PATENT CLAIM ANALYSIS

Application Number: 16391898
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-08
Patent Classification: ["382", "251000"]

Abstract:
Systems and methods for improving computer technology related to the rendering and encoding of images are disclosed, preferably for use in a video-game environment. In certain embodiments, a codec is used to encode one or more reference images for a partial range of encoder settings and a renderer is used to generate one or more rendering quality-settings profiles, generate one or more reference images, calculate perceived qualities for each of the one or more reference images, re-render the one or more reference images for each of the one or more rendering quality-setting profiles, and calculate perceived qualities for each of the one or more re-rendered reference images. The renderer compares the perceived qualities of the reference images to the perceived qualities of the re-rendered images and matches them. Those matches result in an association of one or more encoder settings with their matching rendering quality-settings profiles into a look-up table. The lookup table is used to generate a rendered image at a substantially identical perceived quality to an encoded frame during gameplay.

Claim (Index 17):
The system of  claim 16 , wherein the renderer read the reported quantization parameter prior to rendering each frame of the rendered image.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 100.0
- Lexical Diversity: 2.44
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15959069', '15958610', '15958647', '12125359', '12118999']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.381506383395461
- 35 USC 102 Novelty (BERT): 0.5633793963971173
- Combined Prediction Score: 0.3996936846956267
- Mean Citation Score: 272.471554
- Max Citation Score: 462.8255
- Similarity Product: 356.2415555416346

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

Dataset: test