PATENT CLAIM ANALYSIS

Application Number: 15920038
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["345", "419000"]

Abstract:
An decoding device, an encoding device and a method for point cloud encoding is disclosed. The method includes generating, from a three-dimensional point cloud, multiple two-dimensional frames, the two-dimensional frames including at least a first frame representing a geometry of points in the three-dimensional point cloud and a second frame representing texture of points in the three-dimensional point cloud. The method also includes generating an occupancy map indicating locations of pixels in the two-dimensional frames that represent points in the three-dimensional point cloud. The method further includes encoding the two-dimensional frames and the occupancy map to generate a compressed bitstream. The method also includes transmitting the compressed bitstream.

Claim (Index 20):
The method of  claim 19 , further comprises:\n determining a longest dimension of the three-dimensional point cloud; analyzing the three-dimensional point cloud at the plurality of positions along the longest dimension; and storing each point in the three-dimensional point cloud along a second and third axis that correspond to each position along the longest dimension of the three-dimensional point cloud.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 90.0
- Lexical Diversity: 2.34
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15168017', '10133151', '15168016', '15055440', '14468508']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6508887920694807
- 35 USC 102 Novelty (BERT): 0.5018494862934018
- Combined Prediction Score: 0.6359848614918728
- Mean Citation Score: 197.003148
- Max Citation Score: 219.61206
- Similarity Product: 140.1902246124816

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