Cluster Analysis Patents (Class 382/225)
  • Patent number: 12100199
    Abstract: A computing apparatus to classify anomalies in images, by unsupervised anomaly detection on an input dataset of the images to detect anomaly portions from said images to generate, for an image in the dataset, a corresponding mask image transmitting a detected anomaly portion in the image and blocking anomaly-free portions; train a classifier ANN, including, in a first epoch process processing a masked version of the input dataset with the classifier ANN, the masked version including the image of the input dataset masked by the corresponding mask image, and training the classifier ANN to classify anomaly portions into one of plural classes by minimising a cross entropy loss function using generated labels as ground truths; extracting, from the classifier ANN, a latent feature representation of the image of the masked version in the input dataset; and in a second epoch process generating a set of pseudo labels corresponding to the masked version of the input dataset by applying an unsupervised clustering algori
    Type: Grant
    Filed: December 10, 2021
    Date of Patent: September 24, 2024
    Assignee: FUJITSU LIMITED
    Inventor: Yusuke Hida
  • Patent number: 12008481
    Abstract: A computer-implemented method for grouping target entities into clusters. A base association in which a cluster is associated with each of the target entities is determined in a computation step for the target entities as a function of an association for entities. Inference rules are determined as a function of the association for entities and as a function of the base association, each of the inference rules defining an association of entities with one of the clusters. An altered association is determined as a function of the association for entities and the inference rules. A check is made as to whether a difference between the base association and the altered association falls below a threshold value. When it does, an association of the target entities with the clusters is output or stored. Otherwise, a feedback value is determined as a function of the difference.
    Type: Grant
    Filed: September 25, 2020
    Date of Patent: June 11, 2024
    Assignee: ROBERT BOSCH GMBH
    Inventors: Daria Stepanova, Heike Adel-Vu, Mohamed Gad-Elrab, Trung Kien Tran
  • Patent number: 11978211
    Abstract: A phase image is formed by calculation from a hologram image of a cell, and segmentation is performed for each pixel for the phase image using a fully convolution neural network to identify an undifferentiated cell region, a deviated cell region, a foreign substance region, and the like. When learning, when a learning image included in a mini-batch is read, the image is randomly inverted vertically or horizontally and then is rotated by a random angle. A part that has been lost within the frame by the pre-rotation image is compensated for by a mirror-image inversion with an edge of a post-rotation image as an axis thereof. Learning of a fully convolution neural network is performed using the generated learning image. The same processing is repeated for all mini-batches, and the learning is repeated by a predetermined number of times while shuffling the training data allocated to the mini-batch. The precision of the learning model is thus improved.
    Type: Grant
    Filed: March 8, 2018
    Date of Patent: May 7, 2024
    Assignee: SHIMADZU CORPORATION
    Inventors: Wataru Takahashi, Ayako Akazawa
  • Patent number: 11933711
    Abstract: Methods and systems for displaying images of cells in a sample include obtaining a plurality of images of cells in the sample, where each image corresponds to one of the cells in the sample, determining values of at least one property for each of the cells based on the plurality of images, arranging the plurality of images to form a first image array, where the images are ordered in the first image array based on the values of the at least one property, displaying the first image array, sorting the plurality of images to form a second image array in which an ordering of the images is different from the first image array, and displaying the second image array, where the sample includes blood and the cells include red blood cells.
    Type: Grant
    Filed: October 20, 2020
    Date of Patent: March 19, 2024
    Assignee: Roche Diagnostics Hematology, Inc.
    Inventors: David Zahniser, Michael Zahniser, Adam Yie
  • Patent number: 11929147
    Abstract: Described herein are methods for identifying quasispecies of genomes by clustering sequence reads for samples including the genomes based on the similarities of the sequence reads.
    Type: Grant
    Filed: September 12, 2018
    Date of Patent: March 12, 2024
    Assignee: Roche Sequencing Solutions, Inc.
    Inventors: Darya Filippova, Khai Luong, Garima Kushwaha
  • Patent number: 11915519
    Abstract: A group to be authenticated in face authentication is efficiently registered in a system. An information processing system includes a face detection unit configured to detect a face from an image in which a plurality of faces of persons are shown, a determination unit configured to determine whether or not the face detected by the face detection unit satisfies a predetermined condition, and a registration information generation unit configured to generate registration information, the registration information being information in which a partial image of each of a plurality of faces that have been determined to satisfy the predetermined condition is associated with an identifier identifying a group to be authenticated in face authentication.
