PATENT CLAIM ANALYSIS

Application Number: 15860688
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["375", "240160"]

Abstract:
An exemplary motion vector predictor determination method includes the following steps: determining a motion vector predictor of a block according to motion vector data of neighbor units associated with the block; and utilizing a motion vector predictor computing circuit for assigning the motion vector predictor determined for the block to a first sub-block within the block. In addition, an exemplary motion vector predictor determination apparatus employing the exemplary motion vector predictor determination method is provided.

Claim (Index 2):
The method of  claim 1 , wherein the neighbor units comprise at least one first neighbor unit adjacent to the block and at least one second neighbor unit adjacent to the block; and the method further comprises:\n checking if motion vector data of the at least one first neighbor unit and motion vector data of the at least one second neighbor unit are identical to each other; and when a checking result indicates that the motion vector data of the at least one first neighbor unit is identical to the motion vector data of the at least one second neighbor unit, assigning the motion vector predictor determined for the block to a second sub-block within the block; wherein the motion vector data of the at least first neighbor unit is involved in determining the motion vector predictor of the block, and the motion vector data of the at least one second neighbor unit is not involved in determining the motion vector predictor of the block.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 86.0
- Lexical Diversity: 1.86047
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14753004', '14872147', '15725052', '13117334', '11655231']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4619846600509775
- 35 USC 102 Novelty (BERT): 0.5800188234763329
- Combined Prediction Score: 0.473788076393513
- Mean Citation Score: 281.858894
- Max Citation Score: 456.0069
- Similarity Product: 426.80976049591897

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