PATENT CLAIM ANALYSIS

Application Number: 16178290
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 3):
The image coding apparatus according to  claim 1 , wherein a number of rows of the quantization matrix is equal to a number of columns of the quantization matrix.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 98.0
- Lexical Diversity: 2.55932
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['16178001', '15360459', '16178209', '14356556', '13667881']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5776322760386338
- 35 USC 102 Novelty (BERT): 0.6102998034765599
- Combined Prediction Score: 0.5808990287824264
- Mean Citation Score: 486.634906
- Max Citation Score: 535.3933
- Similarity Product: 497.084467119056

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