PATENT CLAIM ANALYSIS

Application Number: 15927753
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["375", "240020"]

Abstract:
For at least one respective bin of the bin stream, a decoder may determine, based on a state for the respective bin, an interval for the respective bin, and the offset value, a value of the respective bin. Additionally, the decoder determines one or more Finite State Machine (FSM) parameters for a next bin of the bin stream. The one or more FSM parameters for the next bin controls how probability estimates for the next bin are computed from a state for the respective bin. The decoder determines using a parameterized state updating function that takes as input the state for the respective bin, the one or more FSM parameters for the next bin of the bin stream, and the value of the respective bin, a state for the next bin of the bin stream. The decoder may debinarize the bin stream to form a decoded syntax element.

Claim (Index 24):
The apparatus of  claim 23 , wherein the one or more processors are configured such that the measure of past probability variation is computed by summing absolute differences between probabilities estimated using an estimation variation measure for the particular bin defined as: \u03c3 \ue8a0 [ k + 1 ] = \u03c3 \ue8a0 [ k ] + \u230a \uf603 q 1 \ue8a0 [ k ] - q 2 \ue8a0 [ k ] \ue89e \uf603 - \u03c3 \ue8a0 [ k ] 2 c \u230b where \u03c3[k+1] is the estimation variation measure for the next bin of the bin stream, \u03c3[k] is an estimation variation measure for the particular bin, q 1 [k] is a first probability estimate for the particular bin, q 2 [k] is a second probability estimate for the particular bin, and c is a parameter.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 90.0
- Lexical Diversity: 2.82759
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15166044', '15166068', '15166153', '15864901', '13647956']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.550615393742041
- 35 USC 102 Novelty (BERT): 0.5224189453588892
- Combined Prediction Score: 0.5477957489037258
- Mean Citation Score: 309.6754180000001
- Max Citation Score: 329.23056
- Similarity Product: 233.67921870563512

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