PATENT CLAIM ANALYSIS

Application Number: 16058204
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["375", "240240"]

Abstract:
An image coding method for coding image data on a block-by-block basis includes: segmenting a block including coefficients of frequency components, into groups corresponding to frequency ranges based on types of the coefficients, and determining a context corresponding to each of the groups; performing, for each of the coefficients, binary arithmetic coding on the coefficient according to a probability information item corresponding to the context, the context being corresponding to the group having the coefficient; and updating, for each of probability information items, the probability information item corresponding to the context, based on the coefficient included in the group corresponding to the context, wherein in the segmenting, the block is segmented into the groups with various numbers of coefficients.

Claim (Index 3):
An image coding apparatus which codes an image data on a block-by-block basis, the image coding apparatus comprising:\n a context determination unit configured to:\n segment a block including coefficients of frequency components, into a first plurality of groups, a second plurality of groups, and a third plurality of groups based on types of the coefficients, wherein each of the groups in the first plurality of groups, each of the groups in the second plurality of groups, and each of the groups in the third plurality of groups corresponds to a different frequency component range; and \n determine a context corresponding to each of the groups in the first plurality of groups to generate a first set of mapping information, determine a context corresponding to each of the groups in the second plurality of groups to generate a second set of mapping information, and determine a context corresponding to each of the groups in the third plurality of groups to generate a third set of mapping information, wherein the first set of mapping information indicates a correspondence between each of the groups in the first plurality of groups and a corresponding context, the second set of mapping information indicates a correspondence between each of the groups in the second plurality of groups and a corresponding context, and the third set of mapping information indicates a correspondence between each of the groups in the third plurality of groups and a corresponding context; \n a binary arithmetic coding unit configured to perform, for each of the coefficients, binary arithmetic coding on the coefficient according to a probability information item corresponding to a context which corresponds to one of (i) the first set of mapping information, (ii) the second set of mapping information, or (iii) the third set of mapping information; and an updating unit configured to update, for each of probability information items, the probability information item corresponding to the context, based on the coefficient included in the group corresponding to the context, wherein the context determination unit is configured to segment the block into the first plurality of groups, the second plurality of groups, and the third plurality of groups such that the number of the groups in each of the first plurality of groups, the second plurality of groups, and the third plurality of groups is respectively different.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 96.0
- Lexical Diversity: 2.41818
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13976637', '13348075', '14271930', '14951893', '13348041']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4748855375588088
- 35 USC 102 Novelty (BERT): 0.5643506955566003
- Combined Prediction Score: 0.483832053358588
- Mean Citation Score: 335.38173599999993
- Max Citation Score: 435.541
- Similarity Product: 379.6684315956832

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