PATENT CLAIM ANALYSIS

Application Number: 16059378
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["375", "240120"]

Abstract:
Provided is a method and apparatus for performing intra-prediction using an adaptive filter. The method for performing intra-prediction includes the steps of: determining whether or not to apply a first filter for a reference pixel value on the basis of information of a neighboring block of a current block; applying the first filter for the reference pixel value when it is determined to apply the first filter; performing intra-prediction on the current block on the basis of the reference pixel value; determining whether or not to apply a second filter for a prediction value according to each prediction mode of the current block, which is predicted by the intra-prediction performance on the basis of the information of the neighboring block; and applying the second filter for the prediction value according to each prediction mode of the current block when it is determined to apply the second filter.

Claim (Index 5):
A video encoding method comprising:\n encoding information related to whether to apply a first filter to a reference pixel value of a current block and whether to apply a second filter to a prediction value of the current block, wherein the information is related to at least one of an intra prediction mode of the current block and a size of the current block.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 96.0
- Lexical Diversity: 3.03922
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['16057459', '16058487', '16057551', '15798024', '15433890']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5646625042934313
- 35 USC 102 Novelty (BERT): 0.5181032185806052
- Combined Prediction Score: 0.5600065757221487
- Mean Citation Score: 336.777412
- Max Citation Score: 337.731
- Similarity Product: 317.36155558097363

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