Image Segmentation Using Color Patents (Class 382/164)
  • Patent number: 11561092
    Abstract: A method for measuring an antenna downtilt angle based on a multi-scale deep semantic segmentation network is disclosed, including: collecting base station antenna data by using an unmanned aerial vehicle, and labeling an acquired antenna image with a labeling tool to make a data set; calling the data set for training and debugging a model; recognizing and detecting a target antenna, performing semantic segmentation on an output image, finally obtaining a target image finally segmented, and calculating a downtilt angle of the target image. The method is highly applicable, cost-effective, and safe.
    Type: Grant
    Filed: March 1, 2019
    Date of Patent: January 24, 2023
    Assignee: WUYI UNIVERSITY
    Inventors: Yikui Zhai, Jihua Zhou, Yueting Wu, Yu Zheng, Ying Xu, Junying Gan, Junying Zeng, Wenbo Deng, Qirui Ke
  • Patent number: 11562490
    Abstract: Systems and methods for generating object segmentations across videos are provided. An example system can enable an annotator to identify objects within a first image frame of a video sequence by clicking anywhere within the object. The system processes the first image frame and a second, subsequent, image frame to assign each pixel of the second image frame to one of the objects identified in the first image frame or the background. The system refines the resulting object masks for the second image frame using a recurrent attention module based on contextual features extracted from the second image frame. The system receives additional user input for the second image frame and uses the input, in combination with the object masks for the second image frame, to determine object masks for a third, subsequent, image frame in the video sequence. The process is repeated for each image in the video sequence.
    Type: Grant
    Filed: November 17, 2021
    Date of Patent: January 24, 2023
    Assignee: UATC, LLC
    Inventors: Namdar Homayounfar, Wei-Chiu Ma, Raquel Urtasun
  • Patent number: 11559044
    Abstract: A method of tracking an animal in a population of animals is disclosed that includes applying a visual identifier to the animal, associating reference identifier data of the visual identifier to animal data of the animal, capturing a digital image of the visual identifier applied to the animal, recognizing the visual identifier by digitally processing the captured digital image, and identifying the animal upon recognition of the visual identifier.
    Type: Grant
    Filed: April 25, 2019
    Date of Patent: January 24, 2023
    Assignee: HOFFMANN-LA ROCHE INC.
    Inventors: Przemek Idziaszek, Antoni Opolski, Jacek Ziemski, Bartosz Binias
  • Patent number: 11551378
    Abstract: The computer stores the plurality of first positions in the image captured by the image pickup device and the second positions corresponding to the plurality of first positions in the graphic corresponding to the image as a relationship. The computer acquires a third position related to the object in the image, a positional relationship between a part of the plurality of first positions and the third position, and one of the relationships. A method specifies a position in a figure corresponding to a position in an image including generating a fourth position in the figure corresponding to the third position using parts or all. In a method, a part of the plurality of first positions is three first positions closest to the third position among the plurality of first positions. A method includes generating the fourth position using the sides of a triangle composed of the three first positions.
    Type: Grant
    Filed: December 27, 2018
    Date of Patent: January 10, 2023
    Assignee: NEURAL POCKET INC.
    Inventors: Alex Edward Daniels, Yuichi Sasaki, Taichi Koido, Roi Shigematsu
  • Patent number: 11527023
    Abstract: Methods and systems disclosed herein relate generally to systems and methods for modifying pixel values of an image to improve the visibility of target pixel patterns. A pixel-simulation application accesses an initial image including an initial set of pixel values. The initial set of pixel values define, in an initial color space, a particular color of pixels that indicate a target pixel pattern. The pixel-simulation application generates, based on the initial set of pixel values, a simulated image including a modified set of pixel values that visually indicate another color of pixels in an intermediate color space. The pixel-simulation application generates a pixel map by identifying a difference between the initial set pixel values of the initial image and the modified set of pixel values of simulated image. The pixel-simulation application generates, for display, an output image based at least in part on the pixel map.
    Type: Grant
    Filed: August 24, 2021
    Date of Patent: December 13, 2022
    Assignee: Adobe Inc.
    Inventors: Michele Saad, Lauren Dest
  • Patent number: 11521028
    Abstract: One or more embodiments of the disclosure include systems and methods that use meta-learning to learn how to optimally find a new neural network architecture for a task using past architectures that were optimized for other tasks, including for example tasks associated with autonomous, semi-autonomous, assisted, or other driving applications. A computer implemented method of the disclosure includes configuring a search space lattice comprising nodes representing operator choices, edges, and a maximum depth. The method includes defining an objective function. The method further includes configuring a graph network over the search space lattice to predict edge weights over the search space lattice.
    Type: Grant
    Filed: April 10, 2020
    Date of Patent: December 6, 2022
    Assignee: TOYOTA RESEARCH INSTITUTE, INC.
