COMPRESSION OF BI-LEVEL IMAGES WITH EXPLICIT REPRESENTATION OF INK CLUSTERS

Patent №

US 7,317,838

Granted

2008-01-08

Filed 2007

Owner

MICROSOFT CORPORATION

AI components

2

nlp · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11734299

A system and method facilitating compression of bi-level images with explicit representation of ink clusters is provided. The present invention includes a cluster shape estimator that analyzes connected component information, extracts clusters and stores the cluster in a global dictionary, a page dictionary or a store of unclustered shapes. A bitmap estimation from clusters component determines dictionary positions for clusters stored in the global dictionary which are then encoded. A cluster position estimator determines page positions of clusters of the global dictionary and/or the page dictionary that are then encoded. Further, the global dictionary, the page dictionary and the store of unclustered shapes are also encoded.

Natural languageAI hardwareG06T 9/001G06V 10/751H04N 1/4115H04N 19/97

AI classification

Natural language0.99
AI hardware0.84
Knowledge representation0.37
Planning0.26
Vision0.18
Machine learning0.00
Evolutionary computation0.00
Speech0.00

Ownership

MICROSOFT CORPORATION

assignment · 191510043

Assignors

RENSHAW, ERIN L., SIMARD, PATRICE Y., MALVAR, HENRIQUE S.

On an employer assignment, the assignors are typically the inventors.

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