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 21):
A method for decoding information from a datastream to reconstruct a picture, which is partitioned into slices, the method comprising:\n entropy decoding the slices based on wavefront parallel processing (WPP) in which a current slice of the slices is entropy decoded according to one of at least two modes, wherein the entropy decoding includes:\n in accordance with a first mode of the at least two modes,\n decoding data related to the current slice from the datastream using context adaptive entropy decoding to obtain a residual signal, the context adaptive entropy decoding 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 decoded slice, wherein, in initializing the symbol probability associated with the current slice in accordance with the first mode, the entropy decoding 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 based on the saved symbol probability as acquired in context adaptive entropy decoding the previously decoded slice up to the second coding block in a second row associated with the previously decoded slice in accordance with the raster scan order, and \n \n in accordance with a second mode of the at least two modes,\n decoding data related to the current slice from the datastream using context adaptive entropy decoding to obtain a residual signal, the context adaptive entropy decoding including restricting the derivation of the contexts so as to not cross the slice boundaries and initializing the symbol probabilities independent on a previously decoded slice, and saving the symbol probability as acquired in context adaptive entropy decoding the previously decoded slice up to the second coding block in the second row associated with the previously decoded slice in accordance with the raster scan order; \n \n generating a prediction signal based on prediction parameters related to the current slice from the datastream; and reconstructing a portion of the picture related to the current slice based on the residual signal and the prediction signal.

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): 0.5581640267369925
- 35 USC 102 Novelty (BERT): 0.7319775750573446
- Combined Prediction Score: 0.5755453815690277
- Mean Citation Score: 567.31059
- Max Citation Score: 825.00275
- Similarity Product: 809.3128523173482

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