    Inventor: Adrien David Gaidon
  • Patent number: 11521423
    Abstract: Occlusion of facial features may be detected and assessed in an image captured by a camera on a device. Landmark heat maps may be used to estimate the location of landmarks such as the eyes, mouth, and nose of a user's face in the captured image. An occlusion heat map may also be generated for the captured image. The occlusion heat map may include values representing the amount of occlusion in regions of the face. The estimated locations of the eyes, mouth, and nose may be used in combination with the occlusion heat map to assess occlusion scores for the landmarks. The occlusion scores for the landmarks may be used control one or more operations of the device.
    Type: Grant
    Filed: January 15, 2021
    Date of Patent: December 6, 2022
    Assignee: Apple Inc.
    Inventors: Thorsten Gernoth, Ian R. Fasel, Touraj Tajbakhsh, Jia-Chi Wu
  • Patent number: 11501525
    Abstract: Systems and methods for panoptic image segmentation are disclosed herein. One embodiment performs semantic segmentation and object detection on an input image, wherein the object detection generates a plurality of bounding boxes associated with an object in the input image; selects a query bounding box from among the plurality of bounding boxes; maps at least one of the bounding boxes in the plurality of bounding boxes other than the query bounding box to the query bounding box based on similarity between the at least one of the bounding boxes and the query bounding box to generate a mask assignment for the object, the mask assignment defining a contour of the object; compares the mask assignment with results of the semantic segmentation to produce a refined mask assignment for the object; and outputs a panoptic segmentation of the input image that includes the refined mask assignment for the object.
    Type: Grant
    Filed: April 8, 2020
    Date of Patent: November 15, 2022
    Assignee: Toyota Research Institute, Inc.
    Inventors: Rui Hou, Jie Li, Vitor Guizilini, Adrien David Gaidon, Dennis Park, Arjun Bhargava
  • Patent number: 11481576
    Abstract: A method for processing an image is presented. The method locates a subject and an object of a subject-object interaction in the image. The method determines relative weights of the subject, the object, and a context region for classification. The method further classifies the subject-object interaction based on a classification of a weighted representation of the subject, a weighted representation of the object, and a weighted representation of the context region.
    Type: Grant
    Filed: March 23, 2020
    Date of Patent: October 25, 2022
    Assignee: Qualcomm Technologies, Inc.
    Inventors: Mert Kilickaya, Efstratios Gavves, Arnold Wilhelmus Maria Smeulders
  • Patent number: 11477351
    Abstract: Banding effects in an image or video are assessed. The image or each frame of a video is decomposed into luminance or color channels. Signal activity is computed at each spatial location in each channel. A significance of the signal activity at each spatial location is determined by comparing each element of the signal activity with a significance threshold. Banding pixels are detected as those pixels of the image or frame having significant signal activity at their respective spatial locations and having non-significant signal activity of at least a minimum threshold percentage of neighboring pixels to the respective spatial locations.
    Type: Grant
    Filed: April 8, 2021
    Date of Patent: October 18, 2022
    Assignee: SSIMWAVE, Inc.
    Inventors: Zhou Wang, Hojatollah Yeganeh, Ahmed Badr, Kai Zeng
  • Patent number: 11441946
    Abstract: A processing apparatus combines a plurality of images based on a plurality of object images formed on an imaging plane of an image sensor by a plurality of lens units and to generate a combined image, and includes at least one processor or circuit that serves as an acquisition task configured to acquire information on a center position of each of the plurality of object images on the imaging plane, information on a correspondence relationship between the center position and positions of the plurality of images in the combined image, and conversion information for converting a first coordinate system in the imaging plane into a second coordinate system in the combined image, the conversion information being generated based on a correction function for correcting the plurality of object images, and a processing task configured to generate the combined image using the conversion information.
    Type: Grant
    Filed: May 14, 2021
    Date of Patent: September 13, 2022
    Assignee: CANON KABUSHIKI KAISHA
    Inventor: Tsubasa Nakamura
  • Patent number: 11443436
    Abstract: The present disclosure provides an interactive image matting method, a computer readable memory medium, and a computer device. The interactive image matting method includes steps: obtaining an original image; collecting foreground sample points on a hair edge foreground region of the original image and collecting background sample points on a hair edge background region of the original image by a human-computer interaction method to correspondingly obtain a foreground sample space and a background sample space; receiving a marking operation instruction input by a user, and smearing a hair region of the original image according to the marking operation instruction to mark unknown regions; traversing the unknown regions to obtain a pixel of each unknown region, traversing all the sample pairs to select a sample pair with a minimum overall cost function value for the pixel of each unknown region.
