PATENT CLAIM ANALYSIS

Application Number: 16016857
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-05
Patent Classification: ["375", "240160"]

Abstract:
A method for encoding a current frame of a video includes jointly determining respective motion models for reference frames and encoding the current frame using the respective motion models. The reference frames are used for encoding the current frame. Jointly determining respective motion models for reference frames includes determining respective aggregated residuals for combinations of candidate motion models and selecting the combination of candidate motion models that corresponds to the smallest aggregated residual. The respective motion models correspond to the candidate motion models of the selected combination.

Claim (Index 3):
The method of  claim 2 ,\n wherein a combination of the combinations of candidate motion models comprises a first candidate motion model for a first reference frame, a second candidate motion model for a second reference frame, and a third candidate motion model for a third reference frame, and wherein determining respective aggregated residuals for combinations of candidate motion models comprises:\n determining, for a current block, a first residual block using the first candidate motion model; \n determining, for the current block, a second residual block using the second candidate motion model; \n determining, for the current block, a third residual block using the third candidate motion model; and \n adding, to an aggregated residual of the current frame, the one of the first residual block, the second residual block, and the third residual block corresponding to a smallest residual block.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 94.0
- Lexical Diversity: 2.39474
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15838748', '15420564', '15147053', '13974678', '15338554']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5139747052319594
- 35 USC 102 Novelty (BERT): 0.5005998322737581
- Combined Prediction Score: 0.5126372179361394
- Mean Citation Score: 237.114834
- Max Citation Score: 261.7965
- Similarity Product: 198.08093330714104

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