Patents Examined by Ruiping Li
  • Patent number: 11216690
    Abstract: A system is provided for performing image processing. During operation, the system can obtain a video stream of a target object, and obtain, from the video stream, a plurality of images ranked according to a first sequence. The target object can be, e.g., a damage vehicle. The system can then extract a set of feature vectors corresponding to the plurality of images. The system may sequentially provide the set of feature vectors to a trained damage assessment image judgment model. Next, the system can apply the trained damage assessment image judgment model to determine whether each image in the plurality of images corresponds to a damage assessment image.
    Type: Grant
    Filed: August 29, 2019
    Date of Patent: January 4, 2022
    Assignee: Alibaba Group Holding Limited
    Inventors: Xin Guo, Yuan Cheng, Jun Huang
  • Patent number: 11195283
    Abstract: Implementations described herein relate to methods, systems, and computer-readable media to render a foreground video. In some implementations, a method includes receiving a plurality of video frames that include depth data and color data. The method further includes downsampling the frames of the video. The method further includes, for each frame, generating an initial segmentation mask that categorizes each pixel of the frame as foreground pixel or background pixel. The method further includes determining a trimap that classifies each pixel of the frame as known background, known foreground, or unknown. The method further includes, for each pixel that is classified as unknown, calculating and storing a weight in a weight map. The method further includes performing fine segmentation to obtain a binary mask for each frame. The method further includes upsampling the plurality of frames based on the binary mask for each frame to obtain a foreground video.
    Type: Grant
    Filed: July 15, 2019
    Date of Patent: December 7, 2021
    Assignee: Google LLC
    Inventors: Guangyu Zhou, Qiang Chen, Niklas Enbom
  • Patent number: 11194989
    Abstract: An electronic apparatus is provided. The electronic device includes a display, a fingerprint sensor disposed under the display, and a processor electrically connected with the display and the fingerprint sensor. The processor is configured to set a fingerprint sensing region at a location, which corresponds to a location where the fingerprint sensor is disposed, on the display if the electronic apparatus enters a state for registering a fingerprint of a finger, to display a first guide on the display such that the first guide at least partly overlaps the fingerprint sensing region, to obtain first fingerprint information through the fingerprint sensing region if the finger touches the first guide, to display a second guide on the display such that the second guide at least partly overlaps the fingerprint sensing region, and to obtain second fingerprint information through the fingerprint sensing region if the finger touches the second guide.
    Type: Grant
    Filed: November 13, 2019
    Date of Patent: December 7, 2021
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: Hee Kuk Lee, Dae Kyu Shin, Hyeong Wook Yang, Yu Min Jung, Pil Joo Yoon, Hae Dong Lee
  • Patent number: 11188786
    Abstract: A sensor data processing system and method is described. Contemplated systems and methods derive a first recognition trait of an object from a first data set that represents the object in a first environmental state. A second recognition trait of the object is then derived from a second data set that represents the object in a second environmental state. The sensor data processing systems and methods then identifies a mapping of elements of the first and second recognition traits in a new representation space. The mapping of elements satisfies a variance criterion for corresponding elements, which allows the mapping to be used for object recognition. The sensor data processing systems and methods described herein provide new object recognition techniques that are computationally efficient and can be performed in real-time by the mobile phone technology that is currently available.
    Type: Grant
    Filed: August 12, 2019
    Date of Patent: November 30, 2021
    Assignee: Nant Holdings IP, LLC
    Inventors: Kamil Wnuk, Jeremi Sudol, Bing Song, Matheen Siddiqui, David McKinnon
  • Patent number: 11185231
    Abstract: Intelligent multi-scale image parsing determines the optimal size of each observation by an artificial agent at a given point in time while searching for the anatomical landmark. The artificial agent begins searching image data with a coarse field-of-view and iteratively decreases the field-of-view to locate the anatomical landmark. After searching at a coarse field-of view, the artificial agent increases resolution to a finer field-of-view to analyze context and appearance factors to converge on the anatomical landmark. The artificial agent determines applicable context and appearance factors at each effective scale.
    Type: Grant
    Filed: March 25, 2020
    Date of Patent: November 30, 2021
    Assignee: Siemens Healthcare GmbH
    Inventors: Bogdan Georgescu, Florin Cristian Ghesu, Yefeng Zheng, Dominik Neumann, Tommaso Mansi, Dorin Comaniciu, Wen Liu, Shaohua Kevin Zhou
  • Patent number: 11182912
    Abstract: A method of registering images by adjusting a distribution of spatial frequencies of correlation between spatial frequency functions of images, a number of images being N, where N being an integer equal to or larger than two, and determining at least one shift between the images using the frequency distribution adjusted correlation.
