PATENT CLAIM ANALYSIS

Application Number: 15940879
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-08
Patent Classification: ["375", "240220"]

Abstract:
A better compromise between encoding complexity and achievable rate distortion ratio, and/or to achieve a better rate distortion ratio is achieved by using multitree sub-divisioning not only in order to subdivide a continuous area, namely the sample array, into leaf regions, but using the intermediate regions also to share coding parameters among the corresponding collocated leaf blocks. By this measure, coding procedures performed in tiles—leaf regions—locally, may be associated with coding parameters individually without having to, however, explicitly transmit the whole coding parameters for each leaf region separately. Rather, similarities may effectively exploited by using the multitree subdivision.

Claim (Index 2):
The decoder according to  claim 1 , wherein for each inheritance region corresponding to a hierarchy level defined by the multi-tree subdivision, the decoder is configured for checking, based on the inheritance information associated with the inheritance region, whether the inheritance is to be used,\n when the inheritance is to be used, the extractor is further configured for extracting, from the data stream, an inheritance set of coding parameters associated with the inheritance region, and copying the inheritance set of coding parameters to a corresponding inheritance subset of coding parameters associated with each of leaf regions which constitute the inheritance region without further extracting coding parameters for each of the leaf regions.

Metadata:
- Claim Count in Document: 80.0
- Percentile: 90.0
- Lexical Diversity: 1.48649
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15196890', '15197189', '15707467', '15196113', '15196342']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6232565383039788
- 35 USC 102 Novelty (BERT): 0.6084371271327801
- Combined Prediction Score: 0.6217745971868589
- Mean Citation Score: 527.113658
- Max Citation Score: 535.4468400000002
- Similarity Product: 434.8230665339472

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