Classification Patents (Class 382/224)
  • Patent number: 11412314
    Abstract: Aspects of the subject disclosure may include, for example, receiving information about a content item of interest to a content consumer, determining a context of the content consumer, curating a summary segment for the content consumer based on the context of the content consumer, and presenting the summary segment to the content consumer at a context-appropriate time and in a context-appropriate manner to orient the content consumer to the content item of interest at a current viewing time of the content consumer. Other embodiments are disclosed.
    Type: Grant
    Filed: November 20, 2020
    Date of Patent: August 9, 2022
    Assignee: AT&T Intellectual Property I, L.P.
    Inventors: Eric Zavesky, Taylor Gift, James H. Pratt, Barkha Pathik Patel, Michael Gonzales
  • Patent number: 11409976
    Abstract: There is provided a barcode detection device including an image sensor and a processor. The image sensor captures an image frame of a color barcode. The processor sequentially processes every row of the image frame to find at least one color segment in each row of the image frame, categorizes color segments of a same color in one cluster according to a position relationship and a color similarity of the color segments in the image frame, and averages color parameters of pixels in one cluster to accordingly recognize a color of the pixels in said one cluster.
    Type: Grant
    Filed: March 4, 2021
    Date of Patent: August 9, 2022
    Assignee: PIXART IMAGING INC.
    Inventor: Wen-Han Yao
  • Patent number: 11410414
    Abstract: Systems and methods for detection and localization of image and document forgery. The method can include the step of receiving a dataset having a plurality of authentic images and a plurality of manipulated images. The method can also include the step of benchmarking a plurality of image forgery algorithms using the dataset. The method can further include the step of generating a plurality of receiver operating characteristic (ROC) curves for each of the plurality of image forgery algorithms. The method also includes the step of calculating a plurality of area under curve metrics for each of the plurality of ROC curves. The method further includes the step of training a neural network for image forgery based on the plurality of area under curve metrics.
    Type: Grant
    Filed: October 10, 2017
    Date of Patent: August 9, 2022
    Assignee: Insurance Services Office, Inc.
    Inventors: Anurag Ghosh, Dongmian Zou, Maneesh Kumar Singh
  • Patent number: 11402308
    Abstract: A system and method for imaging a biological sample using a freezable fluid cell system is disclosed. The freezable fluid cell comprises a top chip, a bottom chip, and a spacer to control the thickness of a vitrified biological sample. The spacer is positioned between the top chip and the bottom chip to define a channel that is in fluid communication with an inlet port and an exit port to the freezable fluid cell system. The channel can be filled with a biological sample, vitrified, and imaged to produce high-resolution electron microscopic image.
    Type: Grant
    Filed: December 6, 2017
    Date of Patent: August 2, 2022
    Assignee: Brandeis University
    Inventors: Joel Meyerson, Jungwon Park
  • Patent number: 11392797
    Abstract: An approach is provided for filtering imagery to train a feature detection model. The approach involves, for example, receiving a plurality of images. The plurality of images is classified as depicting a feature of interest. The approach also involves providing data for presenting a bulk arrangement of at least one subset of the plurality of images, wherein the bulk arrangement is based on a characteristic of the plurality of images (e.g., detection confidence, position, size, visual characteristic, etc. of the detected feature). The approach further involves initiating a filtering of the plurality of images based on the bulk arrangement and providing the filtered plurality of images as training data to train the feature detection model.
    Type: Grant
    Filed: January 31, 2020
    Date of Patent: July 19, 2022
    Assignee: HERE Global B.V.
    Inventor: Alastair B. Sutherland
  • Patent number: 11386708
    Abstract: A system for providing cognition assistance including a contextual memory trainer, which receives preprocessed data including facial data, scene data, and activity data related to a video in association with temporal data and geographical location data of the camera that captured the video, where the scene data, the activity data, the geographical location data, and the temporal data collectively define spatiotemporal data. The trainer identifies an unknown aspect in the preprocessed data based on historical data and determines a predefined priority factor therefor. The priority factor includes one of a frequency of occurrence within a set period and relative proximity of the unknown aspect to the camera, a known face, place, or scene. The unknown aspect is prioritized for annotation based on a value of the priority factor exceeding a predefined threshold value, based on which facial data is associated with the spatiotemporal data to provide contextual annotated data.
    Type: Grant
    Filed: October 21, 2020
    Date of Patent: July 12, 2022
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Biju Subrahmanian, Bolaka Mukherjee, Vipin Anilkumar Bhasin
  • Patent number: 11386353
    Abstract: This application discloses a method and an apparatus for training a classification model. The method includes obtaining a training sample, the training sample including a training parameter and a true classification corresponding to the training parameter and preforming classification training on an initial classification model by using the training parameter, to obtain a predicted classification. The method also includes determining a residual between the true classification and the predicted classification according to a gradient loss function of the initial classification model, the gradient loss function comprising a distance factor representing a distance between a first category and a second category, the first category being a category to which the predicted classification belongs, and the second category being a category to which the true classification belongs. The method further includes modifying the initial classification model according to the residual to obtain a final classification model.
