PATENT CLAIM ANALYSIS

Application Number: 16004592
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["375", "240020"]

Abstract:
Disclosed herein are a method and apparatus for filtering a reference pixel. A method of smoothing a reference pixel may include determining whether or not to perform smoothing on a reference pixel based on the size of a transform block and information about an intra-prediction mode for the transform block and determining a smoothing method by comparing the size of the transform block with the size of a maximum transform block. Accordingly, image coding efficiency can be increased, and picture quality can be improved.

Claim (Index 1):
An intra-prediction method in which an intra-prediction is performed on a current block, comprising:\n determining whether or not to perform smoothing on a reference pixel of the current block based on a size of a block and an intra-prediction mode for the current block, the size of the block being indicated by an encoder and transmitted to a decoder through a higher layer syntax; determining a smoothing filter by comparing the size of the current block with the transmitted size of the block, and in response to the result of comparison between the size of the current block and the transmitted size of the block, determining the smoothing filter to be a bi-linear smoothing filter or a smoothing filter having predetermined filtering coefficients.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 94.0
- Lexical Diversity: 1.81633
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15477352', '14173992', '14929668', '14929685', '14929643']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5084625235581919
- 35 USC 102 Novelty (BERT): 0.5717283745994769
- Combined Prediction Score: 0.5147891086623204
- Mean Citation Score: 319.011532
- Max Citation Score: 452.32355
- Similarity Product: 447.5252399698229

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