PATENT CLAIM ANALYSIS

Application Number: 16011674
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-05
Patent Classification: ["375", "240030"]

Abstract:
A video encoding apparatus includes at least one processor. The at least one processor is configured to adjust a size of a first quantization parameter with reference to a characteristic of quantization coefficients generated from input data by using the first quantization parameter, to determine the first quantization parameter of the adjusted size as a final quantization parameter, and to quantize the input data by using the final quantization parameter to generate output data.

Claim (Index 2):
The video encoding apparatus of  claim 1 , wherein, if first restoration data to be generated by restoring the input data by using the first quantization parameter and second restoration data to be generated by restoring the input data by using a second quantization parameter are the same as each other or are different from each other within a reference range is determined with reference to the characteristic of the quantization coefficients generated by using the first quantization parameter, the at least one processor increases the size of the first quantization parameter to a size of the second quantization parameter, and\n wherein the size of the second quantization parameter is greater than the size of the first quantization parameter.

Metadata:
- Claim Count in Document: 19.0
- Percentile: 94.0
- Lexical Diversity: 1.90244
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15684172', '13870149', '11688130', '15297732', '15728617']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5131297748642282
- 35 USC 102 Novelty (BERT): 0.5048465452110209
- Combined Prediction Score: 0.5123014518989074
- Mean Citation Score: 229.09503000000004
- Max Citation Score: 246.94096
- Similarity Product: 164.75920699245452

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