    Type: Grant
    Filed: July 8, 2022
    Date of Patent: February 27, 2024
    Assignee: NEC CORPORATION
    Inventor: Yuki Shimizu
  • Patent number: 11908548
    Abstract: The technology disclosed relates to generating ground truth training data to train a neural network-based template generator for cluster metadata determination task. In particular, it relates to accessing sequencing images, obtaining, from a base caller, a base call classifying each subpixel in the sequencing images as one of four bases (A, C, T, and G), generating a cluster map that identifies clusters as disjointed regions of contiguous subpixels which share a substantially matching base call sequence, determining cluster metadata based on the disjointed regions in the cluster map, and using the cluster metadata to generate the ground truth training data for training the neural network-based template generator for the cluster metadata determination task.
    Type: Grant
    Filed: May 27, 2022
    Date of Patent: February 20, 2024
    Assignee: Illumina, Inc.
    Inventors: Anindita Dutta, Dorna Kashefhaghighi, Amirali Kia
  • Patent number: 11907340
    Abstract: An image positioning device is provided in the invention. The image positioning device includes a calculation circuit and a positioning circuit. The calculation circuit obtains a plurality of images from an image capturing device and classifies the images into a plurality of main groups based on a first algorithm, wherein each main group corresponds to a different area and the calculation circuit classifies the images of each main group into a plurality of sub-groups based on a feature of each image of each main group and a clustering algorithm. The positioning circuit is coupled to the calculation circuit. The positioning circuit positions each sub-group in the area corresponding to each main group based on the relative position relationship between each sub-group of each main group.
    Type: Grant
    Filed: July 30, 2021
    Date of Patent: February 20, 2024
    Assignee: QUANTA COMPUTER INC.
    Inventors: Kai-Ju Cheng, Yu-Hsun Chen, Yu-Cheng Chien, Chin-Yuan Ting, Shao-Ang Chen
  • Patent number: 11842557
    Abstract: An assignment control apparatus includes an assignment device connected to multiple cameras and multiple specialized devices connected to the assignment device and each corresponding to one of preset multiple categories. The assignment device includes multiple determination units connected to the cameras one-to-one and each configured to determine the category of image data received from the camera to which the determination unit is connected, the category being one of the categories, and to output the image data along with category data indicating the determined category. The assignment device also includes an assignment unit configured to output the image data outputted from each specialized device to the specialized device corresponding to the category indicated by the category data outputted along with the image data.
    Type: Grant
    Filed: November 8, 2020
    Date of Patent: December 12, 2023
    Assignee: POSITIVE ONE CORPORATION
    Inventor: Shoichi Kudo
  • Patent number: 11822596
    Abstract: In an example implementation according to aspects of the present disclosure, a system, method, and storage medium for processing digital image file metadata characteristics. The system includes a processor and memory. The processor executes machine readable instructions to receive a set of digital image files from a first client application. The processor extracts a set of metadata from the set of digital image files. The processor identifies a set of common characteristics within the set of metadata. The processor groups the set of digital image files based on the set of common characteristics. The processor evaluates an association between the set of common characteristics and a second user. Responsive to the evaluation, the processor sends the grouped set of digital image files to a second client application.
    Type: Grant
    Filed: April 30, 2021
    Date of Patent: November 21, 2023
    Assignee: Hewlett-Packard Development Company, L.P.
    Inventor: Rafael Dal Zotto
  • Patent number: 11798294
    Abstract: Provided are a video data acquisition unit that acquires video data; a parking detection unit that detects whether the vehicle is parked; a moving body detection unit that detects a moving body from video data while the vehicle is parked; an acceleration detection unit that detects acceleration applied to the vehicle; a parking position determination unit that determines whether the vehicle is parked at a location where people or vehicles often pass close to the vehicle, based on position information of the vehicle; and a recording function control unit that selectively performs a process of storing video data based on detection of a moving body by the moving body detection unit, and a process of storing video data based on acceleration detected by the acceleration detection unit, according to a determination result of the parking position determination unit.
    Type: Grant
    Filed: August 21, 2020
    Date of Patent: October 24, 2023
    Assignee: JVCKENWOOD Corporation
    Inventor: Kiyofumi Tabata
  • Patent number: 11775618
    Abstract: Provided are an image processing device, an image processing method, and an image processing program that can decide a user image that is similar to a plurality of model images and that follows a flow of the plurality of model images. Combinations of (I2) and (P3), (I51) and (P21), (I150) and (P49), (I198) and (P79), (I201) and (P30), (I249) and (P99), (I300) and (P101), and (I301) and (P112) in which similarities between the model images and the user images are equal to or more than a first threshold value are detected. The combination of (I201) and (P30) in which a relative time difference of the imaging time is equal to or more than a second threshold value is eliminated, and the rest combinations are second combinations. From among the second combinations, a model image group and a user image group, which are a collection of similar images, are decided, and the user images similar to the model images attached on a model album are decided from the user image group.
