PATENT CLAIM ANALYSIS

Application Number: 16051898
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-09
Patent Classification: ["345", "424000"]

Abstract:
An encoding device includes an extracting unit that extracts, from voxel data expressing a three-dimensional shape by a collection of voxels arranged at lattice positions in a space, (i) structure information indicating presence/absence of a voxel at each lattice position and (ii) attribute information including an attribute value of each voxel; a structure encoding unit that encodes the structure information by determining a structure code corresponding to the structure information on a structure element having at least lattice position according to first context information indicating presence/absence of voxel at at least one predetermined lattice position around the structure element; and an attribute encoding unit that encodes an attribute value of a voxel of interest into an attribute code using second context information indicating presence/absence of a voxel at at least one predetermined lattice position around the voxel of interest.

Claim (Index 4):
The encoding device according to  claim 1 , wherein\n an attribute code table for encoding of the attribute information is provided for each value of the second context information, the attribute encoding unit generates the attribute code by predictively encoding the attribute value corresponding to the voxel of interest based on attribute values of voxels around the voxel of interest, and the attribute encoding unit uses the attribute code table corresponding to the value of the second context information corresponding to the voxel of interest as a code table in the predictive encoding.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 96.0
- Lexical Diversity: 2.34921
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['11059462', '12662555', '10727629', '12176075', '11073686']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6796110220507509
- 35 USC 102 Novelty (BERT): 0.5039894036821055
- Combined Prediction Score: 0.6620488602138863
- Mean Citation Score: 216.435532
- Max Citation Score: 235.15471
- Similarity Product: 150.88773945962905

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