU level coding bit allocation.

Claim (Index 11):
An encoding method according to  claim 1 , wherein the true distortion D real  is obtained by:\n D \u2032( R )= D ( R )/ f 2 .

Metadata:
- Claim Count in Document: 16.0
- Percentile: 95.0
- Lexical Diversity: 1.52542
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15352222', '16016691', '15260302', '12832495', '11530042']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4798903320013419
- 35 USC 102 Novelty (BERT): 0.5358653620203175
- Combined Prediction Score: 0.4854878350032394
- Mean Citation Score: 279.06874200000004
- Max Citation Score: 346.58685
- Similarity Product: 230.8498376358837

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