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公开(公告)号：US20190205362A1
公开(公告)日：2019-07-04
申请号：US15859152
申请日：2017-12-29
Applicant: Konica Minolta Laboratory U.S.A., Inc.
Inventor： Tim Prebble
CPC classification number: G06F17/211 , G06F17/2229 , G06F17/2241 , G06F17/2294 , G06K9/00463 , G06N20/00
Abstract: A method for processing an electronic document with characters includes adjusting the characters to identify lines and words; generating a cluster encompassing all of the lines and the words; setting the cluster as a target; determining whether the target can be divided; in response to determining that the target can be divided, dividing the target into a first plurality of sub-clusters; identifying blocks of text based on the first sub-clusters; and generating a new electronic document with paragraphs and sections based on the blocks of text.
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公开(公告)号：US10579707B2
公开(公告)日：2020-03-03
申请号：US15859152
申请日：2017-12-29
Applicant: Konica Minolta Laboratory U.S.A., Inc.
Inventor： Tim Prebble
Abstract: A method for processing an electronic document with characters includes adjusting the characters to identify lines and words; generating a cluster encompassing all of the lines and the words; setting the cluster as a target; determining whether the target can be divided; in response to determining that the target can be divided, dividing the target into a first plurality of sub-clusters; identifying blocks of text based on the first sub-clusters; and generating a new electronic document with paragraphs and sections based on the blocks of text.
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Patent Agency Ranking
公开(公告)号：US09934431B2
公开(公告)日：2018-04-03
申请号：US15221315
申请日：2016-07-27
Applicant: Konica Minolta Laboratory U.S.A., Inc.
Inventor： Tim Prebble
CPC classification number: G06K9/00456 , G06F17/30259 , G06K9/00449 , G06K9/00476 , G06K2209/01
Abstract: A method for image processing. The method includes: reading an image of a flowchart; identifying, within the image, a plurality of paths corresponding to the flowchart; classifying a first path of the plurality of paths as a flowchart element by: calculating, during a solo evaluation phase, a plurality of established likelihood scores for the first path based on a plurality of properties of the first path; calculating, during a neighbor-based evaluation phase, a first plurality of provisional likelihood scores for the first path based on the plurality of established likelihood scores for the first path and a plurality of established likelihood scores for a second path of the plurality of paths; and updating, during the neighbor-based evaluation phase, the plurality of established likelihood scores for the first path based on the first plurality of provisional likelihood scores; and generating a flowchart object based on the classified first path.
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公开(公告)号：US20200311412A1
公开(公告)日：2020-10-01
申请号：US16370110
申请日：2019-03-29
Applicant: Konica Minolta Laboratory U.S.A., Inc.
Inventor： Tim Prebble
Abstract: A method for processing an electronic document (ED) to infer titles and sections in the ED includes: applying visual analysis to the ED and identifying candidate titles and candidate sections of the ED; filtering the candidate titles based on the candidate sections; filtering the candidate sections based on the filtered candidate titles; applying semantic analysis to the ED and identifying topics and portions of the ED; refining, based on the identified topics and the portions, the filtered candidate titles and the filtered candidate sections; and generating a marked-up version of the ED that identifies the refined candidate titles and the refined candidate sections.
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公开(公告)号：US20180032806A1
公开(公告)日：2018-02-01
申请号：US15221315
申请日：2016-07-27
Applicant: Konica Minolta Laboratory U.S.A., Inc.
Inventor： Tim Prebble
IPC: G06K9/00
CPC classification number: G06K9/00456 , G06F17/30259 , G06K9/00449 , G06K9/00476 , G06K2209/01
Abstract: A method for image processing& The method includes: reading an image of a flowchart; identifying, within the image, a plurality of paths corresponding to the flowchart; classifying a first path of the plurality of paths as a flowchart element by: calculating, during a solo evaluation phase, a plurality of established likelihood scores for the first path based on a plurality of properties of the first path; calculating, during a neighbor-based evaluation phase, a first plurality of provisional likelihood scores for the first path based on the plurality of established likelihood scores for the first path and a plurality of established likelihood scores for a second path of the plurality of paths; and updating, during the neighbor-based evaluation phase, the plurality of established likelihood scores for the first path based on the first plurality of provisional likelihood scores; and generating a flowchart object based on the classified first path.
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公开(公告)号：US09977956B2
公开(公告)日：2018-05-22
申请号：US15223449
申请日：2016-07-29
Applicant: Konica Minolta Laboratory U.S.A., Inc.
Inventor： Tim Prebble
CPC classification number: G06K9/00456 , G06K9/00449 , G06K9/00463 , G06K9/00476
Abstract: A method for image processing. The method includes: reading an image of a flowchart; identifying, within the image, a plurality of paths corresponding to the flowchart; grouping the plurality of paths into a plurality of groups including a first group and a second group; calculating a plurality of likelihood scores corresponding to flowchart elements for each of the plurality of groups; identifying a first path belonging to the first group and the second group; and selecting the first group as the primary group for the first path based on a maximum likelihood score for the first group and a maximum likelihood score for the second group; and generating a flowchart object based on the primary group for the first path.
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公开(公告)号：US20180032807A1
公开(公告)日：2018-02-01
申请号：US15223449
申请日：2016-07-29
Applicant: Konica Minolta Laboratory U.S.A., Inc.
Inventor： Tim Prebble
IPC: G06K9/00
CPC classification number: G06K9/00456 , G06K9/00449 , G06K9/00463 , G06K9/00476
Abstract: A method for image processing. The method includes: reading an image of a flowchart; identifying, within the image, a plurality of paths corresponding to the flowchart; grouping the plurality of paths into a plurality of groups including a first group and a second group; calculating a plurality of likelihood scores corresponding to flowchart elements for each of the plurality of groups; identifying a first path belonging to the first group and the second group; and selecting the first group as the primary group for the first path based on a maximum likelihood score for the first group and a maximum likelihood score for the second group; and generating a flowchart object based on the primary group for the first path.
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