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公开(公告)号：US10423367B1
公开(公告)日：2019-09-24
申请号：US15926215
申请日：2018-03-20
Applicant: Konica Minolta Laboratory U.S.A., Inc.
Inventor： Kazuto Yamamoto , Ryoichi Yokoohji
IPC: G06F3/12
Abstract: Print shop operations may be visualized graphically to show relationships between a stream of incoming print jobs and a group of available print production devices, such as printing and finishing machines. A visualization process is performed with microservices to generate UI device panes, which form elements of a graphic user interface from which print shop operation can be monitored or controlled. Each microservice corresponds a different one of the print production devices. This can allow for rapid adjustments and customization of the UI, as may be needed due to user feedback, change in user requirements, and introduction of new print production devices to the print shop. Information may be added to the graphic user interface in combination with the UI device panes to facilitate assignment of print jobs to particular print production devices and/or to show which devices can be used sequentially or in parallel to complete the print jobs.
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公开(公告)号：US10410386B2
公开(公告)日：2019-09-10
申请号：US15706072
申请日：2017-09-15
Applicant: Konica Minolta Laboratory U.S.A., Inc.
Inventor： Darrell Eugene Bellert
Abstract: A method for processing an image that includes a table is provided. The method includes: obtaining a set of edges associated with a cell candidate of the table; determining a longest edge in the set of edges and a first orientation of the longest edge; determining, in the set of edges, an initial edge for a first cell border comprising the first orientation and the longest edge; building the first cell border based on the initial edge, the first orientation, and the set of edges; calculating a second orientation for a second cell border by rotating the first orientation; building the second cell border based on an initial edge for the second cell border and the second orientation; and validating the cell candidate as a cell of the table in response to building the first cell border and building the second cell border.
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公开(公告)号：US10409919B2
公开(公告)日：2019-09-10
申请号：US14867749
申请日：2015-09-28
Applicant: Konica Minolta Laboratory U.S.A., Inc.
Inventor： Howard Rubin , Isao Hayami
Abstract: A display method includes reading from a memory a language setting representing an original language and a first target language; detecting a first set of one or more characters input in the original language; recognizing the first set of one or more characters as first text; translating the first text from the original language to the first target language; displaying the translated first text on one or more display areas; translating the translated first text back to the original language; and displaying the first text translated back to the original language on the one or more display areas.
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公开(公告)号：US20190251163A1
公开(公告)日：2019-08-15
申请号：US15897911
申请日：2018-02-15
Applicant: Konica Minolta Laboratory U.S.A., Inc.
Inventor： Darrell Eugene Bellert
Abstract: A method for processing an electronic document (ED) to infer titles in the ED is provided. The method includes: generating a mark-up version of the ED comprising text-styling attributes, text-layout attributes, and text content information of characters included in the ED; generating statistical information of the text-styling and text-layout attributes; calculating, for each text-styling and text-layout attribute, a relative weight score; calculating, for each paragraph in the ED: a styling criteria score and a layout criteria score based on the statistical information and the relative weight scores; a text content score based on the text content information; and a title confidence score based on the styling criteria score, the layout criteria score, and the text content score; and generating a metadata for the ED that includes the title confidence score for each paragraph for use in inferring the titles in the ED.
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公开(公告)号：US10366051B2
公开(公告)日：2019-07-30
申请号：US15360327
申请日：2016-11-23
Applicant: Konica Minolta Laboratory U.S.A., Inc.
Inventor： Kirk Steven Tecu
IPC: G06F16/00 , G06F16/11 , G06F16/14 , G06F16/84 , G06F16/248 , G06F16/638
Abstract: A method for file conversion includes obtaining an original file including content, that includes objects. The method further includes rendering each object of the multiple objects into a page description language (PDL) format to obtain rendered objects, and extracting, from the original file, a tag for an object of the multiple objects. The method further includes generating object composition metadata based on a composition rule corresponding to the tag. The object composition metadata includes a description of a composition of the object in the original file, and is added with the rendered objects to a PDL file.
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Patent Agency Ranking
26.发明申请公开(公告)号：US20190228268A1
公开(公告)日：2019-07-25
申请号：US16315560
申请日：2017-08-09
Applicant: KONICA MINOLTA LABORATORY U.S.A., INC.