    Type: Grant
    Filed: February 27, 2019
    Date of Patent: July 12, 2022
    Assignee: Tencent Technology (Shenzhen) Company Limited
    Inventor: Hongjun Yin
  • Patent number: 11386991
    Abstract: Systems and methods for detecting and classifying clinical features in medical images are disclosed. Natural language processes are applied to speech received from a dictation system to determine clinical and anatomical information for a medical image being viewed. In some examples, gaze location information identifying an eye position is received, as well as an image position for the medical image being viewed. Features of the medical image are detected and classified based on machine learning models. Anatomical associations are generated based on one or more of the classifications, the anatomical information, the gaze information, and the image position. The machine learning models can be trained based on the anatomical associations. In some examples, reports are generated based on the anatomical associations.
    Type: Grant
    Filed: October 29, 2019
    Date of Patent: July 12, 2022
    Assignee: Siemens Medical Solutions USA, Inc.
    Inventors: Bruce S. Spottiswoode, Ludovic Sibille, Vilim Simcic
  • Patent number: 11381782
    Abstract: A position and pose determination unit (103) is configured to determine a position and an pose of the video acquisition unit (110) in such a way that a level of hiding caused by overlapping of objects becomes low based on environmental object information indicating an environmental object including a structural object present in the monitored area and a placed object placed in the structural object, and staying characteristic information indicating a staying characteristic of the object determined depending on the environmental object. The analysis and display unit (111) is configured to perform at least one of analyzing a video captured by the video acquisition unit (103) at the position and the pose determined by the position and pose determination unit (110) and displaying the video.
    Type: Grant
    Filed: March 29, 2018
    Date of Patent: July 5, 2022
    Assignee: NEC CORPORATION
    Inventor: Ryoma Oami
  • Patent number: 11373061
    Abstract: Provided is an object detection device or the like which efficiently generates good-quality training data. This object detection device is provided with: a detection unit which uses a dictionary to detect objects from an input image; a reception unit which displays, on a display device, the input image accompanied by a display emphasizing partial areas of detected objects, and receives, from one operation of an input device, a selection of a partial area and an input of the class of the selected partial area; a generation unit which generates training data from the image of the selected partial area and the inputted class; and a learning unit which uses the training data to learn the dictionary.
    Type: Grant
    Filed: July 24, 2020
    Date of Patent: June 28, 2022
    Assignee: NEC CORPORATION
    Inventor: Yusuke Takahashi
  • Patent number: 11372900
    Abstract: A data linking system is described herein that links data records corresponding to a particular real estate property even if there are inconsistencies in the data records, the physical presence of the real estate property has changed over time, and/or the data records use different terminology. In some cases the data records are matched using a trained machine learning model. The data linking system can optionally generate a visualization of the data record linkage via interactive user interfaces. By linking data records despite the issues described above, the data linking system reduces the number of navigational steps a user performs to obtain data associated with a property and/or reduces data processing times. The disclosed system may be used to generate and maintain a comprehensive database of substantially all properties within a jurisdiction, in which a unique identifier is assigned to each property.
    Type: Grant
    Filed: November 21, 2018
    Date of Patent: June 28, 2022
    Inventors: Jia Guo, Jacques Truong, Pallavi Wankhede, Susanna Park, Patrick Jacolenne, Aaron Robert Wepler, Stanley Wu
  • Patent number: 11366967
    Abstract: Systems and methods are described for generating learning roadmaps from unstructured information. The systems and methods may provide for extracting a plurality of named entities from one or more corpora of information, constructing a graph based on the named entities, inducing a subgraph from the graph based on a target named entity, wherein the subgraph includes a subset of the named entities, ordering the subset of the named entities based on the subgraph, and generating a learning roadmap for the target named entity based on the ordering.
    Type: Grant
    Filed: July 24, 2019
    Date of Patent: June 21, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Mandar Mutalikdesai, Rahul Reddy Nimmakayala, Ashish Rao, Sheetal Srivastava, Kartikeya Vats
  • Patent number: 11367306
    Abstract: An autonomous mobile device (AMD) or other device may perform various tasks during operation. The AMD includes a camera to acquire an image. Some tasks, such as presenting information on a display screen or a video call, may involve the AMD determining whether a user is engaged with the AMD. The AMD may move a component, such as the camera or the display screen, to provide a best experience for an engaged user. Images from the camera are processed to determine attributes of the user, such as yaw of the face of the user, pitch of the face of the user, distance from the camera, and so forth. Based on the values of these attributes, a user engagement score is determined. The score may be used to select a particular user from many users in the image, or to otherwise facilitate operation of the AMD.
