PATENT CLAIM ANALYSIS

Application Number: 15758967
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-02
Patent Classification: ["375", "240120"]

Abstract:
An intra prediction method includes the steps of: acquiring intra prediction mode information from a bitstream; deriving neighboring samples of a current block; determining an intra prediction mode for the current block on the basis of the intra prediction mode information; deriving a prediction sample of the current block on the basis of the intra prediction mode and the neighboring samples; determining filtering reference samples for the prediction sample on the basis of the intra prediction mode; and deriving a filtered prediction sample by applying filtering to the prediction sample on the basis of the filtering reference samples. According to the present invention, a prediction sample can be adaptively filtered according to the intra prediction mode, and intra prediction performance can be improved.

Claim (Index 11):
The intra-prediction method according to  claim 10 , further comprising deriving a horizontal distance and a vertical distance for filter strength discrimination,\n wherein weak filtering is applied to the prediction sample when the sample position of the prediction sample is within the horizontal distance from the left boundary or within the vertical distance from the upper boundary, and strong filtering is applied to the prediction sample when the sample position of the prediction sample is separated from the left boundary by the horizontal distance or longer and separated from the upper boundary by the vertical distance or longer.

Metadata:
- Claim Count in Document: 30.0
- Percentile: 90.0
- Lexical Diversity: 2.95556
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13992468', '14730939', '15797895', '15344118', '15526076']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5402555877818321
- 35 USC 102 Novelty (BERT): 0.5108071375284259
- Combined Prediction Score: 0.5373107427564915
- Mean Citation Score: 301.676762
- Max Citation Score: 307.53064
- Similarity Product: 236.7764439868164

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