PATENT CLAIM ANALYSIS

Application Number: 15898127
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-08
Patent Classification: ["345", "419000"]

Abstract:
Mesh-based raw video data (or 3D video data) includes a sequence of frames, each of which includes geometry data (e.g., triangle meshes or other meshes) and texture map(s) defining one or more objects. The raw 3D video data is segmented based on consistent mesh topology across frames. For each segment, a consistent mesh sequence (CMS) is defined and a consistent texture atlas (CTA) is generated. The CMS and CTA for each segment are compressed and stored as compressed data files. The compressed data files can be decompressed and used to render displayable images.

Claim (Index 1):
A computer-implemented method for compressing data, the method comprising:\n receiving raw three-dimensional (3D) video data descriptive of a sequence of frames, wherein the raw 3D video data for each frame includes a mesh and a texture map associated with the mesh; splitting the sequence of frames into one or more segments such that the meshes for all frames within a segment are topologically consistent, thereby generating a consistent mesh sequence for each segment; constructing a consistent texture atlas for each segment from the texture map for at least one of the frames in the segment; compressing the consistent texture atlas using a two-dimensional (2D) video compression algorithm; compressing the consistent mesh sequence; and outputting, as compressed data, the compressed texture atlas and the compressed consistent mesh sequence, wherein the raw 3D video data does not include data indicating correlations between meshes in different frames.

Metadata:
- Claim Count in Document: 21.0
- Percentile: 88.0
- Lexical Diversity: 1.86667
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14803687', '15653363', '12596653', '15816094', '13348262']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6200125606530846
- 35 USC 102 Novelty (BERT): 0.4726935482131544
- Combined Prediction Score: 0.6052806594090916
- Mean Citation Score: 174.81526399999996
- Max Citation Score: 198.10475
- Similarity Product: 159.3333262777626

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