Inventor： Yongmian ZHANG , Jingwen ZHU
Abstract: An artificial neural network system for image classification, including multiple independent individual convolutional neural networks (CNNs) connected in multiple stages, each CNN configured to process an input image to calculate a pixelwise classification. The output of an earlier stage CNN, which is a class score image having identical height and width as its input image and a depth of N representing the probabilities of each pixel of the input image belonging to each of N classes, is input into the next stage CNN as input image. When training the network system, the first stage CNN is trained using first training images and corresponding label data; then second training images are forward propagated by the trained first stage CNN to generate corresponding class score images, which are used along with label data corresponding to the second training images to train the second stage CNN.
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公开(公告)号：US10338863B1
公开(公告)日：2019-07-02
申请号：US15858057
申请日：2017-12-29
Applicant: Konica Minolta Laboratory U.S.A., Inc.
Inventor： Eddie Wang , Kazuto Yamamoto
CPC classification number: G06F3/1219 , G06F3/1259 , H04N1/6041
Abstract: An image forming apparatus, a method and a computer readable medium for color verification of an image forming apparatus are disclosed. The image forming apparatus includes a sensing device configured to read a color chart; and a processor configured to: perform a first color verification job; perform a second color verification job after the first color verification job when the first color verification job is interrupted, the second color verification job including one or more color patches from a previous color verification job; acquire measurement data from the previous color verification job; acquire measurement data from the second color verification job; and determine whether to re-use the measurement data of the previous color verification job based on one or more differences between the measurement data of the previous color verification job and the measurement data of the second color verification job.
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公开(公告)号：US10318889B2
公开(公告)日：2019-06-11
申请号：US15633288
申请日：2017-06-26
Applicant: KONICA MINOLTA LABORATORY U.S.A., INC.
Inventor： Ting Xu
Abstract: A method for training a deep neural network (DNN) to perform a specified task with respect to images captured by a target camera, including: using an image captured by the target camera as a style target image, training a style transformer network to perform a style transformation that transforms any photorealistic input image into a transformed image that has contents of the input image, maintains photorealistic quality of the input image, and has a style that matches a style of the style target image; using the trained style transformer network to transform training image of an original training dataset into transformed training images; labeling the transformed training images with the training labels of the corresponding training image of the original training dataset, to form an augmented training dataset; and using the augmented training dataset to train the DNN to perform the specified task.
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公开(公告)号：US20190163971A1
公开(公告)日：2019-05-30
申请号：US15828110
申请日：2017-11-30
Applicant: KONICA MINOLTA LABORATORY U.S.A., INC.
Inventor： Shubham Agarwal , Yongmian Zhang
Abstract: In a text line segmentation process, connected components (CCs) in document image are categorized into three subsets (normal, large, small) based on their sizes. The centroids of the normal size CCs are used to perform line detection using Hough transform. Among the detected candidate lines, those with line bounding box heights greater than a certain height are removed. For each normal size CC, if its bounding box does not overlap the bounting box of any line with an overlap area greater than a predefined fraction of the CC bounding box, a new line is added for this CC, which passes through the centroid of the CC and has an average slant angle. Each large size CCs are broken into two or more CCs. All CCs are then assigned to the nearest lines. A refinement method is also described, which can take any text line segmentation result and refine it.
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30.发明授权公开(公告)号：US10282589B2
公开(公告)日：2019-05-07
申请号：US15690037
申请日：2017-08-29
Applicant: KONICA MINOLTA LABORATORY U.S.A., INC.
Inventor： Maral Mesmakhosroshahi , Shubham Agarwal , Yongmian Zhang
Abstract: An artificial neural network system implemented on a computer for cell segmentation and classification of biological images. It includes a deep convolutional neural network as a feature extraction network, a first branch network connected to the feature extraction network to perform cell segmentation, and a second branch network connected to the feature extraction network to perform cell classification using the cell segmentation map generated by the first branch network. The feature extraction network is a modified VGG network where each convolutional layer uses multiple kernels of different sizes. The second branch network takes feature maps from two levels of the feature extraction network, and has multiple fully connected layers to independently process multiple cropped patches of the feature maps, the cropped patches being located at a centered and multiple shifted positions relative to the cell being classified; a voting method is used to determine the final cell classification.
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