PATENT CLAIM ANALYSIS

Application Number: 16140796
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-02
Patent Classification: ["375", "240180"]

Abstract:
A subblock-based coding of transform coefficient blocks of the enhancement layer is rendered more efficient. To this end, the subblock subdivision of the respective transform coefficient block is controlled on the basis of the base layer residual signal or the base layer signal. In particular, by exploiting the respective base layer hint, the subblocks may be made longer along a spatial frequency axis transverse to edge extensions observable from the base layer residual signal or the base layer signal.

Claim (Index 17):
The non-transitory computer-readable medium according to  claim 15 , the plurality of operations further including:\n performing an inverse transform on the transform coefficients of the transform coefficient block to obtain an enhancement layer residual signal representing a prediction residual of a prediction signal for the enhancement layer signal; and reconstructing the enhancement layer signal by spatially, temporally and/or inter-layer predicting the enhancement layer signal to obtain the prediction signal for the enhancement layer signal, and applying the enhancement layer residual signal to the prediction signal for the enhancement layer signal.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 97.0
- Lexical Diversity: 1.66667
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14666662', '14673908', '14666634', '14666600', '14666658']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6386479800490406
- 35 USC 102 Novelty (BERT): 0.6106939449517229
- Combined Prediction Score: 0.6358525765393088
- Mean Citation Score: 590.830592
- Max Citation Score: 686.4504
- Similarity Product: 539.0509346829414

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