    Type: Grant
    Filed: June 23, 2020
    Date of Patent: June 21, 2022
    Assignee: AMAZON TECHNOLOGIES, INC.
    Inventors: Cheng-Hao Kuo, Anuja Shantaram Dawane, Che-Chun Su, Jingjing Zheng, Jim Oommen Thomas
  • Patent number: 11363150
    Abstract: There is provided an image management apparatus. A first receiving unit receives an image from a communication apparatus. A sending unit sends the image and an evaluation request for the image to an image evaluation apparatus configured to perform evaluation with respect to likelihood that another user will purchase the image. A second receiving unit receives an evaluation result for the image from the image evaluation apparatus. A registering unit registers the image in a server apparatus configured to provide an image sales service, in a case where the evaluation result indicates that the likelihood satisfies a predetermined standard and information, which indicates that a user consents to having the image registered in the server apparatus, is set in the image.
    Type: Grant
    Filed: February 9, 2021
    Date of Patent: June 14, 2022
    Assignee: CANON KABUSHIKI KAISHA
    Inventors: Takahiro Matsushita, Tatsuya Nakamura
  • Patent number: 11353564
    Abstract: Disclosed are a disturbance light identifying apparatus, a disturbance light separating apparatus, a disturbance light identifying method, and a disturbance light separating method capable of precisely identifying whether or not light exiting an optical system contains a disturbance light component or capable of separating such a disturbance light component by using a simple technique. Provided are: a modulated light irradiation unit that irradiates an optical system 1 with modulated light; a light receiving unit that receives light exiting the optical system 1 in response to an incidence of the modulated light from the modulated light irradiation unit; and a controlling unit that controls the modulated light irradiation unit and the light receiving unit.
    Type: Grant
    Filed: December 17, 2018
    Date of Patent: June 7, 2022
    Assignee: Tamron Co., Ltd.
    Inventor: Kodai Yamane
  • Patent number: 11354547
    Abstract: System, methods, and other embodiments described herein relate to improving clustering of points within a point cloud. In one embodiment, a method includes grouping the points into cells of a grid. The grid divides an observed region of a surrounding environment associated with the point cloud into the cells. The method includes computing feature vectors for the cells that use cell features to characterize the points in the cells and relationships between the cells. The method includes analyzing the feature vectors according to a clustering model to identify clusters for the cells. The clustering model evaluates the cells to identify which of the cells belong to common entities. The method includes providing the clusters as assignments of the points to the entities depicted in the point cloud.
    Type: Grant
    Filed: March 31, 2020
    Date of Patent: June 7, 2022
    Assignee: Toyota Research Institute, Inc.
    Inventors: Michael James Delp, Antonio Prioletti, Matthew T. Kliemann, Randall J. St. Romain, II
  • Patent number: 11347739
    Abstract: A retrieval device includes a searching unit, an obtaining unit and a selecting unit. The searching unit searches a memory unit, which is stored object data that includes specific information identifying an object and attribute information indicating at least one of timing and position, for first object data containing specific information identical or similar to specified specific information. The obtaining unit obtains, from the memory unit, one or more sets of second object data which contains attribute information identical or similar to the attribute information included in the first object data and which contains specific information different than the specific information included in the first object data. The selecting unit selects one of the sets of second object data. The searching unit further searches for the first object data with the specific information included in the selected second object data serving as specified specific information.
    Type: Grant
    Filed: January 26, 2017
    Date of Patent: May 31, 2022
    Assignee: KABUSHIKI KAISHA TOSHIBA
    Inventors: Shinichiro Hamada, Kunio Osada
  • Patent number: 11334773
    Abstract: Techniques for masking images based on a particular task are described. A system masks portions of an image that are not relevant to a particular task, thus, reducing the amount of data used by applications for image processing tasks. For example, images to be processed using a hair color classification model are masked so that only portions that show the person's hair are available for the model to analyze. The system configures different masker components to mask images for different tasks. A masker component can be implemented at a user device to mask images prior to sending to an application/task-specific model.
    Type: Grant
    Filed: June 26, 2020
    Date of Patent: May 17, 2022
    Assignee: Amazon Technologies, Inc.
    Inventors: Vivek Yadav, Aayush Gupta, Yue Wu, Pradeep Natarajan, Ayush Jaiswal
  • Patent number: 11328124
    Abstract: Systems and methods are described for generating learning roadmaps from unstructured information. The systems and methods may provide for extracting a plurality of named entities from one or more corpora of information, constructing a graph based on the named entities, inducing a subgraph from the graph based on a target named entity, wherein the subgraph includes a subset of the named entities, ordering the subset of the named entities based on the subgraph, and generating a learning roadmap for the target named entity based on the ordering.
