PATENT CLAIM ANALYSIS

Application Number: 15941904
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-02
Patent Classification: ["375", "240020"]

Abstract:
Methods, apparatuses and systems may provide for technology that quickly and accurately determines a limited number of partition maps and a limited number of mode subsets. A partition and mode simplification system may include a content analyzer based partitions and mode subset generator system, which itself may include a content analyzer and features generator as well as a partitions and mode subset generator. The content analyzer and features generator may determine a plurality of spatial features and temporal features for a current largest coding unit of a current frame of the video sequence. The partitions and mode subset generator may determine a limited number of partition maps and a limited number of mode subsets for the current largest coding unit of the current frame based at least in part on the spatial features and temporal features.

Claim (Index 17):
The method of  claim 15 , wherein the limited number of partition maps include a primary partitioning map and an optional alternate partitioning map; and\n wherein both the primary partitioning map and the alternate partitioning map are generated by recursive cascading of split decisions with logical control.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 90.0
- Lexical Diversity: 2.58182
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13526261', '14226012', '15628961', '15201227', '14497128']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.494446355525222
- 35 USC 102 Novelty (BERT): 0.4967991181948742
- Combined Prediction Score: 0.4946816317921872
- Mean Citation Score: 195.080694
- Max Citation Score: 197.74506
- Similarity Product: 126.76710716041804

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

Dataset: test