    Type: Grant
    Filed: September 9, 2021
    Date of Patent: October 3, 2023
    Assignee: FUJIFILM Corporation
    Inventor: Yukinori Noguchi
  • Patent number: 11776236
    Abstract: The system and method are directed to a prototypical contrastive learning (PCL). The PCL explicitly encodes the hierarchical semantic structure of the dataset into the learned embedding space and prevents the network from exploiting low-level cues for solving the unsupervised learning task. The PCL includes prototypes as the latent variables to help find the maximum-likelihood estimation of the network parameters in an expectation-maximization framework. The PCL iteratively performs an E-step for finding prototypes with clustering and M-step for optimizing the network on a contrastive loss.
    Type: Grant
    Filed: February 2, 2022
    Date of Patent: October 3, 2023
    Assignee: Salesforce.com, Inc.
    Inventors: Junnan Li, Chu Hong Hoi
  • Patent number: 11741372
    Abstract: Approaches to zero-shot learning include partitioning training data into first and second sets according to classes assigned to the training data, training a prediction module based on the first set to predict a cluster center based on a class label, training a correction module based on the second set and each of the class labels in the first set to generate a correction to a cluster center predicted by the prediction module, presenting a new class label for a new class to the prediction module to predict a new cluster center, presenting the new class label, the predicted new cluster center, and each of the class labels in the first set to the correction module to generate a correction for the predicted new cluster center, augmenting a classifier based on the corrected cluster center for the new class, and classifying input data into the new class using the classifier.
    Type: Grant
    Filed: August 9, 2021
    Date of Patent: August 29, 2023
    Assignee: salesforce.com, inc.
    Inventors: Lily Hu, Caiming Xiong, Richard Socher
  • Patent number: 11627383
    Abstract: Provided are an electronic device and an operation method thereof. The electronic device includes a memory that stores one or more instructions, and a processor that executes the one or more instructions stored in the memory, wherein the processor is configured to execute the one or more instructions to: divide original image data into a plurality of image sequences; determine a predetermined number of image sequences among the plurality of image sequences as an input image group, select one of the image sequences included in the input image group and add the selected image sequence to the highlight image group based on one or more image sequences pre-classified as a highlight image group, by using a trained model trained using an artificial intelligence algorithm; and generate summary image data extracted from the original image data, by using the image sequence included in the highlight image group.
    Type: Grant
    Filed: March 27, 2019
    Date of Patent: April 11, 2023
    Assignees: SAMSUNG ELECTRONICS CO., LTD., SEOUL NATIONAL UNIVERSITY R&DB FOUNDATION
    Inventors: Sunghyun Kim, Yongdeok Kim, Gunhee Kim, Joonil Na, Jinyoung Sung, Youngjae Yu, Sangho Lee
  • Patent number: 11604821
    Abstract: One or more embodiments of the disclosure include a character management system that determines and utilizes contextual meaning with regard to standardized image characters. In particular, the character management system determines contextual meaning with regard to standardized characters based on the manner in which the standardized characters are utilized in a repository of electronic documents. Moreover, the character management system can utilize the contextual meaning to search, recommend, analyze, and translate with regard to the use of standardized image characters.
    Type: Grant
    Filed: June 7, 2021
    Date of Patent: March 14, 2023
    Assignee: Meta Platforms, Inc.
    Inventors: Thomas Frederick Dimson, Bogdan State, Shankar Kalyanaraman, Hamdan Azhar
  • Patent number: 11593717
    Abstract: The method for classifying ambiguous objects, including: determining initial labels for an image set; determining N training sets from the initially-labelled image set; training M annotation models using the N training sets; determining secondary labels for each image of the image set using the M trained annotation models; and determining final labels for the image set based on the secondary labels. The method can optionally include training a runtime model using images from the image set labeled with the final labels; and optionally using the runtime model.
    Type: Grant
    Filed: March 29, 2021
    Date of Patent: February 28, 2023
    Assignee: June Life, Inc.
    Inventors: Nikhil Bhogal, Nishit Kumar, Jithendra Paruchuri
  • Patent number: 11574000
    Abstract: A method for automated routing of pictures taken on mobile electronic devices to a digital picture frame including a camera integrated with the frame, and a network connection module allowing the frame for direct contact and upload of photos from electronic devices or from photo collections of community members. The integrated camera is used to automatically determine an identity of a frame viewer and can capture gesture-based feedback. The displayed photos are automatically shown and/or changed according to the detected viewers. The photos can be filtered and cropped at the receiver side. Clustering photos by content is used to improve display and to respond to photo viewer desires.
    Type: Grant
    Filed: January 13, 2022
    Date of Patent: February 7, 2023
    Assignee: AURA HOME, INC.