    Type: Grant
    Filed: July 15, 2020
    Date of Patent: September 13, 2022
    Assignee: GAODING (XIAMEN) TECHNOLOGY CO. LTD
    Inventors: Zhijie Liu, Jiexing Lin, Baokun Zhang, Limin Zhang
  • Patent number: 11423548
    Abstract: A method, system and computer program product for segmenting generic foreground objects in images and videos. For segmenting generic foreground objects in videos, an appearance stream of an image in a video frame is processed using a first deep neural network. Furthermore, a motion stream of an optical flow image in the video frame is processed using a second deep neural network. The appearance and motion streams are then joined to combine complementary appearance and motion information to perform segmentation of generic objects in the video frame. Generic foreground objects are segmented in images by training a convolutional deep neural network to estimate a likelihood that a pixel in an image belongs to a foreground object. After receiving the image, the likelihood that the pixel in the image is part of the foreground object as opposed to background is then determined using the trained convolutional deep neural network.
    Type: Grant
    Filed: December 5, 2017
    Date of Patent: August 23, 2022
    Assignee: Board of Regents, The University of Texas System
    Inventors: Kristen Grauman, Suyog Dutt Jain, Bo Xiong
  • Patent number: 11417024
    Abstract: A system and method for encoding a digital image may include obtaining image data of the digital image, wherein the image data comprises a plurality of image pixels, selecting a plurality of sample pixels from the plurality of image pixels, clustering the plurality of sample pixels based on an influence function to generate a plurality of hue clusters, classifying the image pixels to the plurality of the hue clusters, and assigning hue values of the hue clusters to the plurality of the image pixels.
    Type: Grant
    Filed: January 12, 2022
    Date of Patent: August 16, 2022
    Assignee: MOMENTICK LTD.
    Inventors: Ophir Almog, Lev Oren, Daniel Kashmir
  • Patent number: 11410346
    Abstract: Embodiments are disclosed for identify a proportional dominant color palette of a vector graphics content and recolor the vector graphics content by editing the proportional dominant color palette. In particular, one method comprises obtaining a vector graphic, determining, by a palette extraction manager, a plurality of colors from the vector graphic, grouping, by the palette extraction manager, the plurality of colors into a plurality of groups based on color characteristics, determining, by the palette extraction manager, a plurality of dominant colors corresponding to the plurality of groups based on a subset of the plurality of colors associated with each group, determining, by the palette extraction manager, a plurality of weights corresponding to the plurality of colors, and generating, by the palette extraction manager, a proportional dominant color palette for the vector graphic based on the plurality of dominant colors and the corresponding plurality of weights.
    Type: Grant
    Filed: January 28, 2021
    Date of Patent: August 9, 2022
    Assignee: Adobe Inc.
    Inventors: Ankita Saha, Nitesh Dodeja, Rakesh Baidya, Rajeev Kumar
  • Patent number: 11403835
    Abstract: A method and a device for processing feature points of an image are provided. A specific embodiment of the method includes obtaining an image to be processed; determining weights of the feature points of the image to be processed to obtain a weight set; and according to the weights, selecting target numbered feature points as target feature points of the image to be processed. The weights include a texture weight; the texture weight and a color change scope of pixels in a target sized image region in which the feature points locate are directly proportional. The embodiment can reduce the number of feature points of the image, and further release the storage pressure of feature points regarding the image.
    Type: Grant
    Filed: December 10, 2018
    Date of Patent: August 2, 2022
    Assignee: BEIJING BYTEDANCE NETWORK TECHNOLOGY CO., LTD.
    Inventors: Cheng Yang, Yi He, Lei Li
  • Patent number: 11397977
    Abstract: Integrating an image capturing mechanism into an ecommerce application is described. Images of items offered for sale via ecommerce channels associated with an ecommerce service provider and performance metrics associated with the images and/or content items with which the images are presented via the ecommerce channels can be analyzed. Based partly on the analyzing, a characteristic associated with the images that are associated with a performance metric that satisfies a threshold or that are presented by the content items that are associated with the performance metric that satisfies the threshold can be determined. A new image of an item to be offered for sale by a merchant via an ecommerce channel can be received and, based at least partly on the characteristic, it can be determined whether to integrate the new image into a content item for the merchant, wherein the content item to be presented via the ecommerce channel.
    Type: Grant
    Filed: June 26, 2019
    Date of Patent: July 26, 2022
    Assignee: Block, Inc.
    Inventors: Katherine Swett, Bo Han, Drew Richards, John O'Brien-Carelli
  • Patent number: 11386609
    Abstract: An approach using 3D algorithms to solve 2D head localization problems is disclosed. A system can extrapolate aspects of one part of an object, e.g., extract characteristics of a person's head, using a 2D input image of another part of the object, e.g., a 2D image of the person's face. The system then selects an appropriate 3D model by the use of facial features detected in an image of a person's face. Using the selected 3D model and the 3D rotation angles provided by a face detector, the system rotates the model and then projects the model to a 2D shape. The system then scales and translates, e.g., transforms, the 2D shape to match the 2D face bounding box. Then, using the transformed 2D shape, the system extracts a bounding box for the extracted portion of an object, e.g., the head of the person depicted in the 2D input image.
