PATENT CLAIM ANALYSIS

Application Number: 15751077
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["375", "240020"]

Abstract:
A video decoding method performed by a decoding apparatus includes the steps of: deriving control points (CP) for a current block; acquiring movement vectors for the CPs; deriving a sample unit movement vector in the current block on the basis of the acquired movement vectors; and deriving a prediction sample for the current block on the basis of the sample unit movement vector. According to the present invention, it is possible to effectively perform, through sample unit motion vectors, inter-prediction not only in a case where an image in the current block is plane-shifted but also in a case where there are various image distortions.

Claim (Index 6):
The video decoding method of  claim 4 , wherein\n when a partition ID of the PU corresponding to the current block is 1 and a top-left sample position of the current CU is (xc, yc), the neighboring sample group 0 further includes at least one of a sample of (xc\u22121, yc\u22121) coordinates, a sample of (xc\u22121, yc) coordinates, and a sample of (xc, yc\u22121) coordinates, and the neighboring sample group 2 further includes at least one of a sample of (xc\u22121, yc+S\u22121) coordinates, a sample of (xc\u22121, yc+S) coordinates, and a sample of (xc, yc+S) coordinates.

Metadata:
- Claim Count in Document: 27.0
- Percentile: 88.0
- Lexical Diversity: 1.84127
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16087963', '14390135', '15621878', '15405142', '14347523']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5410212432162792
- 35 USC 102 Novelty (BERT): 0.5441099414371772
- Combined Prediction Score: 0.541330113038369
- Mean Citation Score: 305.300568
- Max Citation Score: 405.49106
- Similarity Product: 291.3399925751412

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

Dataset: test