PATENT CLAIM ANALYSIS

Application Number: 15746139
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["375", "240120"]

Abstract:
An intra prediction method performed by a decoding device, according to the present invention, comprises the steps of: deriving an intra prediction mode for a current block; deriving neighboring samples of the current block; and generating a prediction sample for the current block by using at least one of the neighboring samples according to the intra prediction mode, wherein the derived neighboring samples include left neighboring samples, upper left neighboring samples, upper neighboring samples, right neighboring samples, lower right neighboring samples, and lower neighboring samples of the current block. According to the present invention, intra prediction performance can be improved by using expanded neighboring reference samples, and coding efficiency for CUs can be improved.

Claim (Index 13):
The method of  claim 1 , further comprising obtaining information about the intra prediction mode from bitstream,\n wherein the intra prediction mode for the current block is an intra planar mode, wherein a value of the predicted sample is derived using two samples positioned at the same column as the predicted sample and two samples positioned at the same row as the predicted sample among the neighboring samples.

Metadata:
- Claim Count in Document: 12.0
- Percentile: 86.0
- Lexical Diversity: 2.43396
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14113708', '14692134', '15758967', '13992468', '14730939']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5353021077505173
- 35 USC 102 Novelty (BERT): 0.521579470109335
- Combined Prediction Score: 0.5339298439863991
- Mean Citation Score: 327.236358
- Max Citation Score: 335.75305
- Similarity Product: 237.98639070165748

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test