    Type: Grant
    Filed: December 30, 2020
    Date of Patent: July 12, 2022
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Mattan Serry, Zvi Figov, Irit Ofer
  • Patent number: 11386281
    Abstract: Signal detection and recognition employees coordinated illumination and capture of images under to facilitate extraction of a signal of interest. Pulsed illumination of different colors facilitates extraction of signals from color channels, as well as improved signal to noise ratio by combining signals of different color channels. The successive pulsing of different color illumination appears white to the user, yet facilitates signal detection, even for lower cost monochrome sensors, as in barcode scanning and other automatic identification equipment.
    Type: Grant
    Filed: July 13, 2020
    Date of Patent: July 12, 2022
    Assignee: Digimarc Corporation
    Inventors: Jacob L. Boles, Alastair M. Reed, John D. Lord
  • Patent number: 11379985
    Abstract: A computer-implemented method for segmenting an input image, the method comprises: generating a first segmentation of the input image using a first machine learning system, the first segmentation comprising multiple segments; receiving, from a user, at least one indication, wherein each indication corresponds to a particular segment from the multiple segments, and indicates one or more locations of the input image as belonging to that particular segment; constructing, for each segment of the multiple segments having at least one corresponding indication, a respective geodesic distance map, based on the input image and the user indications received for that segment; and generating a second segmentation using a second machine learning system based on the input image and the constructed geodesic distance maps.
    Type: Grant
    Filed: June 14, 2018
    Date of Patent: July 5, 2022
    Assignee: King's College London
    Inventors: Guotai Wang, Tom Vercauteren, Sebastien Ourselin, Wenqi Li, Lucas Fidon
  • Patent number: 11379992
    Abstract: Systems and methods for frame and scene segmentation are disclosed herein. One method includes associating a first primary element from a first frame with a background tag, associating a second primary element from the first frame with a subject tag, generating a background texture using the first primary element, generating a foreground texture using the second primary element, and combining the background texture and the foreground texture into a synthesized frame. The method also includes training a segmentation network using the background tag, the foreground tag, and the synthesized frame.
    Type: Grant
    Filed: May 14, 2019
    Date of Patent: July 5, 2022
    Assignee: Matterport, Inc.
    Inventors: Gary Bradski, Prasanna Krishnasamy, Mona Fathollahi, Michael Tetelman
  • Patent number: 11361333
    Abstract: A system and method for decentralizing data and determining performance of different entities in multiple geographical and categorial markets whereby the system may determine complimentary entities to a user's entities or other existing entities for presentation to the user of overlapping procurements and demographics to gather a deeper understanding into the same results yielded by their competition whereby users will be able to provide more personal experiences for each consumer, as well as achieve pricing discovery, greater brand awareness, and marketing strategy.
    Type: Grant
    Filed: August 30, 2021
    Date of Patent: June 14, 2022
    Assignee: CONTENT AWARE, LLC
    Inventor: Cameron A. Holmes
  • Patent number: 11341759
    Abstract: A device may receive a target document. The device may segment the target document into multiple segments. The device may determine, for each segment of the multiple segments, a set of color parameters for a corresponding set of pixels included in that segment. The device may determine, for each segment of the multiple segments, an average color parameter for that segment based on the set of color parameters for the corresponding set of pixels included in that segment. The device may generate a target color profile for the target document based on determining the average color parameter for each segment. The device may compare the target color profile and a model color profile associated with classifying the target document. The device may classify the target document based on comparing the target color profile and the model color profile.
    Type: Grant
    Filed: March 31, 2020
    Date of Patent: May 24, 2022
    Assignee: Capital One Services, LLC
    Inventor: Thomas Sickert
  • Patent number: 11334086
    Abstract: Autonomous robots and methods of operating the same are disclosed. An autonomous robot includes a sensor and memory including machine readable instructions. The autonomous robot further includes at least one processor to execute the instructions to generate a velocity costmap associated with an environment in which the robot is located. The processor generates the velocity costmap based on a source image captured by the sensor. The velocity costmap includes velocity information indicative of movement of an obstacle detected in the environment.
    Type: Grant
    Filed: September 27, 2017
    Date of Patent: May 17, 2022
    Assignee: Intel Corporation
    Inventors: Bin Wang, Jianguo Li, Shoumeng Yan
  • Patent number: 11335081
    Abstract: A method for automatic extraction of data from a graph, including text area locating and text box classification; locating of coordinate axes, and locating of the positions of hatch marks on the coordinate axes; legend locating and information extraction; extracting corresponding bar or polyline connected components according to legend color, and filtering and classification; determining key points on the X-axis and locating a corresponding X-axis label for each key point; locating key points of the bars and polyline according to the X-axis key points, determining labeled numerical text boxes that correspond to the key points, and identifying the numerical text; calculating a corresponding value for each pixel, and estimating corresponding values of the key points of the bars or polyline; determining a final result according to a difference between the estimated values and the recognized labeled values.
