PATENT CLAIM ANALYSIS

Application Number: 16236334
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-05
Patent Classification: ["345", "421000"]

Abstract:
It is presented a method for improving performance of generation of digitally represented graphics. Said method comprises the steps of: selecting ( 440 ) a tile comprising fragments to process; executing ( 452 ) a culling program for the tile, the culling program being replaceable; and executing a set of instructions, selected from a plurality of sets of instructions based on an output value of the culling program, for each of a plurality of subsets of the fragments. A corresponding display adapter and computer program product are also presented.

Claim (Index 1):
A system comprising:\n a system memory to store instructions and data; a processor coupled to the system memory comprising: tile processing circuitry to associate a plurality of polygons of a graphics scene with a plurality of image tiles, each of the image tiles comprising a rectangle with a specified number of contiguous fragments, wherein each polygon is to be associated with one or more of the image tiles which it overlaps; culling circuitry comprising a buffer to store depth data associated with the graphics scene, the culling circuitry to compare depth data for a first polygon associated with the current image tile with corresponding depth data in the buffer to determine whether the current image tile, or an associated portion thereof, is to be culled; rasterization circuitry to rasterize the polygons associated with the current image tile into pixels; and texture mapping circuitry to perform a three-dimensional texture lookup in a cube map texture to identify texture data to apply to one or more of the pixels.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 98.0
- Lexical Diversity: 1.68966
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15252405', '12523894', '12644075', '15396569', '10314957']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5795357453428766
- 35 USC 102 Novelty (BERT): 0.4957071214485136
- Combined Prediction Score: 0.5711528829534402
- Mean Citation Score: 174.577568
- Max Citation Score: 229.54297000000005
- Similarity Product: 160.66520411748172

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