PATENT CLAIM ANALYSIS

Application Number: 16454986
Application Type: Utility
Filing Date: 2019-06
Publication Date: 2019-10
Patent Classification: ["345", "419000"]

Abstract:
A method and apparatus are provided for compressing vertex parameter data in a 3D computer graphic system, where the vertex parameter data is a data block relating to a plurality of vertices used for rendering an image. The data relating to each vertex includes multiple byte data relating to at least one parameter. The parameters include X, Y and Z coordinates and further coordinates for texturing and shading. The multiple byte data is divided into individual bytes and bytes with corresponding byte positions relating to each vertex are grouped together to form a plurality of byte blocks.

Claim (Index 16):
The method of  claim 15 , wherein depending on the nature of the compressed data, the method comprises one or more of:\n a) reading a plurality of byte origin values from the compressed data; b) reading difference values from the compressed data, reading an index of byte origins from the compressed data, and adding difference values to corresponding byte origins to construct decompressed data; c) constructing a byte table from the compressed data by reading a control bit which indicates if the subsequent data is a raw byte value or a difference value, and adding difference values to raw byte values to form distinct byte values; d) reading an index value from the compressed data and taking a corresponding byte table entry as the corresponding decompressed byte block; and e) moving one or more sign bits from the least significant byte to the most significant byte after the step of merging the bytes from the decompressed byte blocks.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 100.0
- Lexical Diversity: 1.71667
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15044983', '14486848', '14268162', '14705949', '10860335']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7015232425066149
- 35 USC 102 Novelty (BERT): 0.5821611059497259
- Combined Prediction Score: 0.689587028850926
- Mean Citation Score: 346.385406
- Max Citation Score: 503.40295
- Similarity Product: 395.66782423573136

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