    Type: Grant
    Filed: August 19, 2020
    Date of Patent: May 17, 2022
    Assignee: HANGZHOU DIANZI UNIVERSITY
    Inventors: Jinliang Yao, Yuelun Yu, Chuang Hu
  • Patent number: 11301719
    Abstract: A semantic segmentation model training method includes: performing, by a semantic segmentation model, image semantic segmentation on at least one unlabeled image to obtain a preliminary semantic segmentation result as the category of the unlabeled image; obtaining, by a convolutional neural network based on the category of the at least one unlabeled image and the category of at least one labeled image, sub-images respectively corresponding to the at least two images and features corresponding to the sub-images, where the at least two images comprise the at least one unlabeled image and the at least one labeled image, and the at least two sub-images carry the categories of the corresponding images; and training the semantic segmentation model on the basis of the categories of the at least two sub-images and feature distances between the at least two sub-images.
    Type: Grant
    Filed: December 25, 2019
    Date of Patent: April 12, 2022
    Assignee: BEIJING SENSETIME TECHNOLOGY DEVELOPMENT CO., LTD.
    Inventors: Xiaohang Zhan, Ziwei Liu, Ping Luo, Chen Change Loy, Xiaoou Tang
  • Patent number: 11282279
    Abstract: A system that enables real-time recognition of a real-space environment in a mixed-reality environment includes a server, a portable display device including a display unit for displaying a virtual object to a user and a photographing unit that photographs a real space, and image acquisition devices that acquire images individually from a plurality of fixed points where it is possible to photograph a region in a predetermined real space, the system making it possible to render the virtual object in a superimposed fashion on a real space or a photographed image of the real space, viewed by the user via the display unit, the server or the display device including a three-dimensional-space-data storage part, a table storage part, a color-information determining part, a color-information updating part, a user-environment determining part, a virtual-illumination-information generating part, and a rendering part.
    Type: Grant
    Filed: December 20, 2018
    Date of Patent: March 22, 2022
    Assignee: CYGAMES, INC.
    Inventor: Shuichi Kurabayashi
  • Patent number: 11238285
    Abstract: Image analysis includes obtaining, from an image signal processor, image processing information corresponding to a previously processed image, obtaining scene classification information for an input image based on the image processing information, generating a processed image by processing the input image based on the scene classification information, and outputting the processed image. The image processing information includes automatic white balance correction information and obtaining the scene classification information includes obtaining the scene classification information based on the automatic white balance correction information.
    Type: Grant
    Filed: April 5, 2021
    Date of Patent: February 1, 2022
    Assignee: GoPro, Inc.
    Inventors: Sylvain Leroy, Adrien Cariou, Miguel Marques, Julien Caron, Bruno Faure, Stéphane Belardi
  • Patent number: 11222194
    Abstract: Systems and methods disclosed herein describe a platform that automatically creates and executes a scoring guide for use in anatomical pathology. The platform can employ a fully-automated workflow for clustering the biological objects of interest and for providing cell-by-cell read-outs of heterogeneous tumor biomarkers based on their stain appearance. The platform can include a module for automatically creating and storing a scoring guide in a training database based on training digital images (240, 250), and an object classification module that executes the scoring guide when presented with new digital images to be scored pursuant to the scoring guide (299).
    Type: Grant
    Filed: December 20, 2017
    Date of Patent: January 11, 2022
    Assignee: VENTANA MEDICAL SYSTEMS, INC.
    Inventors: Michael Barnes, Joerg Bredno, Jim F. Martin
  • Patent number: 11200676
    Abstract: Systems and methods of improving alignment in dense prediction neural networks are disclosed. A method includes identifying, at a computing system, an input data set and a label data set with one or more first parts of the input data set corresponding to a label. The computing system processes the input data set using a neural network to generate a predicted label data set that identifies one or more second parts of the input data set predicted to correspond to the label. The computing system determines an alignment result using the predicted label data set and the label data set and a transformation of the one or more first parts, including a shift, rotation, scaling, and/or deformation, based on the alignment result. The computing system computes a loss score using the transformation, label data and the predicted label data set and updates the neural network based on the loss score.