    Type: Grant
    Filed: July 24, 2019
    Date of Patent: May 10, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Mandar Mutalikdesai, Rahul Reddy Nimmakayala, Ashish Rao, Sheetal Srivastava, Kartikeya Vats
  • Patent number: 11327194
    Abstract: The present disclosure discloses a method for identifying a boundary of a sedimentary facies, a computer device and a computer readable storage medium. The method comprises: acquiring a preliminary marked result of the sedimentary facies in a seismic attribute map; acquiring a color-based K-means classification result of the seismic attribute map by using a maximal between-cluster variance and a K-means clustering; acquiring a super-pixel classification result of the seismic attribute map according to a SLIC super-pixel segmentation; and performing a region growing fusion on the super-pixel classification result by taking the preliminary marked result and the K-means classification result as constraints, to determine an identification result of the boundary of the sedimentary facies in the seismic attribute map.
    Type: Grant
    Filed: August 7, 2020
    Date of Patent: May 10, 2022
    Assignee: PETROCHINA COMPANY LIMITED
    Inventors: Qilin Chen, Xingmiao Yao, Changkuan Ni, Bo Yan, Huaqing Liu, Guangmin Hu, Zhong Hong, Haichao Jiao
  • Patent number: 11321527
    Abstract: Techniques for machine learning using curated features are provided. A plurality of key terms is identified for a first document type of a plurality of document types. A document associated with the first document type is received, and the document is modified by inserting one or more of the plurality of key terms. A vector is generated for the modified document, and a machine learning model is trained to categorize input into the plurality of document types based on the modified document.
    Type: Grant
    Filed: January 21, 2021
    Date of Patent: May 3, 2022
    Assignee: International Business Machines Corporation
    Inventors: Maithreyi Gopalarao, Manveer Singh Sandhu, Rohit Athradi Shetty, Amit Meel
  • Patent number: 11321927
    Abstract: A method includes obtaining a plurality of sequential images. The method includes identifying a first plurality of pixel sets respectively associated with the plurality of sequential images. Each of the first plurality of pixel sets locates a first object within a corresponding sequential image on a per-pixel basis. The method includes determining a characterization vector of the first object by extracting a corresponding plurality of displayable characteristic values based on the first plurality of pixel sets. Each of the plurality of displayable characteristic values is associated with a corresponding pixel set and a corresponding sequential image. The characterization vector includes a plurality of distinct temporal values respectively associated with the corresponding plurality of displayable characteristic values.
    Type: Grant
    Filed: August 4, 2020
    Date of Patent: May 3, 2022
    Assignee: APPLE INC.
    Inventor: Ronald Vernon Ong Siy
  • Patent number: 11321955
    Abstract: An information processing apparatus includes a memory and a processor. The processor is connected to the memory and configured to accept input of a threshold of a confidence level indicating how confident a recognition result obtained by recognizing an image is; when the threshold whose input is accepted is applied to an actual data group constituted by one or more pieces of actual data that are recognition results accumulated as actual performance results, classify the actual data group by necessity of validation on the basis of a result of comparison between a confidence level in each of the one or more pieces of actual data in the actual data group and the threshold; and perform control to display classification results obtained by the classification.
    Type: Grant
    Filed: October 11, 2019
    Date of Patent: May 3, 2022
    Assignee: FUJIFILM Business Innovation Corp.
    Inventor: Takanori Ono
  • Patent number: 11314803
    Abstract: A method for image-processing is disclosed. The method includes obtaining first image-information of an image that is to be clustered in response to a first preset condition being met; clustering the image according to the first image-information and obtaining a first clustering-result; sending an image-clustering request to a server in response to a second preset condition being met, wherein the image-clustering request is configured to indicate the server to cluster the image which has been uploaded to the server and obtain a second clustering-result; and receiving the second clustering-result returned from the first server and updating at least one of the first clustering-result and the second clustering-result according to a preset rule.
    Type: Grant
    Filed: March 13, 2020
    Date of Patent: April 26, 2022
    Assignee: GUANGDONG OPPO MOBILE TELECOMMUNICATIONS CORP., LTD.
    Inventors: Xiuhua Ke, Wei Cao, Jun Wang
  • Patent number: 11315045
    Abstract: A weighting value is determined for each of a plurality of decision trees in a random forest model hosted on a particular device, where the weighting is based on entropy of the respective decision tree. A new decision tree is received at the particular device and a weighting value is determined for the new decision tree based on entropy of the new decision tree. Based on the determined weighting value, it is determined whether to add the new the decision tree to the random forest model. A classification for data generated at the particular device is predicted using the random forest model.
    Type: Grant
    Filed: December 29, 2016
    Date of Patent: April 26, 2022
    Assignee: Intel Corporation
    Inventors: Yu-Lin Tsou, Shao-Wen Yang, Hong-Min Chu
  • Patent number: 11315351
    Abstract: The information processing device includes: a reception unit configured to receive image data regarding an accounting supporting document; a first acquisition unit configured to recognize characters in the image data and acquire the recognized characters as character data; a first identification unit configured to identify a purpose classification on the basis of the character data acquired by the first acquisition unit and the image data; an allocation unit configured to identify a standard item regarding the accounting supporting document on the basis of the character data and allocate characters to the standard item; an association unit configured to associate the characters with other characters adjacent to the characters; and an output unit configured to output the purpose classification identified by the first identification unit and the standard item and the other characters in a format in which the standard item and the other characters are associated by the association unit.
