PATENT CLAIM ANALYSIS

Application Number: 16016031
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["375", "240000"]

Abstract:
A method of encoding a video is provided, the method includes: determining a filtering boundary on which deblocking filtering is to be performed based on at least one data unit from among a plurality of coding units that are hierarchically configured according to depths indicating a number of times at least one maximum coding unit is spatially spilt, and a plurality of prediction units and a plurality of transformation units respectively for prediction and transformation of the plurality of coding units, determining filtering strength at the filtering boundary based on a prediction mode of a coding unit to which pixels adjacent to the filtering belong from among the plurality of coding units, and transformation coefficient values of the pixels adjacent to the filtering boundary, and performing deblocking filtering on the filtering boundary based on the determined filtering strength.

Claim (Index 1):
A method of decoding a video, which performs deblocking filtering based on coding units, the method comprising:\n receiving a bitstream including data of a picture, information about a size of a maximum coding unit, and split information; splitting the picture into a plurality of maximum coding units using the information about the size of the maximum coding unit; hierarchically splitting the maximum coding unit into one or more coding units based on the split information; determining one or more prediction units in one of the coding units using partition type information, wherein the partition type information indicates one of a symmetric type and an asymmetric type; determining one or more transform units in the coding unit using size information of a transform unit, wherein the transform unit is rectangular with a horizontal size and a vertical size indicated by the size information; performing prediction on the prediction unit in the coding unit and inverse-transformation on the transform unit in the coding unit, in order to generate a reconstructed coding unit; when a boundary included in the reconstructed coding unit corresponds to at least one of a boundary of the prediction unit and a boundary of the transform unit, determining a boundary strength for the boundary based on non-zero transformation coefficients, prediction mode, a motion vector, and a reference index; determining a deblocking filtering method including a number of filter-taps and a location of pixels to be deblocking-filtered, based on the boundary strength and neighboring pixels adjacent to the boundary; and performing deblocking filtering of pixels according to the deblocking filtering method, in order to generate a filtered coding unit including the deblocking-filtered pixels, wherein when the split information indicates a split for a current depth, a coding unit of a current depth is split into the coding units of a lower depth, independently from neighboring coding units, wherein the motion vector is used for inter prediction of a prediction unit to which pixels adjacent to the boundary belong, and the motion vector is used to determine the boundary strength when a prediction mode of the coding unit to which the pixels adjacent to the boundary belong is an inter mode, and wherein the deblocking filtering is performed according to the deblocking filtering method when the boundary is not a boundary of the picture.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 94.0
- Lexical Diversity: 2.45763
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13641403', '15044672', '14307096', '14600924', '15969104']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5628495849206874
- 35 USC 102 Novelty (BERT): 0.5860723285769042
- Combined Prediction Score: 0.5651718592863091
- Mean Citation Score: 476.403332
- Max Citation Score: 538.2409
- Similarity Product: 527.3546311102749

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