    Inventors: Ophir Frieder, Abdur Chowdhury, Eric Jensen, Ben Cherry, Richard Sanford, Alek Kolcz
  • Patent number: 11544579
    Abstract: Systems and methods are provided for generating training data for a machine-learning classifier. A knowledge representation synthesized based on an object of interest is used to assign labels to content items. The labeled content items can be used as training data for training a machine learning classifier. The labeled content items can also be used as validation data for the classifier.
    Type: Grant
    Filed: November 23, 2016
    Date of Patent: January 3, 2023
    Assignee: Primal Fusion Inc.
    Inventors: Mathew Whitney Wilson, Ihab Ilyas, Peter J. Sweeney
  • Patent number: 11521402
    Abstract: Methods and systems for determining relevance for a new document are described. Existing documents that have a high probability of relevance can be chosen. A vocabulary of words in the existing documents can be built. Each word can be mapped into a vector such that each existing document can be represented by a sequence of vectors and each sentence and/or paragraph in each existing document can be represented by a subsequence of vectors including a subset of the sequence of vectors. Data augmentation can be applied changing an order of the subsequences in order to create additional documents represented by the subsequences. A deep neural network can be trained using the subsequences that represent the existing documents and the subsequences that represent additional documents. The new documents can be trained using a trained deep neural network. A relevant document can be output using the trained deep neural network.
    Type: Grant
    Filed: June 3, 2020
    Date of Patent: December 6, 2022
    Assignee: THE BOSTON CONSULTING GROUP, INC.
    Inventor: Emilio Alfredo Lapiello
  • Patent number: 11507772
    Abstract: A system and method for sequence extraction using screenshot images to generate a robotic process automation workflow is disclosed. The system and method include capturing a plurality of screenshots of steps performed by a user on an application using a processor, storing the screenshots in memory, determining action clusters from the captured screenshots by randomly clustering actions into an arbitrary predefined number of clusters, wherein screenshots of different variations of a same action is labeled in the clusters, extracting a sequence from the clusters, and discarding consequent events on the screen from the clusters, and generating an automated workflow based on the extracted sequences.
    Type: Grant
    Filed: October 2, 2019
    Date of Patent: November 22, 2022
    Assignee: UIPATH, INC.
    Inventors: Christian Berg, Shirin Feiz Disfani
  • Patent number: 11496710
    Abstract: An image display method applicable to a video conferencing system with a wide-angle webcam is disclosed. The wide-angle webcam is used to capture a panoramic image having an aspect ratio greater than or equal to 2:1. The method includes: framing multiple regions of interest (ROIs) according to the panoramic image, each ROI having at least one of attributes; selecting one from predetermined frame layouts as an output frame layout according to whether to insert a portion of the panoramic image and attributes, positions and the number of the ROIs; and inserting at least one of the portion of the panoramic image and the ROIs into corresponding windows in the output frame layout to form a composite frame according to the attributes of the ROIs.
    Type: Grant
    Filed: April 16, 2021
    Date of Patent: November 8, 2022
    Assignee: ASPEED TECHNOLOGY INC.
    Inventors: Chen-Wei Chou, Chien-Chou Yang
  • Patent number: 11481525
    Abstract: An apparatus that assists an survey of a crop cultivated in each of blocks obtained by dividing a field, comprising: an input unit configured to accept, for an survey executed for the crop, the input of identification information identifying at least one of the surveys, block information indicating the block where the survey has been executed, item information indicating an survey item, and measured values measured at survey positions; and a processing unit configured to cause a transition in the aggregating result to be displayed as a result of the survey, wherein the input unit further accepts the input of a user operation specifying part of the transition of a result of aggregating the input measured values; and of the measured values, the processing unit causes reliability information of the aggregating result of the part to be displayed.
    Type: Grant
    Filed: February 27, 2020
    Date of Patent: October 25, 2022
    Assignee: CANON KABUSHIKI KAISHA
    Inventor: Kentaro Saito
  • Patent number: 11436440
    Abstract: Provided is a method of DNN-based image processing by an imaging device. The method comprises obtaining, by the imaging device, at least one input image with a plurality of color channels, simultaneously extracting, by the imaging device, a semantic information from each of the color channels of the at least one input image and a color correlation information from each of the color channels of the at least one input image, and generating, by the imaging device, at least one output image based on the extracted semantic information and the extracted color correlation information.
    Type: Grant
    Filed: May 28, 2019
    Date of Patent: September 6, 2022
    Assignee: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Tej Pratap Gvsl, Vishal Keshav
  • Patent number: 11410461
    Abstract: A group to be authenticated in face authentication is efficiently registered in a system. An information processing system includes a face detection unit configured to detect a face from an image in which a plurality of faces of persons are shown, a determination unit configured to determine whether or not the face detected by the face detection unit satisfies a predetermined condition, and a registration information generation unit configured to generate registration information, the registration information being information in which a partial image of each of a plurality of faces that have been determined to satisfy the predetermined condition is associated with an identifier identifying a group to be authenticated in face authentication.
