PATENT CLAIM ANALYSIS

Application Number: 16047567
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["375", "240160"]

Abstract:
A method and apparatus for encoding and decoding a motion vector of a current block. The method of encoding including: generating information about the motion vector based on a motion vector of a current block and a motion vector predictor of the current block by estimating the motion vector and determining a first motion vector predictor candidate from among a plurality of motion vector predictor candidates as the motion vector predictor based on a result of the estimating; and generating a virtual motion vector by using a second motion vector predictor candidate and the information about the motion vector, generating vector differences between the virtual motion vector and the plurality of motion vector predictor candidates, comparing the vector differences with the information about the motion vector, and selectively excluding the second motion vector predictor candidate according to the comparing.

Claim (Index 1):
An image decoding apparatus comprising\n a decoding unit configured to decode, from a bitstream including an image, information about a motion vector difference for a current block and information about a motion vector predictor for the current block; a candidate determiner configured to generate a motion vector predictor candidate group, and to modify the motion vector predictor candidate group based on vectorial values of motion vector predictor candidates in the motion vector predictor candidate group; and a motion vector restoring unit configured to determine a motion vector predictor for the current block from among motion vector predictor candidates in the modified motion vector predictor candidate group based on the information about the motion vector predictor, and to determine a motion vector for the current block based on the motion vector predictor and the information about the motion vector difference, wherein, the modified motion vector predictor candidate group includes at least one of a 1st motion vector predictor candidate and 2nd motion vector predictor candidates, the 1st motion vector predictor candidate is a motion vector of a collocated block to the current block, the collocated block is located in a reference picture, the 2nd vector predictor candidates are motion vectors of neighboring blocks of the current block, wherein the neighboring blocks includes a first block located in lower left side of the current block, and includes a second block located in upper side of the first block, wherein the candidate determiner modifies the motion vector predictor candidate group, when at least two of 2nd motion vector predictor candidates have the same value, by removing all of the at least two of 2nd motion vector predictor candidates except for one of the at least two of 2nd motion vector predictor candidates from the motion vector predictor candidate group, wherein the image is split into a plurality of maximum coding units according to information about size of the maximum coding units, the maximum coding unit is hierarchically split into one or more coding units of depths including at least one of a current depth and a lower depth, and wherein the current block is included in one of the one or more coding units of depths including at least one of the current depth and the lower depth.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 95.0
- Lexical Diversity: 3.04167
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15395791', '13009105', '14677735', '14515226', '13628682']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6060121719168077
- 35 USC 102 Novelty (BERT): 0.6267965431355502
- Combined Prediction Score: 0.608090609038682
- Mean Citation Score: 503.137164
- Max Citation Score: 573.69965
- Similarity Product: 569.4333929682434

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

Dataset: test