    Type: Grant
    Filed: January 17, 2020
    Date of Patent: December 14, 2021
    Assignee: VERILY LIFE SCIENCES LLC
    Inventors: Cheng-Hsun Wu, Ali Behrooz
  • Patent number: 11184644
    Abstract: A weighed run-length encoding and decoding method and related devices and encoded bitstream. The encoded bitstream can comprise one or more of the following: a skip command packed into a nybble, the skip command indicating how many transparent pixels which are inserted into the bitstream, wherein there is up to a maximum number of transparent pixels; a solid command packed into a nybble, the solid command indicating how many solid pixels should be inserted into the decoded bitstream, wherein there are up to the maximum number of solid pixels; and a quote command packed into a nybble, the quote command indicating how many quoted pixels should be inserted into the decoded bitstream, wherein there are up to the maximum number of quoted pixels.
    Type: Grant
    Filed: June 25, 2019
    Date of Patent: November 23, 2021
    Assignee: Moddable, Inc.
    Inventor: J. Peter Hoddie
  • Patent number: 11176715
    Abstract: There is provided a system and method for color representation generation. In an aspect, the method includes: receiving three base colors; receiving a patchwork parameter; and generating a color representation having each of the three base colors at a vertex of a triangular face, the triangular face having a color distribution therein, the color distribution discretized into discrete portions, the amount of discretization based on the patchwork parameter, each discrete portion having an interpolated color determined to be a combination of the base colors at respective coordinates of such discrete portion. In further aspects, one or more color representations are generated based on an input image and can be used to modify colors of a reconstructed image.
    Type: Grant
    Filed: November 24, 2020
    Date of Patent: November 16, 2021
    Assignee: THE GOVERNING COUNCIL OF THE UNIVERSITY OF TORONTO
    Inventors: Maria Shugrina, Amlan Kar, Sanja Fidler, Karan Singh
  • Patent number: 11176402
    Abstract: Provided are an artificial intelligence (AI) system for simulating functions such as recognition, determination, and so forth of the human brain by using a mechanical learning algorithm like deep learning, or the like, and an application thereof.
    Type: Grant
    Filed: May 8, 2018
    Date of Patent: November 16, 2021
    Inventors: Deok-ho Kim, Won-woo Lee, Jae-woong Lee, Bong-hoon Park, Gun-Ill Lee, Ji-won Jeong, Teresa Ka Ki Ng
  • Patent number: 11172096
    Abstract: An image processing apparatus includes a detection unit, a determination unit, a decision unit, and a processing unit. The detection unit detects an isolated pixel included in an image. The determination unit determines whether the isolated pixel detected by the detection unit changes brighter or darker by edge enhancement processing. The decision unit decides an edge enhancement amount of the isolated pixel based on a determination result of the determination unit. The processing unit performs the edge enhancement processing on the isolated pixel, based on the edge enhancement amount decided by the decision unit.
    Type: Grant
    Filed: May 26, 2020
    Date of Patent: November 9, 2021
    Assignee: Canon Kabushiki Kaisha
    Inventor: Hirokazu Tamura
  • Patent number: 11169085
    Abstract: Non-transitory computer-readable media, spectroradiometer systems, and methods for calibrating a spectroradiometer. In one embodiment, a non-transitory computer-readable medium includes instructions that, when executed by an electronic processor, cause the electronic processor to perform a set of operations. The set of operations includes receiving spectral data regarding an object-of-interest that is captured by a handheld spectroradiometer, detecting a characteristic of the object-of-interest by performing a spectral analysis on the spectral data that is received, and controlling a display to display the characteristic of the object-of-interest.
    Type: Grant
    Filed: February 18, 2020
    Date of Patent: November 9, 2021
    Assignee: MICHIGAN TECHNOLOGICAL UNIVERSITY
    Inventors: Robert Shuchman, Michael Sayers, Reid Sawtell, Karl Bosse
  • Patent number: 11158091
    Abstract: The present disclosure includes systems and methods for color transfer. The method includes receiving a target image, and determining dominant source colors. The method further includes transforming the target image into a color model including a target luminance component and a target color information component. Additionally, the method includes segmenting the target image into a plurality of target segments based on the target color information component or the target luminance component and extracting dominant target colors from the target image by extracting information for at least one of the dominant target colors from each target segment of the plurality of target segments. Further, the method includes generating a color mapping relationship between the dominant target colors and the dominant source colors, and creating a recolored target image using the color mapping relationship.
    Type: Grant
    Filed: September 7, 2017
    Date of Patent: October 26, 2021
    Assignees: Trustees of Tufts College, THE BOARD OF REGENTS OF THE UNIVERSITY OF TEXAS SYSTEM
    Inventors: Karen Panetta, Long Bao, Sos Agaian
  • Patent number: 11151307
    Abstract: An annotation corresponding to a first range of text of a first document may be received. Based on the annotation, comparisons may be performed between a text string that comprises the first range of text and a group of text of a second document at different positions in the group of text. Based on the comparisons, similarity scores between the text string and the group of text may be determined at the different positions in the group of text. A position for the annotation in the group of text may be selected based on the similarity scores at the different positions. The annotation may be associated with a second range of text in the group of text that corresponds to the position.
