PATENT CLAIM ANALYSIS

Application Number: 16178209
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["375", "240030"]

Abstract:
An image coding apparatus includes a block dividing unit configured to divide an input image into a plurality of blocks, a prediction unit configured to perform prediction based on coded pixels to generate prediction errors, a transformation unit configured to perform orthogonal transform to the prediction errors to generate transform coefficients, a quantization matrix generation unit configured to generate quantization matrices that are used to quantize the transform coefficients, a quantization matrix coding unit configured to calculate difference values by scanning the quantization matrices and to code the difference values, a quantization unit configured to generate quantization coefficients by quantizing the generated transform coefficients using the quantization matrices, and a coefficient coding unit configured to code the quantization coefficients, wherein the quantization matrix coding unit is configured to scan coefficients of the quantization matrices in a unidirectional manner to calculate the difference value.

Claim (Index 8):
The image coding apparatus according to  claim 1 , further comprising an image acquisition unit configured to acquire the image data to be coded.

Metadata:
- Claim Count in Document: 27.0
- Percentile: 98.0
- Lexical Diversity: 2.55932
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['16178290', '16178001', '15360459', '14356556', '13667881']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6007897979256842
- 35 USC 102 Novelty (BERT): 0.5967872928976587
- Combined Prediction Score: 0.6003895474228818
- Mean Citation Score: 488.858606
- Max Citation Score: 535.6531
- Similarity Product: 477.04263939395554

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

Dataset: test