    Type: Grant
    Filed: January 8, 2020
    Date of Patent: April 26, 2022
    Assignee: Kabushiki Kaisha Genial Technology
    Inventor: Akimasa Abekawa
  • Patent number: 11315033
    Abstract: A computer system includes a storage device and a processor configured to operate in accordance with command codes stored in the storage device. The processor places a plurality of feature vectors including feature vectors each provided with a label in a feature space. The processor determines forces among the plurality of feature vectors determined from repulsions and attractions between feature vectors. A repulsion is defined to be larger when a distance between the feature vectors is shorter, and an attraction is defined to be larger when the feature vectors have a predetermined relationship. The processor rearranges the plurality of feature vectors to reduce potential energy of the feature space determined by the forces among the plurality of feature vectors. The processor outputs at least a part of the plurality of rearranged feature vectors as data to be used for data analysis.
    Type: Grant
    Filed: March 22, 2018
    Date of Patent: April 26, 2022
    Assignee: HITACHI, LTD.
    Inventors: Miaomei Lei, Toshinori Miyoshi, Hiroki Sato
  • Patent number: 11310668
    Abstract: The invention proposes a system and a method for transmitting a message that allows a sender (designated by an identifier) to send a digital content to one or more recipients (designated by one or more identifiers), the content being associated with at least one material subject (each designated by a single authenticator). Thus, to send a message, the sender implements at least one single authenticator of the material subject, discriminant and intrinsic characteristic of each material subject, which serves to anchor the content to transmit. To be able to access the content of the message, the recipient must provide the server not only its identifier, as for any current messaging system, but also a single authenticator with a same material subject that was used at the time the sender created the message.
    Type: Grant
    Filed: March 14, 2018
    Date of Patent: April 19, 2022
    Assignee: KERQUEST
    Inventors: Yann Boutant, Gaël Rosset, Aurélien Hazebrouck
  • Patent number: 11308353
    Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for training a classification neural network to classify digital images in few-shot tasks based on self-supervision and manifold mixup. For example, the disclosed systems can train a feature extractor as part of a base neural network utilizing self-supervision and manifold mixup. Indeed, the disclosed systems can apply manifold mixup regularization over a feature manifold learned via self-supervised training such as rotation training or exemplar training. Based on training the feature extractor, the disclosed systems can also train a classifier to classify digital images into novel classes not present within the base classes used to train the feature extractor.
    Type: Grant
    Filed: October 23, 2019
    Date of Patent: April 19, 2022
    Assignee: Adobe Inc.
    Inventors: Mayank Singh, Puneet Mangla, Nupur Kumari, Balaji Krishnamurthy, Abhishek Sinha
  • Patent number: 11300521
    Abstract: A method for automatic defect classification, the method may include (i) acquiring, by a first camera, at least one first image of at least one area of an object; (ii) processing the at least one first image to detect a group of suspected defects within the at least one area; (iii) performing a first classification process for initially classifying the group of suspected defects; (iii) determining whether a first subgroup of the suspected defects requires additional information from a second camera for a completion of a classification; (iv) when determining that the first subgroup of the suspected defects requires additional information from the second camera then: (a) acquiring second images, by the second camera, of the first subgroup of the suspected defects; and (b) performing a second classification process for classifying the first subgroup of suspected defects.
    Type: Grant
    Filed: June 14, 2018
    Date of Patent: April 12, 2022
    Assignee: CAMTEK LTD.
    Inventors: Menachem Regensburger, Daniel Buzaglo
  • Patent number: 11288823
    Abstract: Methods, apparatus, systems and articles of manufacture of logo recognition in images and videos are disclosed. An example method to detect a specific brand in images and video streams comprises accepting luminance images at a scale in an x direction Sx and a different scale in a y direction Sy in a neural network, and training the neural network with a set of training images for detected features associated with a specific brand.
    Type: Grant
    Filed: April 7, 2020
    Date of Patent: March 29, 2022
    Assignee: Gracenote, Inc.
    Inventors: Jose Pio Pereira, Kyle Brocklehurst, Sunil Suresh Kulkarni, Peter Wendt
  • Patent number: 11282116
    Abstract: Image-based features may be significantly correlated with click-through rates of images that depict a product, which may provide a more formal basis for the informal notion that good quality images will result in better click-through rates, as compared to poor quality images. Accordingly, an image assessment machine is configured to analyze image-based features to improve click-through rates for shopping search applications (e.g., a product search engine). Moreover, the image assessment machine may rank search results based on image quality factors and may notify sellers about low quality images. This may have the effect of improving the brand value for an online shopping website and accordingly have a positive long-term impact on the online shopping website.
