PATENT CLAIM ANALYSIS

Application Number: 16203425
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["375", "240160"]

Abstract:
The invention relates to the encoding or decoding of at least one portion of an image by predicting the at least one portion using at least one predictor, the at least one predictor being determined as a function of at least one reference image portion and as a function of values of a plurality of items of motion information. After having obtained a value of a first item of the plurality of items, a value of a second item is evaluated as a function of the obtained value of the first item, the second item being an item of the plurality of items and being distinct from the first item. Next, the at least one predictor is determined as a function of the at least one reference image portion and as a function of the first and second items.

Claim (Index 11):
A device for decoding encoded video data, the device comprising at least one microprocessor configured for carrying out the steps of:\n selecting one prediction mode among a skip mode, a merge mode or a motion prediction mode; and decoding an image portion using the selected prediction mode; wherein during the decoding, an adaptive motion vector resolution is used only if the selected prediction mode is the motion prediction mode.

Metadata:
- Claim Count in Document: 27.0
- Percentile: 98.0
- Lexical Diversity: 3.24444
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15425838', '15523180', '15851000', '15520593', '13523772']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5162628469921873
- 35 USC 102 Novelty (BERT): 0.5109389268831749
- Combined Prediction Score: 0.515730454981286
- Mean Citation Score: 288.521338
- Max Citation Score: 315.1548200000001
- Similarity Product: 263.15796852165704

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

Dataset: test