PATENT CLAIM ANALYSIS

Application Number: 16206672
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["375", "240120"]

Abstract:
The invention relates to a motion compensation performed under an inter-frame prediction. A fractional sample interpolation is applied on retrieved samples to generate fractional samples. The fractional sample interpolation comprises a plurality of filtering operations, and all of filtered results from the filtering operations are truncated down to a predetermined bit depth independent of the bit depth of the samples stored in the reference picture memory.

Claim (Index 1):
A video decoding method for motion compensation performed under an inter-frame prediction, the method comprising computer executable steps executed by a processor of a video decoder to implement:\n retrieving reference samples from a reference picture memory; applying a first fractional sample interpolation on the retrieved samples in a first direction to generate a first set of fractional samples; and applying a second fractional sample interpolation on the first set of fractional samples in a second direction to generate a second set of fractional samples, wherein the reference samples are represented with a first bit depth and the first set of fractional samples are represented with a second bit depth which is constant regardless of the first bit depth of the reference samples, wherein a bidirectional prediction sample is generated by combining two second sets of fractional samples by a sample interpolation, the two second sets being different from each other, wherein a value of the bidirectional prediction sample is clipped so as to be represented with the first bit depth of the reference sample.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 98.0
- Lexical Diversity: 1.48936
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15795658', '14126734', '13536484', '14130180', '12099731']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4929490978884836
- 35 USC 102 Novelty (BERT): 0.5259386049791862
- Combined Prediction Score: 0.4962480485975539
- Mean Citation Score: 269.430016
- Max Citation Score: 354.8196
- Similarity Product: 309.52551654481886

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