    Type: Grant
    Filed: October 29, 2019
    Date of Patent: March 22, 2022
    Assignee: eBay Inc.
    Inventors: Anjan Goswami, Naren Chittar, Ali Dasdan, Sanjay Pundlkrao Ghatare, Sandip Namdeo Gaikwad, Sung Hwan Chung
  • Patent number: 11281893
    Abstract: Disclosed is to a method and to a device for modifying the affective visual information in the field of vision of a user of the device. The device includes at least one image sensor and at least one display. The method includes the following steps: Detecting an image in the field of vision of the device using an image sensor, carrying out a face recognition using the detected image for recognizing at least one face, determining the position of the eyes and mouth of the detected face, calculating a superimposition area in the display of the device in accordance with the determined positions of the eyes and mouth, superimposing the field of vision of a user of the device with alternative image data in the calculated superimposition of the display.
    Type: Grant
    Filed: June 21, 2017
    Date of Patent: March 22, 2022
    Inventor: Stefan Zechner
  • Patent number: 11282207
    Abstract: An image processing method performed by a computing device deployed with a deep-learning neural network is provided. An image, including an object to be segmented from the image, is acquired. The object is segmented from the image by using the deep-learning neural network to acquire a first segmentation result. Correction information input by a user with respect to the first segmentation result is acquired. Based on correction information, the first segmentation result is modified by using the deep-learning neural network, to acquire a second segmentation result.
    Type: Grant
    Filed: June 16, 2020
    Date of Patent: March 22, 2022
    Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LTD
    Inventors: Yurong Dai, Qi Fan
  • Patent number: 11281962
    Abstract: In certain embodiments, content items may be obtained, where each of the content items may include multiple data types. Machine learning models may be caused to be trained based on the content items to map data in a vector space by providing at least a first portion of each of the content items as input to at least one of the machine learning models and providing at least a second portion of each of the content items as input to at least another one of the machine learning models. A search request for results may be obtained, where the search request includes search parameters. One or more locations within the vector space may be predicted (e.g., by one or more of the machine learning models) based on the search parameters. Information (indicating content items mapped to or proximate the predicted locations) may be provided as a request response.
    Type: Grant
    Filed: September 27, 2017
    Date of Patent: March 22, 2022
    Assignee: Clarifai, Inc.
    Inventors: Matthew Zeiler, David Eigen, Ryan Compton, Christopher Fox
  • Patent number: 11276034
    Abstract: One variation of a method for tracking stock level within a store includes: dispatching a robotic system to image shelving structures within the store during a scan cycle; receiving images from the robotic system, each image recorded by the robotic system during the scan cycle and corresponding to one waypoint within the store; identifying, in the images, empty slots within the shelving structures; identifying a product assigned to each empty slot based on product location assignments defined in a planogram of the store; for a first product of a first product value and assigned to a first empty slot, generating a first prompt to restock the first empty slot with a unit of the first product during the scan cycle; and, upon completion of the scan cycle, generating a global restocking list specifying restocking of a set of empty slots associated with product values less than the first product value.
    Type: Grant
    Filed: February 14, 2020
    Date of Patent: March 15, 2022
    Assignee: Simbe Robotics, Inc.
    Inventors: Mirza Akbar Shah, Bradley Bogolea, Jeffrey Gee
  • Patent number: 11275942
    Abstract: A method for generating training data can include: determining a set of images; determining a set of masks based on the images; determining a first mesh based on the set of masks; optionally determining a refined mesh by recomputing the first mesh; optionally determining one or more faces of the refined mesh; optionally adding one or more keypoints to the refined mesh; optionally determining a material property set for the object; optionally generating a full object mesh; determining one or more scenes; optionally determining training data based on the one or more scenes; optionally training one or more object detectors using the training data; and detecting one or more objects using the trained object detector.
    Type: Grant
    Filed: July 14, 2021
    Date of Patent: March 15, 2022
    Assignee: Vicarious FPC, Inc.
    Inventors: Eyrun Eyjolfsdottir, Michael Stark, Marco Carra, Manushree Gangwar, Alex Schlegel, Karthikeyan Yuvaraj, Dennis Park, David A. Mely, Anna Chen, Sivaramakrishnan Swaminathan
  • Patent number: 11270157
    Abstract: The present disclosure provides a system and method for classification determination of a structure. The method may include obtaining image data representing a structure of a subject. The method may also include determining a plurality of candidate classifications of the structure and their respective probabilities by inputting the image data into a classification model. The classification model may include a backbone network for determining a backbone feature of the structure, a segmentation network for determining a segmentation feature of the structure, and a density classification network for determining a density feature of the structure. The method may further include determining a target classification of the structure based on at least a part of the probabilities of the plurality of candidate classifications.
    Type: Grant
    Filed: December 27, 2019
    Date of Patent: March 8, 2022
    Assignee: SHANGHAI UNITED IMAGING INTELLIGENCE CO., LTD.