    Type: Grant
    Filed: December 2, 2019
    Date of Patent: August 9, 2022
    Assignee: NEC CORPORATION
    Inventor: Yuki Shimizu
  • Patent number: 11367205
    Abstract: Dense feature scale detection can be implemented using multiple convolutional neural networks trained on scale data to more accurately and efficiently match pixels between images. An input image can be used to generate multiple scaled images. The multiple scaled images are input into a feature net, which outputs feature data for the multiple scaled images. An attention net is used to generate an attention map from the input image. The attention map assigns emphasis as a soft distribution to different scales based on texture analysis. The feature data and the attention data can be combined through a multiplication process and then summed to generate dense features for comparison.
    Type: Grant
    Filed: December 19, 2019
    Date of Patent: June 21, 2022
    Assignee: Snap Inc.
    Inventors: Shenlong Wang, Linjie Luo, Ning Zhang, Jia Li
  • Patent number: 11361487
    Abstract: A method of creating an album. The method includes a setting step of setting a first condition for generating a first page included in a first album and a second condition for generating a second page included in a second album, and a creation step of creating the first album including the first page generated in accordance with the first condition and a common page common to the first album and the second album and creating the second album including the second page generated in accordance with the second condition and the common page. At the creation step, by performing control to make the same a total number of pages of the first album and a total number of pages of the second album, the first album and the second album having the same total number of pages are created.
    Type: Grant
    Filed: February 24, 2020
    Date of Patent: June 14, 2022
    Assignee: Canon Kabushiki Kaisha
    Inventors: Takayuki Yamada, Shinjiro Hori, Hiroyasu Kunieda
  • Patent number: 11361017
    Abstract: Techniques are described that exclude use of “stop-fingerprints” from media database formation and search query to an automatic content recognition (ACR) systems based on media content fingerprints updated by stop-fingerprint analysis. A classification process is presented which takes in fingerprints from reference media files as an input and produces a modified set of fingerprints as an output by applying a novel stop-fingerprint classification algorithm. Architecture for the distributed stop-fingerprint generation is presented. Various cases, as stop-fingerprints generation for the entire reference database, stop-fingerprints generation for the individual reference fingerprint files, and temporal fingerprint classification obtained through intermediate steps of the temporal fingerprint classification algorithm are presented. A hash-based signature classification algorithm is also described.
    Type: Grant
    Filed: July 15, 2020
    Date of Patent: June 14, 2022
    Assignee: Roku, Inc.
    Inventors: Sunil Suresh Kulkarni, Pradipkumar Dineshbhai Gajjar, Jose Pio Pereira, Preshant Ramanathan, Mihailo M. Stojancic, Shashank Merchant
  • Patent number: 11343429
    Abstract: The present disclosure provides systems and methods that use and/or generate image files according to a novel microvideo image format. For example, a microvideo can be a file that contains both a still image and a brief video. The microvideo can include multiple tracks, such as, for example, a separate video track, audio track, and/or one or more metadata tracks. As one example track, the microvideo can include a motion data track that stores motion data that can be used (e.g., at file runtime) to stabilize the video frames. A microvideo generation system included in an image capture device can determine a trimming of the video on-the-fly as the image capture device captures the microvideo.
    Type: Grant
    Filed: July 12, 2018
    Date of Patent: May 24, 2022
    Assignee: GOOGLE LLC
    Inventors: Wei Hong, Radford Ray Juang, Marius Renn
  • Patent number: 11328117
    Abstract: Dynamically changing a content based on a user-defined context includes receiving, by one or more processors, input data from a user, the input data includes at least one document with an annotated part identifying a first content element, the first content element is associated with a first content type. The one or more processors determine a context information associated with the annotated part and extract the annotated part. A first replacement for the first content element is retrieved from a first data source selected based on the content information. The one or more processors replace the first content element in the at least one document with the first replacement.
    Type: Grant
    Filed: May 17, 2020
    Date of Patent: May 10, 2022
    Assignee: International Business Machines Corporation
    Inventors: Stefany Santos-Greiner, Alecio Pedro Delazari Binotto
  • Patent number: 11329939
    Abstract: A method, computer program product and computer system to generate a spatial visualization of topics contained in messages data is provided. A processor retrieves message data associated with a user. A processor determines one or more topics represented by the message data. A processor generates a spatial visualization of one or more user interface elements, where the spatial visualization includes a size and a location for the one or more user interface elements. A processor displays one or more user interface elements corresponding to the one or more topics.
