PATENT CLAIM ANALYSIS

Application Number: 15768403
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["375", "240160"]

Abstract:
An inter prediction method according to the present invention, which is performed by a decoding apparatus, comprises the steps of: acquiring prediction-related information and residual information from a received bitstream; performing inter prediction on a current block on the basis of the prediction-related information so as to generate prediction samples; generating a list of Wiener filter candidates on the basis of spatially neighboring blocks of the current block, and deriving Wiener filter coefficients for the current block on the basis of candidate blocks in the list of the Wiener filter candidates; filtering the prediction samples on the basis of the derived Wiener filter coefficients; deriving residual samples for the current block on the basis of the residual information; and generating a reconstructed picture on the basis of the filtered prediction samples and the residual samples. The present invention can reduce the amount of data for a residual signal and improve coding efficiency.

Claim (Index 5):
The method for decoding of  claim 1 , wherein the current block is a coding block,\n wherein the prediction related information includes prediction mode information and partitioning mode information for the current block, and wherein the Wiener filter is determined to be not available in at least one case of a case that a prediction mode of the current block is a skip mode or a case that a partitioning mode of the current block is 2N\u00d72N.

Metadata:
- Claim Count in Document: 16.0
- Percentile: 91.0
- Lexical Diversity: 2.43284
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15764723', '15878740', '15780047', '14692691', '14692690']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5451560177193543
- 35 USC 102 Novelty (BERT): 0.5608411087353901
- Combined Prediction Score: 0.5467245268209578
- Mean Citation Score: 319.701176
- Max Citation Score: 449.15833
- Similarity Product: 357.56387210370536

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