    Inventors: Yanbo Chen, Yaozong Gao, Yiqiang Zhan
  • Patent number: 11244193
    Abstract: Provided herein is a method, apparatus, and computer program product for classifying objects as static objects or dynamic objects based on point cloud data. Methods may include: receiving point cloud data representative of an environment; computing voxel sequences from the point cloud data; extracting voxel-wise semantic features from the voxel sequences; modeling voxel-wise temporal changes based on the voxel-wise semantic features; and classifying objects in the environment as dynamic objects or static objects based on the modeled voxel-wise temporal changes. Computing voxel sequences from the point cloud data may include using a voxel cloud connectivity segmentation method to group voxels in point clouds into perceptually meaningful regions.
    Type: Grant
    Filed: August 7, 2019
    Date of Patent: February 8, 2022
    Assignee: HERE GLOBAL B.V.
    Inventor: Shubhabrata Roy
  • Patent number: 11238722
    Abstract: The methods and systems are designed to utilize an integrated combination of just in time, just in place, and just on device actions connected to an image recognition process for monitoring criminals who are probation, offenders who are on parole, sex offenders, and witnesses under protection by law enforcement.
    Type: Grant
    Filed: October 15, 2019
    Date of Patent: February 1, 2022
    Assignee: OPTIMUM ID LLC
    Inventors: Hemanshu Nigam, Michael Lang, James Drolshagen
  • Patent number: 11238316
    Abstract: Implementations described herein relate to methods, systems, and computer-readable media to detect counterfeit virtual three-dimensional (3D) objects. In some implementations, a computer-implemented method includes receiving an unauthenticated virtual 3D object. The method further includes determining a plurality of two-dimensional (2D) views of the unauthenticated virtual 3D object. In some implementations, the plurality of 2D views include at least two 2D views and each view of the plurality of 2D views is captured from a respective viewpoint. The method further includes calculating a hash value for each 2D view of the plurality of 2D views. The method further includes determining whether the respective hash values of at least two of the plurality of 2D views match hash values of corresponding 2D views of an authentic virtual 3D object and if it is determined that the respective hash values match, classifying the unauthenticated virtual 3D object as a counterfeit object.
    Type: Grant
    Filed: December 4, 2019
    Date of Patent: February 1, 2022
    Assignee: Roblox Corporation
    Inventors: Robin E. Mayes, Courtland R. Caldwell, Rebecca L. Herndon, Hariharan Natarajan
  • Patent number: 11233952
    Abstract: Systems, devices, media and methods are presented for presentation of modified objects within a video stream. The systems and methods select an object of interest depicted within a user interface based on an associated image modifier, determine a modifier context based at least in part on one or more characteristics of the selected object, identify a set of image modifiers based on the modifier context, rank a first portion of the identified set of image modifiers based on a primary ordering characteristic, rank a second portion of the identified set of image modifiers based on a secondary ordering characteristic and cause presentation of the modifier icons for the ranked set of image modifiers.
    Type: Grant
    Filed: March 11, 2020
    Date of Patent: January 25, 2022
    Assignee: Snap Inc.
    Inventors: Ebony James Charlton, Michael John Evans, Samuel Edward Hare, Andrew James McPhee, Robert Cornelius Murphy, Eitan Pilipski
  • Patent number: 11232647
    Abstract: Methods and devices for generating reference data for adjusting a digital representation of a head region, and methods and devices for adjusting the digital representation of a head region are disclosed. In some arrangements, training data are received. A first machine learning algorithm generates first reference data using the training data. A second machine learning algorithm generates second reference data using the same training data and the first reference data generated by the first machine learning algorithm.
    Type: Grant
    Filed: July 23, 2020
    Date of Patent: January 25, 2022
    Assignee: RealD Spark, LLC
    Inventors: Eric Sommerlade, Alexandros Neophytou
  • Patent number: 11232306
    Abstract: A display apparatus includes a communication interface, a camera, a display and a processor configured to receive information on a plurality of images including a first object image corresponding to an identical type of an object selected by a user and a second object image included in each of the plurality of images. The processor is configured to identify one from a plurality of images based on information on a third object image identified from an image photographed through the camera and the received second object image, and control the display to display an obtained image based on the identified image, a fourth object image corresponding to an object selected by the user, and the third object image is displayed.
    Type: Grant
    Filed: November 18, 2019
    Date of Patent: January 25, 2022
    Assignee: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Hyeseon Heo, Kyoungjae Park, Youngchun Ahn
  • Patent number: 11216496
    Abstract: Roughly described, a system for user identification of a desired document. A database is provided which identifies a catalog of documents in an embedding space, the database identifying a distance in the embedding space between each pair of documents corresponding to a predetermined measure of dissimilarity between the pair of documents. The system presents an initial collection of the documents toward the user, from an initial candidate space which is part of the embedding space. The system then iteratively refines the candidate space using geometric constraints on the embedding space determined in response to relative feedback by the user. At each iteration the system identifies to the user a subset of documents from the then-current candidate space, based on which the user provides the relative feedback. In an embodiment, these subsets of documents are more discriminative than the average discriminativeness of similar sets of documents in the then-current candidate space.
