PATENT CLAIM ANALYSIS

Application Number: 15744581
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["382", "166000"]

Abstract:
Some embodiments relate to a machine-implemented method of packing volumetric image data executed by at least one processing device, the method comprising: determining a first block size; writing to memory a first block of image data from a first image, the first block having the first block size; determining a second block size; and writing to memory a second block of image data from a second image, the second block having the second block size; wherein the first image contains X by Y pixels of one of colour data and depth data, and the second image contains X by Y pixels of the other of colour and depth data; and wherein the first image is related to the second image. Embodiments also relate to methods of unpacking volumetric image data. Further embodiments relate to systems and computer-readable media storing or having access to code to execute the packing and unpacking methods.

Claim (Index 77):
The method of  claim 70 , wherein one or more of the colour data and the depth data are split into one or more data components before being written to memory, and wherein the first block of data comprises one or more of the data components of one of the colour data and the depth data, and the second block comprises one or more of the data components of the other of the colour data and the depth data.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 86.0
- Lexical Diversity: 2.82759
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15766697', '14433367', '13002936', '11720059', '13125799']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3261884790200668
- 35 USC 102 Novelty (BERT): 0.5071418983971698
- Combined Prediction Score: 0.3442838209577771
- Mean Citation Score: 144.04657600000004
- Max Citation Score: 160.32814
- Similarity Product: 84.65754824082016

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

Dataset: test