PATENT CLAIM ANALYSIS

Application Number: 16200335
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["348", "077000"]

Abstract:
For an image portion to encode an initial set of motion information predictors is obtained. It is tested whether the number of motion information predictors in the initial set is lower than a target number and, if so, one or more motion information predictors are added to the initial set to generate a set of motion information predictors having controlled diversity. The motion information predictors of the initial set are actual motion information predictors, having motion vectors obtained from image portions of the image being encoded or of a reference image, and potential motion information predictors for addition include one or more further such actual motion information predictors and also include one or more virtual motion information predictors not having motion vectors obtained from image portions of said image being encoded or of a reference image. A motion information predictor for the image portion to encode is selected from the generated set of motion information predictors.

Claim (Index 2):
A method according to  claim 1 , further comprising decoding an item of information representative of a selected motion information predictor for said image portion of said image to be decoded.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 98.0
- Lexical Diversity: 2.73333
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['16200378', '13978950', '16058396', '15962922', '13978987']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6908779260407528
- 35 USC 102 Novelty (BERT): 0.5437202870702889
- Combined Prediction Score: 0.6761621621437064
- Mean Citation Score: 374.723004
- Max Citation Score: 396.62576
- Similarity Product: 393.3356076352407

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