PATENT CLAIM ANALYSIS

Application Number: 15747336
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-08
Patent Classification: ["375", "240020"]

Abstract:
An encoder for encoding a video signal, comprising a spatiotemporal edge detector configured for detecting a number of spatiotemporal surfaces of said video signal, a vectorising module configured for said spatiotemporal surfaces and an attribute tracer configured for determining for said vectorised spatiotemporal surfaces a number of texture paint attributes, said number of texture paint attributes characterising at least one of a colour and a texture on at least one side of a respective vectorised spatiotemporal surface of said vectorised spatiotemporal surfaces; and wherein said encoder is configured for encoding said video signal based on said vectorised spatiotemporal surfaces and said number of texture paint attributes.

Claim (Index 4):
The encoder of  claim 1 , wherein said spatiotemporal edge detector is configured for:\n smoothing a frame under consideration of said video signal spatiotemporally using an asymmetric exponentially decaying window; computing intensity gradients spatiotemporally; applying non-maximum suppression spatiotemporally; and thresholding edges spatiotemporally, using hysteresis thresholding extending along a time dimension of said video signal over a finite number of frames of said video signal preceding said frame under consideration.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 86.0
- Lexical Diversity: 2.5814
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15212365', '14559409', '14468884', '10715039', '12574715']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4693651509928136
- 35 USC 102 Novelty (BERT): 0.542133274463587
- Combined Prediction Score: 0.4766419633398909
- Mean Citation Score: 184.2948108
- Max Citation Score: 389.9673
- Similarity Product: 284.5787911423445

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

Dataset: test