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 14):
A method for encoding a video signal and decoding an encoded video signal, comprising the method of  claim 12 , and\n obtaining said encoded video signal comprising a number of vectorised spatiotemporal surfaces and a number of texture paint attributes; rasterising said number of texture paint attributes, by painting said number of texture paint attributes on a spatiotemporal canvas, guided by said number of vectorised spatiotemporal surfaces, in order to determine constraint maps; filling said spatiotemporal canvas using a spatiotemporal grid based on said constraint maps, using an optimisation algorithm; post-processing said reconstructed video signal by blurring edges along said discretised spatiotemporal grid.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 86.0
- Lexical Diversity: 2.5814
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15212365', '14559409', '14468884', '10715039', '12574715']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4398146485609162
- 35 USC 102 Novelty (BERT): 0.5399327973791929
- Combined Prediction Score: 0.4498264634427439
- Mean Citation Score: 184.2948108
- Max Citation Score: 389.9673
- Similarity Product: 286.8717516794444

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