PATENT CLAIM ANALYSIS

Application Number: 15866959
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-02
Patent Classification: ["375", "240010"]

Abstract:
A video encoding apparatus may include a memory storing interest region information for each of a plurality of scenarios and a neural processing unit (NPU) extracting interest region information corresponding to a scenario of an input video from the memory or updating the interest region information stored in the memory based on an user input.

Claim (Index 9):
A video encoding apparatus, comprising:\n a memory configured to store interest region information for each of a plurality of scenarios; and a processor configured to,\n extract, from the memory, the interest region information corresponding to a scenario associated with an input video by analyzing the scenario, \n divide a current frame included in the input video into a plurality of blocks, \n divide the plurality of blocks into a first block corresponding to a region of interest and a second block corresponding to a non-region of interest based on the interest region information, \n determine a first quantization parameter value for the first block and a second quantization parameter value for the second block, and \n encode the current frame based on the first quantization parameter value and the second quantization parameter value to generate compressed data.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 86.0
- Lexical Diversity: 1.45
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['11731851', '14197756', '15382595', '13539730', '15297732']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4673587081192888
- 35 USC 102 Novelty (BERT): 0.4760539469462192
- Combined Prediction Score: 0.4682282320019819
- Mean Citation Score: 184.429228
- Max Citation Score: 187.98466
- Similarity Product: 148.12070499052763

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

Dataset: test