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 10):
A system comprising:\n a processing subsystem; and a storage subsystem coupled to the processing subsystem, the storage subsystem storing program code instructions that, when executed by the processing subsystem, cause the processing subsystem to: receive 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; split 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; construct a consistent texture atlas for each segment from the texture map for at least one of the frames in the segment; compress the consistent texture atlas using a two-dimensional (2D) video compression algorithm; compress the consistent mesh sequence; and output, as compressed data, the compressed texture atlas and the compressed consistent mesh sequence, wherein the program code instructions include instructions such that compressing the consistent mesh sequence for each segment includes:\n determining a trajectory for each vertex within the segment; \n defining clusters of vertices based the trajectories of the vertices; \n constructing a matrix of cluster trajectories; \n performing principal component analysis on the matrix of cluster trajectories; and \n storing a set of eigenvectors and coefficients resulting from the principal component analysis.

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): 0.6199706174335842
- 35 USC 102 Novelty (BERT): 0.4728696730858619
- Combined Prediction Score: 0.605260522998812
- Mean Citation Score: 174.81526399999996
- Max Citation Score: 198.10475
- Similarity Product: 159.07411786845327

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