PATENT CLAIM ANALYSIS

Application Number: 15946529
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["381", "023000"]

Abstract:
The present disclosure provides methods, devices and computer program products for encoding and decoding of a vector of parameters in an audio coding system. The disclosure further relates to a method and apparatus for reconstructing an audio object in an audio decoding system. According to the disclosure, a modulo differential approach for coding and encoding a vector of a non-periodic quantity may improve the coding efficiency and provide encoders and decoders with less memory requirements. Moreover, an efficient method for encoding and decoding a sparse matrix is provided.

Claim (Index 5):
The method of  claim 1 , wherein, for each row in the upmix matrix and for a plurality of frequency bands or a plurality of time frames, the values and/or the positions of the elements of the selected subsets of elements form one or more vector of parameters, each parameter in the vector of parameters corresponding to one of the plurality of frequency bands or the plurality of time frames, the vector of parameters having a first element and at least one second element, wherein the method comprises encoding the one or more vectors of parameters by at least:\n representing each parameter in the vector by an index value which may take N values; associating each of the at least one second element with a symbol, the symbol being calculated by:\n calculating a difference between the index value of the second element and the index value of its preceding element in the vector; \n applying modulo N to the difference; \n encoding each of the at least one second element by entropy coding of the symbol associated with the at least one second element based on a probability table comprising probabilities of the symbols.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 91.0
- Lexical Diversity: 1.75926
- Patent Class: 381.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15643416', '14892722', '15030327', '15521157', '15031130']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7349277597809839
- 35 USC 102 Novelty (BERT): 0.5554841948019119
- Combined Prediction Score: 0.7169834032830767
- Mean Citation Score: 318.64298799999995
- Max Citation Score: 442.4008
- Similarity Product: 343.30885850625043

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