    Type: Grant
    Filed: November 13, 2018
    Date of Patent: October 19, 2021
    Assignee: Adobe Inc.
    Inventors: Mudit Rastogi, Prakhar Mehrotra, Souvik Sinha Deb, Gaurav Tarlok Kakkar
  • Patent number: 11151374
    Abstract: A method of generating at least one digital signature for at least one surface of a material element, referred to as an “examined surface.” The method is performed by a data processor system, and may include, for each examined surface: obtaining an “offset” image having at least a portion showing the examined surface; obtaining at least one zone of interest in the offset image by putting into correspondence the offset image with at least one predetermined “equivalent” zone that is included in a model image having at least a portion representing a “reference” surface; obtaining a “registered” image by registering the offset image with the model image by applying a homography transformation to the offset image, wherein the transformation is obtained from the at least one zone of interest and the at least one equivalent zone; and generating the digital signature, which characterizes the structure of the examined surface, from the registered image.
    Type: Grant
    Filed: August 30, 2017
    Date of Patent: October 19, 2021
    Assignee: ARJO SOLUTIONS
    Inventors: Fanny Cugnet, Hubert Glasson, Hervé Guiot Du Doignon
  • Patent number: 11120606
    Abstract: An image processing method is disclosed, comprising: receiving a plurality of images of an object; and, for each image, determining a brightness value for each point on the object that is visible, and generating a tile grid for the image. Each point that is visible in an image corresponds to one tile in the tile grid. For each tile pair where at least one point is visible in both tiles of the tile pair, a brightness offset value is determined. For each image, an offset matrix is generated. Values of the offset matrix comprise brightness offsets to apply to each tile of a tile grid for the image to normalize the brightness of the image with the other images. A plurality of reconstructed images is generated based on performing, for each image, transformation operations on the given image based on the corresponding offset matrix to generate a reconstructed image.
    Type: Grant
    Filed: April 24, 2020
    Date of Patent: September 14, 2021
    Assignee: Electronic Arts Inc.
    Inventor: Mathieu Lamarre
  • Patent number: 11120297
    Abstract: An input image that includes a target area may be received. A first segment for extracting the target area from the input image may be generated using a first extracting model. A second segment for extracting the target area from the input image may be generated using a second extracting model. The first segment is compared to the second segment to determine a combined segment of at least the target area.
    Type: Grant
    Filed: November 30, 2018
    Date of Patent: September 14, 2021
    Assignee: International Business Machines Corporation
    Inventors: Koichi Takahashi, Hiroki Nakano, Masahiro Okawa
  • Patent number: 11113490
    Abstract: Evaluating a symbol on an object can include acquiring a first image of the object, including the symbol. A second image can be derived from the first image based upon determining a saturation threshold for the second image and possibly scaling of pixel values to a reduced bit-depth for the second image.
    Type: Grant
    Filed: August 24, 2020
    Date of Patent: September 7, 2021
    Assignee: Cognex Corporation
    Inventor: Glenn Spitz
  • Patent number: 11115597
    Abstract: The present disclosure provides a mobile terminal having a plurality of artificial intelligence (AI) agents. More particularly, a mobile terminal according to the present disclosure includes: a camera, a touch screen configured to display screen information, and a controller configured to activate the camera in response to a request of a user, and store an image received through the camera. The controller extracts a search keyword from a search command when the search command for searching image information is input via a first AI agent, retrieves at least one piece of image information corresponding to the search keyword from pre-stored image information through a second AI agent, and controls the touch screen such that a search result is displayed on an execution screen of the first AI agent.
    Type: Grant
    Filed: June 3, 2019
    Date of Patent: September 7, 2021
    Assignee: LG ELECTRONICS INC.
    Inventors: Jaeryong Kang, Mingyoung Kam, Jongseol Kim, Myoseop Sim, Hyunju Oh, Bomi Jang, Jaeki Cho, Dongki Cheon, Jahee Hur
  • Patent number: 11109065
    Abstract: Compressing a frame of video includes receiving a frame of a video, identifying a three dimensional (3D) object in the frame, matching the 3D object to a stored 3D object, compressing the frame of the video using a color prediction scheme based on the 3D object and the stored 3D object, and storing the compressed frame with metadata, the metadata identifying the 3D object, indicating a position of the 3D object in the frame of the video and indicating an orientation of the 3D object in the frame of the video.
    Type: Grant
    Filed: September 26, 2018
    Date of Patent: August 31, 2021
    Assignee: GOOGLE LLC
    Inventors: Michael Hemmer, Ameesh Makadia
  • Patent number: 11100655
    Abstract: An image processing apparatus includes a detection unit configured to detect a first region in which a foreground object is present with respect to a plurality of captured images, a retention unit configured to retain a first background image, a generation unit configured to generate a second background image based on portions of each of the plurality of captured images which are not detected as a first region, and an output unit configured to select one of the first background image and the second background image based on a property of the second background image, and configured to output, based on the selected background image and the first region, an image in which the foreground object is obscured.
