PATENT CLAIM ANALYSIS

Application Number: 16514052
Application Type: Utility
Filing Date: 2019-07
Publication Date: 2019-11
Patent Classification: ["375", "240020"]

Abstract:
Parallel processing concepts such as wavefront parallel processing, are realized with a reduced end-to-end delay by giving up the usual slice concept according to which slices are either coded/decoded completely independent from areas of the picture outside of the respective slice, or at least independent from areas outside the respective slice as far as the entropy coding is concerned, namely in favor of slices of different modes, namely ones called dependent slices which allow for interdependencies across slice boundaries, and others which do not, called normal slices, for example. Combined with the aspect or not, WPP processing concept is made more efficiently by using the slices' start syntax portions to locate WPP entry points.

Claim (Index 29):
A non-transitory computer-readable medium for storing data associated with a video, comprising:\n a data stream stored in the non-transitory computer-readable medium, the data stream comprising encoded information related to a picture of a video, wherein the picture is partitioned in units of slices, wherein the encoded information is coded into the data stream for storing in the non-transitory computer-readable medium by operations including: generating a residual signal related to a current slice of the slices of the picture; generating prediction parameters based on a prediction signal, wherein the prediction parameters are encoded into the datastream; entropy encoding the slices based on wavefront parallel processing (WPP) in which the residual signal related to the current slice is entropy encoded according to one of at least two modes, wherein the entropy encoding includes: if the current slice is to be coded in accordance with a first mode of the at least two modes,\n encoding the residual signal using context adaptive entropy encoding including deriving contexts across slice boundaries and initializing a symbol probability associated with the current slice depending on a saved state of the symbol probability of a previously encoded slice, wherein, in initializing the symbol probability associated with the current slice in accordance with the first mode, the entropy encoding includes: \n responsive to a determination that a first coding block associated with the current slice is the first coding block in a first row of the picture in accordance with a raster scan order, initializing the symbol probability associated with the current slice depending on the saved symbol probability as acquired in context adaptive entropy encoding the previously encoded slice up to the second coding block in a second row associated with the previously encoded slice in accordance with the raster scan order, and \n if the current slice is to be coded in accordance with a second mode of the at least two modes,\n encoding the residual signal using context adaptive entropy encoding with restricting the derivation of the contexts so as to not cross the slice boundaries and initializing the symbol probabilities independent on any previously encoded slice, and saving the symbol probability as acquired in context adaptive entropy encoding the previously encoded slice up to the second coding block in the second row associated with the previously encoded slice in accordance with the raster scan order.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 100.0
- Lexical Diversity: 1.60256
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16153307', '14511200', '14334789', '13841253', '16123184']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5637907675451908
- 35 USC 102 Novelty (BERT): 0.7190711686525375
- Combined Prediction Score: 0.5793188076559255
- Mean Citation Score: 567.31059
- Max Citation Score: 825.00275
- Similarity Product: 771.332529836759

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