PATENT CLAIM ANALYSIS

Application Number: 16109874
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["375", "240160"]

Abstract:
The entropy coding of a current part of a predetermined entropy slice is based on, not only, the respective probability estimations of the predetermined entropy slice as adapted using the previously coded part of the predetermined entropy slice, but also probability estimations as used in the entropy coding of a spatially neighboring, in entropy slice order preceding entropy slice at a neighboring part thereof. Thereby, the probability estimations used in entropy coding are adapted to the actual symbol statistics more closely, thereby lowering the coding efficiency decrease normally caused by lower-delay concepts. Temporal interrelationships are exploited additionally or alternatively.

Claim (Index 20):
A method for encoding a sample array of a video into an entropy-encoded data stream, the method comprising:\n entropy encoding a plurality of slice subsets into the entropy-encoded data stream, each plurality of slice subsets comprising entropy-encoded data for a corresponding row of the sample array, wherein the entropy encoding includes inserting into the data stream position information related to a starting position within the data stream of a first slice subset of the plurality of slice subsets, the position information being encoded based on Exponential-Golomb coding, being specific to the first slice subset, and indicating a difference between a starting position within the data stream of a second slice subset and the starting position of the first slice subset, wherein entropy encoding of the second slice subset precedes entropy encoding of the first slice subset.

Metadata:
- Claim Count in Document: 80.0
- Percentile: 96.0
- Lexical Diversity: 1.86207
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15639259', '15639129', '15414356', '15639312', '14141374']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5537509765878353
- 35 USC 102 Novelty (BERT): 0.5719380247566794
- Combined Prediction Score: 0.5555696814047197
- Mean Citation Score: 466.716168
- Max Citation Score: 472.0647
- Similarity Product: 383.1771615771175

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