    Type: Grant
    Filed: November 12, 2019
    Date of Patent: January 4, 2022
    Assignee: Evolv Technology Solutions, Inc.
    Inventor: Nigel Duffy
  • Patent number: 11216659
    Abstract: A system and method of processing source data that includes table data by converting the table data into machine encoded text data having associated therewith text coordinate data having a Y-axis component and an X-axis component, and then generating from the machine encoded text data a plurality of pixels along the Y-axis component and the X-axis component. The system then performs a clustering technique on the plurality of pixels to generate a plurality of clusters of pixels based on similar attributes, and classifying each of the plurality of clusters of pixels as a selected row of the table and as a selected column of the table, thus making available the information encoded in the table for subsequent processing.
    Type: Grant
    Filed: January 13, 2020
    Date of Patent: January 4, 2022
    Assignee: KPMG LLP
    Inventors: Raghuram Srinivas, Marisa Ferrara Boston, Vishnu Muralidharan, Seth Harsh
  • Patent number: 11210524
    Abstract: A method and an apparatus for outputting information are provided according to embodiments of the disclosure. The method includes: recognizing a target video, to recognize at least one entity and obtain a confidence degree of each entity, the entity including a main entity and related entities; matching the at least one entity with a pre-stored knowledge base to determine at least one candidate entity; obtaining at least one main entity by expanding the related entities of the at least one candidate entity based on the knowledge base, and obtaining a confidence degree of the obtained main entity; and calculating a confidence level of the obtained main entity based on the confidence degree of each of the related entities of the at least one candidate entity and the confidence degree of the obtained main entity, and outputting the confidence level of the obtained main entity.
    Type: Grant
    Filed: March 2, 2020
    Date of Patent: December 28, 2021
    Assignee: Beijing Baidu Netcom Science and Technology Co., Ltd.
    Inventors: Kexin Ren, Xiaohan Zhang, Zhifan Feng, Yang Zhang
  • Patent number: 11207995
    Abstract: A method includes causing, with a controller, operation of a first compaction machine at a worksite based at least in part on a worksite plan. The method also includes determining, with the controller, a return path extending from a current location of the first machine to a charging zone located at the worksite, and determining, with the controller, a return power required for the first machine to traverse the return path. The method further includes causing, with the controller, the first machine to traverse the return path, from the current location to the charging zone, based on at least one of the return power and an amount of available power stored in an energy storage device of the first machine.
    Type: Grant
    Filed: July 8, 2019
    Date of Patent: December 28, 2021
    Assignee: Caterpillar Paving Products Inc.
    Inventor: John L. Marsolek
  • Patent number: 11205065
    Abstract: Disclosed herein are systems, devices, and processes for gesture detection. A method includes capturing a series of images. The method includes generating motion isolation information based on the series of images. The method includes generating a composite image based on the motion isolation information. The method includes determining a gesture based on the composite image. The processes described herein may include the use of convolutional neural networks on a series of time-related images to perform gesture detection on embedded systems or devices.
    Type: Grant
    Filed: October 18, 2019
    Date of Patent: December 21, 2021
    Assignee: ALPINE ELECTRONICS OF SILICON VALLEY, INC.
    Inventors: Diego Rodriguez Risco, Samir El Aouar, Alexander Joseph Ryan
  • Patent number: 11200667
    Abstract: Disclosed prostate computer aided diagnosis (CAD) systems employ a Random Forest classifier to detect prostate cancer. System classify individual pixels inside the prostate as potential sites of cancer using a combination of spatial, intensity and texture features extracted from three sequences. The Random Forest training considers instance-level weighting for equal treatment of small and large cancerous lesions and small and large prostate backgrounds. Two other approaches are based on an AutoContext pipeline intended to make better use of sequence-specific patterns. Also disclosed are methods and systems for accurate automatic segmentation of the prostate in MRI. Methods can include both patch-based and holistic (image-to-image) deep learning methods for segmentation of the prostate. A patch-based convolutional network aims to refine the prostate contour given an initialization. A method for end- to-end prostate segmentation integrates holistically nested edge detection with fully convolutional networks.
    Type: Grant
    Filed: February 22, 2018
    Date of Patent: December 14, 2021
    Assignee: The United States of America, as represented by the Secretary, Department of Health and Human Services
    Inventors: Nathan S. Lay, Yohannes Tsehay, Ronald M. Summers, Baris Turkbey, Matthew Greer, Ruida Cheng, Holger Roth, Matthew J. McAuliffe, Sonia Gaur, Francesca Mertan, Peter Choyke