PATENT CLAIM ANALYSIS

Application Number: 15935301
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["375", "240160"]

Abstract:
Coding efficiency may be improved by subdividing a block into smaller sub-blocks for prediction. A first rate distortion value of a block optionally partitioned into smaller prediction sub-blocks of a first size is calculated using respective inter prediction modes and transforms of the first size. The residuals are used to encode the block using a transform of a second size smaller than the first size, generating a second rate distortion value. The values are compared to determine whether coding efficiency gains may result from inter predicting the smaller, second size sub-blocks. If so, the block is encoded by generating prediction residuals for the second size sub-blocks, and neighboring sub-blocks are grouped, where possible, based on common motion information. Each resulting composite residual block is transformed by a transform of the same size to generate another rate distortion value. The encoded block with the lowest rate distortion value is used.

Claim (Index 15):
The method of  claim 14 , further comprising:\n encoding the block a fourth time to generate a fourth rate distortion value by encoding a plurality of sub-blocks of the block having a third size between the first size and the second size; and encoding the block a fifth time to generate a fifth rate distortion value by encoding a plurality of sub-blocks of the block having a fourth size between the first size and the second size and different from the third size.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 90.0
- Lexical Diversity: 2.16
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13764020', '14950024', '13743602', '14976438', '14337578']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4979129294921756
- 35 USC 102 Novelty (BERT): 0.5506924915220976
- Combined Prediction Score: 0.5031908856951678
- Mean Citation Score: 292.44716
- Max Citation Score: 419.98276
- Similarity Product: 353.407550494647

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