    Type: Grant
    Filed: May 30, 2019
    Date of Patent: November 23, 2021
    Assignee: VISIDON OY
    Inventors: Matti Niskanen, Subingqian Hu
  • Patent number: 11170269
    Abstract: A computer-implemented method according to one embodiment includes classifying an image stored on a device as a type of image. A user's access pattern of other images also classified as the type of image is analyzed. The method further includes analyzing at least one sharing medium that the user has previously used to share the image and/or other images. The analyzing the at least one medium is at least in part based on the classified type of the image. A previously recorded delete pattern of the user is analyzed. The analyzing the previously recorded delete pattern of the user is at least in part based on the classified type of the image. Based on the classified type of the image and/or based on results of the analyses, the image is categorized to one of a plurality of image compression categories. Each category corresponds to a degree of image compression.
    Type: Grant
    Filed: December 12, 2018
    Date of Patent: November 9, 2021
    Assignee: International Business Machines Corporation
    Inventors: Deepak Ghuge, Abhishek Jain, Subhojit Roy, Sasikanth Eda, Manojkiran Eda
  • Patent number: 11157742
    Abstract: Methods and systems for image clustering are described, and include determining a plurality of images from a video of a game, the video captured by a camera on a mobile device, where at least one image of the plurality of images is segmented from a video frame of the video; determining a feature vector from the at least one image; dividing the images into a first subset and a second subset based on the feature vector; tagging a first player in a first image of the first subset with an identifier, where the identifier differentiates the images in the first subset to a plurality of players; and identifying a second player in a second image in the second subset by propagating the identifier of the first subset, based on a distance measure associated with the feature vector. Running on a mobile computing device, this invention allows multiplayer tagging to be easily performed in almost any environment.
    Type: Grant
    Filed: September 1, 2020
    Date of Patent: October 26, 2021
    Assignee: NEX Team Inc.
    Inventors: Qi Zhang, Ian Smith, Long Mak, Keng Fai Lee, Wing Hung Chan
  • Patent number: 11157557
    Abstract: An example method for searching and ranking personalized videos commence with receiving a user request via a communication chat between a user and another user. The user request includes a phrase or emoji. The method performs, based on the user request, a search of a pool of personalized videos to determine a subset of relevant personalized videos. The personalized videos are associated with text messages. The method further includes determining first rankings of the relevant personalized videos. The method then proceed with selecting, based on the first rankings, a pre-determined number of personalized videos from the subset of relevant personalized videos. The method then determines second rankings of the selected personalized videos and present the selected personalized videos within the communication chat in an order based on the second rankings. The personalized videos of the first subpool and the personalized videos of the second subpool are ranked independently.
    Type: Grant
    Filed: October 30, 2019
    Date of Patent: October 26, 2021
    Assignee: Snap Inc.
    Inventors: Alexander Mashrabov, Evgenii Krokhalev, Sofia Savinova, Ivan Babanin, Ivan Belonogov
  • Patent number: 11145045
    Abstract: An image processing method is performed by a computer, for determining that a line is a crack or something other than the crack. The method includes: extracting a linear region from an image of an object captured by an imaging apparatus; determining a luminosity change in a direction traversing the linear region at each of a plurality of positions separate in a longitudinal direction of the linear region; and identifying a type of the linear region based on the luminosity changes at the plurality of positions.
    Type: Grant
    Filed: May 20, 2019
    Date of Patent: October 12, 2021
    Assignee: FUJITSU LIMITED
    Inventors: Yusuke Nakanishi, Hideyuki Kikuchi, Koichi Oikawa
  • Patent number: 11138470
    Abstract: Systems, methods, and computer readable media related to training and/or using a neural network model. The trained neural network model can be utilized to generate (e.g., over a hidden layer) a spectral image based on a regular image, and to generate output indicative of one or more features present in the generated spectral image (and present in the regular image since the spectral image is generated based on the regular image). As one example, a regular image may be applied as input to the trained neural network model, a spectral image generated over multiple layers of the trained neural network model based on the regular image, and output generated over a plurality of additional layers based on the spectral image. The generated output may be indicative of various features, depending on the training of the additional layers of the trained neural network model.
    Type: Grant
    Filed: May 8, 2019
    Date of Patent: October 5, 2021
    Assignee: GOOGLE LLC
    Inventor: Alexander Gorban
  • Patent number: 11113575
    Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for automatic image selection for online product catalogs. An image selection system gathers feature data for images of an item included in listings posted to an online marketplace. The image selection system uses the feature data as input in a machine learning model to determine probability scores indicating an estimated probability that each image is suitable to represent the item. The machine learning model is trained based on a set of training images of the item that have been labeled to indicate whether they are suitable to represent the image. The image selection system compares the probability scores and selects an image to represent the item as a stock image based on the comparison.
    Type: Grant
    Filed: September 10, 2019
    Date of Patent: September 7, 2021
    Assignee: eBay Inc.
    Inventors: Arnon Dagan, Ido Guy, Alexander Nus, Raphael Bryl, Noa Shimoni Barzilai, Avinoam Omer, Yan Radovilsky, Einav Itamar, Gadi Mikles
  • Patent number: 11113789
    Abstract: The invention concerns a method and a device for digital image restoration. The digital image to be restored comes from an initial image acquired by an image acquisition device having an associated acquisition instrumental noise. The method comprises the following steps: —obtaining (30) an intermediate digital image with restoration of the acquisition instrumental noise, —denoising (32) the intermediate digital image in order to obtain a denoised intermediate digital image, —deconvolution (34) of the denoised digital image in order to obtain a restored digital image.
