PATENT CLAIM ANALYSIS

Application Number: 16130238
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-01
Patent Classification: ["375", "240030"]

Abstract:
A method of encoding image data, including: frequency-transforming input image data to generate an array of frequency-transformed input image coefficients by a matrix-multiplication process, according to a maximum dynamic range of the transformed data and using transform matrices having a data precision; and selecting the maximum dynamic range and/or the data precision of the transform matrices according to the bit depth of the input image data.

Claim (Index 1):
A method of encoding image data, comprising:\n frequency-transforming input image data to generate an array of frequency-transformed input image coefficients by a matrix-multiplication process, according to a maximum dynamic range of the transformed data and using transform matrices having a data precision; and selecting the maximum dynamic range and/or the data precision of the transform matrices according to the bit depth of the input image data, wherein the selecting includes:\n setting the data precision of the transform matrices to a first offset number of bits less than the bit depth of the input image data; and \n setting the maximum dynamic range of the transformed data to a second offset number of bits greater than the bit depth of the input image data.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 97.0
- Lexical Diversity: 1.82051
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14778445', '14779502', '14355143', '15034070', '14396979']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4304484297009685
- 35 USC 102 Novelty (BERT): 0.5034039618419264
- Combined Prediction Score: 0.4377439829150643
- Mean Citation Score: 222.865266
- Max Citation Score: 296.19858
- Similarity Product: 291.26522550282243

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