PATENT CLAIM ANALYSIS

Application Number: 16236858
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-05
Patent Classification: ["375", "240240"]

Abstract:
A moving picture coding method includes: making a determination as to whether or not to code all blocks in a current picture in the skip mode; setting, based on a result of the determination, a first flag indicating whether or not a temporally neighboring block is to be referenced, a value of a parameter for determining a total number of merging candidates, and a second flag for each block included in the current picture, the second flag indicating whether or not the block is to be coded in the skip mode; calculating, as a merging candidate, a neighboring block usable for merging; and coding an index which indicates a merging candidate to be used for coding of the current block and attaching the coded index to a bitstream.

Claim (Index 2):
A moving picture decoding method using a candidate to decode a current block, the moving picture decoding method comprising:\n decoding information included in a header of a group of blocks, the information indicating whether or not each block included in the group of blocks is to be decoded with no residual; selecting a prediction motion vector candidate from among at least one prediction motion vector candidate; and decoding the group of blocks using the selected prediction motion vector candidate, wherein when the information indicates the each block included in the group of blocks is to be decoded with no residual, (i) no residual is decoded for all the blocks included in the group of the blocks and (ii) the at least one prediction motion vector candidate includes a zero vector candidate having zero values for all components thereof.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 98.0
- Lexical Diversity: 2.22222
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15252971', '15854104', '13875481', '15867203', '16135900']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5330361323191171
- 35 USC 102 Novelty (BERT): 0.546825893464826
- Combined Prediction Score: 0.534415108433688
- Mean Citation Score: 365.893964
- Max Citation Score: 408.88416
- Similarity Product: 368.80269551496514

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