    Type: Grant
    Filed: June 26, 2017
    Date of Patent: May 10, 2022
    Assignee: International Business Machines Corporation
    Inventors: Xiao Xia Mao, Xin Feng, Ya Qing Chen, Wei Jun Zheng, Zhen Hong Ding, Chuan Le Zheng, Su Liu
  • Patent number: 11321880
    Abstract: [Object] There is provided a mechanism that makes it possible to efficiently specify an important region of a moving image including a dynamic content. [Solution] An information processor including a control unit that recognizes a motion of an operator with respect to an operation target in a moving image and specifies an important region of the operation target in the moving image on a basis of an operation position of the operator.
    Type: Grant
    Filed: September 28, 2018
    Date of Patent: May 3, 2022
    Assignee: SONY CORPORATION
    Inventor: Shogo Takanashi
  • Patent number: 11323402
    Abstract: A method, computer program product and computer system to generate a spatial visualization of topics contained in messages data is provided. A processor retrieves message data associated with a user. A processor determines one or more topics represented by the message data. A processor generates a spatial visualization of one or more user interface elements, where the spatial visualization includes a size and a location for the one or more user interface elements. A processor displays one or more user interface elements corresponding to the one or more topics.
    Type: Grant
    Filed: October 27, 2017
    Date of Patent: May 3, 2022
    Assignee: International Business Machines Corporation
    Inventors: Xiao Xia Mao, Xin Feng, Ya Qing Chen, Wei Jun Zheng, Zhen Hong Ding, Chuan Le Zheng, Su Liu
  • Patent number: 11281858
    Abstract: A computer implemented method of document classification includes receiving a text document. A first classification is generated for the document, and a text corpus is searched for one or more terms from the document. Searched terms having an incidence in the text corpus lower than a threshold incidence are flagged, and at least one classification is generated after removing at least one flagged term from the document. An output is generated if the further classification is different from the first classification.
    Type: Grant
    Filed: July 13, 2021
    Date of Patent: March 22, 2022
    Inventors: Igal Mazor, Yaron Ismah-Moshe
  • Patent number: 11199839
    Abstract: Described is a system for online vehicle recognition in an autonomous driving environment. Using a learning network comprising an unsupervised learning component and a supervised learning component, images of moving vehicles extracted from videos captured in the autonomous driving environment are learned and classified. Vehicle feature data is extracted from input moving vehicle images. The extracted vehicle feature data is clustered into different vehicle classes using the unsupervised learning component. Vehicle class labels for the different vehicle classes are generated using the supervised learning component. Based on a vehicle class label for a moving vehicle in the autonomous driving environment, the system selects an action to be performed by the autonomous vehicle, and causes the selected action to be performed by the autonomous vehicle in the autonomous driving environment.
    Type: Grant
    Filed: July 23, 2019
    Date of Patent: December 14, 2021
    Assignee: HRL Laboratories, LLC
    Inventors: Qin Jiang, Youngkwan Cho, Nigel D. Stepp, Steven W. Skorheim, Vincent De Sapio, Praveen K. Pilly, Ruggero Scorcioni
  • Patent number: 11195442
    Abstract: An object is to provide a technique capable of reducing an inter-SoC communication volume. The screen generation device includes a first SoC, a second SoC, and an allocation unit. The allocation unit defines a plurality of superposition sequence layers having a superposition sequence and selected from the plurality of first drawing layers and the plurality of second drawing layers, allocates, among the plurality of superposition sequence layers, a consecutive superposition sequence layer cluster being consecutive two or more superposition sequence layers in the superposition sequence, to the first SoC, and allocates remaining superposition sequence layers being one or more superposition sequence layers other than the consecutive superposition sequence layer cluster to the second SoC.
    Type: Grant
    Filed: July 19, 2018
    Date of Patent: December 7, 2021
    Assignee: MITSUBISHI ELECTRIC CORPORATION
    Inventor: Junya Ujiie
  • Patent number: 11190410
    Abstract: A proactive operations (ProOps) platform is contemplated to facilitate processing data for purposes of turning included information into action, such as to enable operators to proactively manage network operations using information derived from mathematical analysis of raw data collected from network devices.
    Type: Grant
    Filed: July 16, 2019
    Date of Patent: November 30, 2021
    Assignee: Cable Television Laboratories, Inc.
    Inventors: Jason W. Rupe, John Phillips, Jingjie Zhu, Chad Riland
  • Patent number: 11188717
    Abstract: Technologies are provided for determining deficiencies in narrative textual data that may impact decision-making in a decisional context. A candidate text document and a reference corpus of text may be utilized to generate one or more topic models and document-term matrices, and then to determine a corresponding statistical perplexity and probabilistic coherence. The reference corpus may be known or normatively deemed to be epistemically persuasive and adequate with respect to a particular context. Statistical determinations of a degree to which the candidate deviates from the reference normative corpus are determined, in terms of the statistical perplexity and probabilistic coherence of the candidate as compared to the reference.