    Type: Grant
    Filed: January 29, 2019
    Date of Patent: August 24, 2021
    Assignee: Canon Kabushiki Kaisha
    Inventor: Taichi Matsui
  • Patent number: 11070705
    Abstract: A method includes obtaining a dynamic range representation of an image including multiple color channels. The dynamic range representation includes dynamic range information of pixels of the image in the color channels. The method further includes decomposing the dynamic range representation into a smooth portion, a color portion, and a detail portion. The smooth portion includes low frequency information of the pixels in the color channels. The color portion includes color intensity information of the pixels in the color channels. The detail portion includes high frequency information of the pixels in the color channels. The method also includes adjusting the smooth portion, the color portion, and the detail portion, respectively, to obtain an adjusted smooth portion, an adjusted color portion, and an adjusted detail portion, and combining the adjusted smooth portion, the adjusted color portion, and the adjusted detail portion to generate an output image.
    Type: Grant
    Filed: November 27, 2019
    Date of Patent: July 20, 2021
    Assignee: SZ DJI TECHNOLOGY CO., LTD.
    Inventor: Zisheng Cao
  • Patent number: 11070786
    Abstract: An immersive experience system is provided. The immersive experience system has a processor that determines a position of a first head-mounted display. Further, the processor determines a position of a second head-mounted display. The processor also generates a first image for a first immersive experience corresponding to the position of the first head-mounted display. Moreover, the process encodes the first image into a first infrared spectrum illumination having a first wavelength. In addition, the processor generates a second image for a second immersive experience corresponding to the position of the second head-mounted display. Finally, the processor encodes the second image into a second infrared spectrum illumination having a second wavelength. The first wavelength is distinct from the second wavelength.
    Type: Grant
    Filed: May 2, 2019
    Date of Patent: July 20, 2021
    Assignee: DISNEY ENTERPRISES, INC.
    Inventors: Steven Chapman, Joseph Popp, Alice Taylor, Joseph Hager
  • Patent number: 11062480
    Abstract: A method for processing an image may include: collecting an ambient light spectrum while capturing an image (10); determining RGB tristimulus values corresponding to ambient environment of the captured image based on the collected ambient light spectrum and a color filter absorption curve (11); determining skin color coordinates based on the collected ambient light spectrum and a spectral absorption curve of a skin color model (12); and determining RGB values in the skin color model based on the RGB tristimulus values and the skin color coordinates (13).
    Type: Grant
    Filed: December 14, 2018
    Date of Patent: July 13, 2021
    Assignee: BOE TECHNOLOGY GROUP CO., LTD.
    Inventor: Xingxing Zhao
  • Patent number: 11037357
    Abstract: A technique for compressing an original image is disclosed. According to the technique, an original image is obtained and a delta-encoded image is generated based on the original image. Next, a segregated image is generated based on the delta-encoded image and then the segregated image is compressed to produce a compressed image. The segregated image is generated because the segregated image may be compressed more efficiently than the original image and the delta image.
    Type: Grant
    Filed: December 6, 2019
    Date of Patent: June 15, 2021
    Assignees: Advanced Micro Devices, Inc., ATI Technologies ULC
    Inventors: Ruijin Wu, Skyler Jonathon Saleh, Christopher J. Brennan, Kei Ming Kwong, Anthony Hung-Cheong Chan
  • Patent number: 11032442
    Abstract: An image processing apparatus of an embodiment includes an image processing unit to convert a color image to a monochrome image. The color image comprises pixels with a plurality of color components. The image processing unit is configured to generate a histogram from the monochrome image showing a color intensity gradation in the monochrome image by pixel frequency. A processor is configured to obtain a first threshold value based on the histogram, determine for each color component of each pixel in the color image whether or not each color component of the pixel is light based on the first threshold value, and generate a corrected color image by removing a background coloring from the color image by correcting each pixel for which all the color components are determined to be light.
    Type: Grant
    Filed: March 15, 2019
    Date of Patent: June 8, 2021
    Assignee: TOSHIBA TEC KABUSHIKI KAISHA
    Inventor: Keiko Kanamori
  • Patent number: 11012589
    Abstract: An image processing apparatus includes a first generation unit and a second generation unit. The first generation unit generates reduced original image data for forming a reduced image of an original image to be formed on the basis of print data. The second generation unit generates background-emphasized reduced image data for forming a reduced image in which a reduced background region is emphasized in the reduced image, and the reduced background region corresponds to a background region of an object included in the original image.
    Type: Grant
    Filed: November 9, 2017
    Date of Patent: May 18, 2021
    Assignee: FUJI XEROX CO., LTD.
    Inventor: Masaki Watanabe