    Type: Grant
    Filed: September 18, 2019
    Date of Patent: November 30, 2021
    Inventor: Douglas S. McNair
  • Patent number: 11151293
    Abstract: A method and system for analyzing data based on a statistical model, wherein the statistical model is used in one or more contexts without needing intervention of data scientists. This statistical model is parameterized and uploaded in an analytics platform. Parameterizing the statistical model enables end users to select scope, constraints and variables of data analysis. Acceptance indicator of this tool indicates reliability of the model on user selected scope, constraints and variables. Based on user selections, a dynamic table is created which is an input to the statistical model for data analysis. Based on values of this dynamic table, data analysis is performed on stored data on the specific context. The report id generated based on the data analysis which is presented to user as visual output.
    Type: Grant
    Filed: March 21, 2018
    Date of Patent: October 19, 2021
    Assignee: INFOSYS LIMITED
    Inventor: Subhashis Nath
  • Patent number: 11113618
    Abstract: Techniques are disclosed for detecting the bounds of borderless open tables in fixed-format structured documents, such as PDF documents, and grouping text lines into predicted borderless tables. The target document comprises a set of text lines each having a respective vertical and horizontal position in the target document. A sorted list of the text lines is generated based upon a vertical and horizontal position of each text line in the target document. For each text line in the sorted list, a respective probability that the text line in the sorted list belongs to a borderless table is then determined. According to one embodiment, the probability may be determined using a classifier that may employ a logistic regression algorithm.
    Type: Grant
    Filed: May 22, 2019
    Date of Patent: September 7, 2021
    Assignee: Adobe Inc.
    Inventors: Ram Bhushan Agrawal, Himanshu Mittal
  • Patent number: 11092968
    Abstract: An automatic guided vehicle (AGV) comprising a mobile base including a drive train and configured to drive the AGV in a self-navigation mode within a facility, a first camera configured to capture first image data of objects within the facility, a second camera configured to capture second image data of objects within the facility, the second camera including a content filter, and a main control module configured to receive the first and second image data from the first and second cameras. The main control module executes a recognition neural network program. The neural network program recognizes targets in the first image data. The main control module also executes a supervisor program under user control. The supervisor program is receives the second image data and recognizes markers attached to targets in the second image data. The supervisor program produces a supervised outcome in which targets to which markers are attached are associated with categories based on user commands.
    Type: Grant
    Filed: November 15, 2018
    Date of Patent: August 17, 2021
    Assignee: Lingdong Technology (Beijing) Co. LTD
    Inventors: Chiung Lin Chen, Meng Yao
  • Patent number: 11080568
    Abstract: Example embodiments described herein therefore relate to an object-model based event detection system that comprises a plurality of sensor devices, to perform operations that include: generating sensor data at the plurality of sensor devices; accessing the sensor data generated by the plurality of sensor devices; detecting an event, or precursor to an event, based on the sensor data, wherein the detected event corresponds to an event category; accessing an object model associated with the event type in response to detecting the event, wherein the object model defines a procedure to be applied by the event detection system to the sensor data; and streaming at least a portion of a plurality of data streams generated by the plurality of sensor devices to a server system based on the procedure, wherein the server system may perform further analysis or visualization based on the portion of the plurality of data streams.
    Type: Grant
    Filed: April 26, 2019
    Date of Patent: August 3, 2021
    Assignee: Samsara Inc.
    Inventors: Saleh ElHattab, Justin Joel Delegard, Bodecker John DellaMaria, Brian Tuan, Jennifer Winnie Leung, Sylvie Lee, Jesse Michael Chen
  • Patent number: 11069380
    Abstract: Video and corresponding metadata is accessed. Events of interest within the video are identified based on the corresponding metadata, and best scenes are identified based on the identified events of interest. A video summary can be generated including one or more of the identified best scenes. The video summary can be generated using a video summary template with slots corresponding to video clips selected from among sets of candidate video clips. Best scenes can also be identified by receiving an indication of an event of interest within video from a user during the capture of the video. Metadata patterns representing activities identified within video clips can be identified within other videos, which can subsequently be associated with the identified activities.
    Type: Grant
    Filed: April 12, 2019
    Date of Patent: July 20, 2021
    Assignee: GOPRO, INC.
    Inventors: David A. Newman, Adam Silver
  • Patent number: 11055536
    Abstract: A video feature extraction method and device are provided. The method includes extracting one or more frames from a video object to obtain one or more frames of images, obtaining one or more shift vectors for each of the one or more frames of images, using each of the one or more shift vectors, taking any pixel in each of the one or more frames of images as a starting point, determining a terminal point directed by the one or more shift vectors from the starting point, and determining an image feature of the one or more frames of images according to a difference between the starting point and the terminal point, and determining a video feature of the video object according to the image feature of the one or more frames of images.
    Type: Grant
    Filed: December 29, 2018
    Date of Patent: July 6, 2021
    Assignee: Beijing Bytedance Network Technology Co., Ltd.
    Inventors: Yi He, Lei Li, Cheng Yang, Gen Li, Yitan Li
  • Patent number: 11050649
    Abstract: A method of delay measurement of a network node device is disclosed. The method includes obtaining a node delay value of a current packet when a preset time period starts. The method further includes determining, based on M+1 boundary values of preset M delay intervals, a delay interval in which the node delay value is located, and adding 1 to a value of a delay segment counter corresponding to the delay interval in which the node delay value is located, where M>1, M is a positive integer. The method further includes obtaining a node delay value of a next packet until the preset time period ends. The method further includes determining a cumulative probability Pacc.j that is greater than or equal to a target probability, and obtaining, as a delay threshold, a node delay value having the target probability.
    Type: Grant
    Filed: June 5, 2019
    Date of Patent: June 29, 2021
    Assignee: HUAWEI TECHNOLOGIES CO., LTD.
    Inventors: Xiquan Zhang, Jianmin Song, Jiahong Wei
  • Patent number: 11044445
    Abstract: One variation of a method for monitoring occupancy in a work area includes, at a sensor block: transitioning from an inactive state into an active state when an output of a motion sensor indicates motion in a work area; during a scan cycle in the active state, recording an image through an optical sensor at a time, detecting a set of humans in the image, detecting a second set of human effects in the image, predicting a second set of humans occupying but absent the work area based on the second set of human effects, and estimating a total occupancy in the work area at the time based on the set of humans and the second set of humans; and transmitting the total occupancy to a remote computer system for update of a scheduler for the work area.
    Type: Grant
    Filed: March 24, 2020
    Date of Patent: June 22, 2021
    Assignee: VergeSense, Inc.
    Inventors: Dan Ryan, Kelby Green
  • Patent number: 11024019
    Abstract: A computer-implemented method for ascertaining a need for predictive maintenance for a microscope system. A microscope system, which an image sensor for recording digital images of a sample, recording digital images during regular operation of the microscope system, and providing a digital image as an input data set to an image analysis system, is provided. At least one feature relating to a malfunction of the microscope system during regular operation is determined, a status signal is produced, and a component group of the microscope system for which a maintenance procedure is necessary is determined.
    Type: Grant
    Filed: December 19, 2019
    Date of Patent: June 1, 2021
    Assignee: CARL ZEISS MICROSCOPY GMBH
    Inventors: Manuel Amthor, Daniel Haase, Ralf Wolleschensky
  • Patent number: 11023786
    Abstract: A device control apparatus includes an imaging unit configured to capture an image of an occupant in a vehicle, a first recognition unit configured to recognize a posture of the occupant based on the image captured by the imaging unit, a second recognition unit configured to recognize a state of a hand including at least a shape of the hand of the occupant based on the image captured by the imaging unit, a discrimination processing unit configured to specify a device to be controlled and an operation to be executed based on the posture of the occupant recognized by the first recognition unit and the state of the hand recognized by the second recognition unit, and a controller configured to issue a control command corresponding to the specified device to be controlled and the specified operation to be executed.
    Type: Grant
    Filed: July 2, 2019
    Date of Patent: June 1, 2021
    Assignee: TOYOTA JIDOSHA KABUSHIKI KAISHA
    Inventor: Daisuke Hiroki
  • Patent number: 11017315
    Abstract: A method includes training a prediction model to forecast a likelihood of curtailment for at least one wind turbine. The prediction model is trained, by a processor system, using historical information and historical instances of curtailment. The method also includes forecasting the likelihood of curtailment for the at least one wind turbine using the trained prediction model. The method also includes outputting the forecasted likelihood.
    Type: Grant
    Filed: March 22, 2017
    Date of Patent: May 25, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Younghun Kim, Srivats Shukla, Lloyd A. Treinish
  • Patent number: 10963446
    Abstract: The present disclosure is directed toward systems and methods that provide users with efficient and effective user experiences when browsing, selecting, or inspecting content items. More specifically, systems and methods described herein provide users the ability to easily and effectively select multiple content items via a single touch gesture (e.g., swipe gesture). Additionally, systems and methods disclosed herein can allow users to select various content items in a selection interface, preview a content item, and return to the selection interface with the previous selections remaining intact. Still further, systems and methods described herein allow users to transition between a content graphical user interface and a selection interface based on touch gestures with content items. Embodiments of the present invention further provide improved navigability by collapsing views of content items.
    Type: Grant
    Filed: July 31, 2018
    Date of Patent: March 30, 2021
    Assignee: DROPBOX, INC.
    Inventors: Stephan Jätzold, Daniel Wagner