    Type: Grant
    Filed: November 3, 2017
    Date of Patent: September 7, 2021
    Assignee: CENTRE NATIONAL D'ÉTUDES SPATIALES
    Inventors: Gwendoline Blanchet, Jean-Marc Delvit, Christophe Latry, Carole Thiebaut, Roberto Camarero
  • Patent number: 11114086
    Abstract: Provided are systems and methods for text and audio-based real-time face reenactment. An example method includes receiving an input text and a target image, the target image including a target face; generating, based on the input text, a sequence of sets of acoustic features representing the input text; determining, based on the sequence of sets of acoustic features, a sequence of sets of scenario data indicating modifications of the target face for pronouncing the input text; generating, based on the sequence of sets of scenario data, a sequence of frames, wherein each of the frames includes the target face modified based on at least one of the sets of scenario data; generating, based on the sequence of frames, an output video; and synthesizing, based on the sequence of sets of acoustic features, an audio data and adding the audio data to the output video.
    Type: Grant
    Filed: July 11, 2019
    Date of Patent: September 7, 2021
    Assignee: Snap Inc.
    Inventors: Pavel Savchenkov, Maxim Lukin, Aleksandr Mashrabov
  • Patent number: 11106895
    Abstract: A video alert and secondary confirmation system and method for detecting and verifying a person of interest is disclosed. The system and method include selecting an access way for detecting persons of interest. Independent video cameras are placed along the access way and have varying thresholds for identifying persons on a wanted list. Video alert modules operate in tandem with overlapping fields of view at a high threshold matching level. Each video camera is linked to a video alert module. Faces that are above a set threshold are displayed on a video alert module. A determination of match or no match is made. If a match appears to be made, a security team will be alerted to approach the individual who is an apparent match and take a closeup photograph that is analyzed to verify the match through a secondary confirmation.
    Type: Grant
    Filed: July 15, 2020
    Date of Patent: August 31, 2021
    Inventors: Robert William Kocher, Douglas Earl Dyer
  • Patent number: 11100517
    Abstract: Apparatuses and methods associated with preserving authentication under item change are disclosed herein. In embodiments, acquiring digital image data of an image of at least a portion of a target physical object; extracting features from the image data to form a digital fingerprint; querying the database system to seek a matching record based on the digital fingerprint; based on an amount of difference between the digital fingerprint and a stored digital fingerprint of the database, update the database system to output a new indication of a new match to the physical object for any new samples that are not matchable to the stored digital fingerprint within a first predetermined similarity threshold provided the new samples are matchable to the digital fingerprint within a second predetermined similarity threshold. Other embodiments may be disclosed or claimed.
    Type: Grant
    Filed: June 4, 2019
    Date of Patent: August 24, 2021
    Assignee: Alitheon, Inc.
    Inventors: David Justin Ross, Justin Lynn Withrow, Scot E. Land, David Keesu Kim, Mark Tocci, Robert Saxon Ross
  • Patent number: 11100430
    Abstract: A system for predicting alimentary element ordering based on biological extraction, the system comprising a computing device configured to receive a biological extraction and alimentary element order chronicle of a user, retrieve an alimentary profile, identify, using the alimentary profile and a predictive machine-learning process, a predicted alimentary element and an alternative alimentary element, determine, using the predictive machine-learning process and the alimentary profile, the predicted alimentary element, select, using the predicted alimentary element, the alternative alimentary element, create a classifier, using a classification machine-learning process as a function of a plurality of alimentary element metrics, generate a plurality of related alimentary elements as a function of the classifier, rank the related alimentary elements as a function of the biological extraction, select the alternative alimentary element as a function of the ranking, and present the predicted alimentary element and
    Type: Grant
    Filed: November 3, 2020
    Date of Patent: August 24, 2021
    Assignee: KPN INNOVATIONS, LLC.
    Inventor: Kenneth Neumann
  • Patent number: 11087172
    Abstract: Training images can be synthesized in order to obtain enough data to train a model (e.g., a neural network) to recognize various classifications of a type of object. Images can be synthesized by blending images of objects labeled using those classifications into selected background images. To improve results, one or more operations are performed to determine whether the synthesized images can still be used as training data, such as by verifying one or more objects of interested represented in those images is not occluded, or at least satisfies a threshold level of acceptance. The training images can be used with real world images to train the model.
    Type: Grant
    Filed: December 31, 2020
    Date of Patent: August 10, 2021
    Assignee: Plus One Robotics, Inc.
    Inventors: Jonathan Lwowski, Abhijit Majumdar
  • Patent number: 11044843
    Abstract: A method of analyzing seeds including acquiring, using an X-ray machine, X-ray images of the seeds. Analyzing the X-ray images to determine a parameter of each of the seeds. Comparing a parameter determined from analyzing the X-ray image of one seed to a parameter determined from analyzing the X-ray image of another seed. Arranging the seeds relative to each other based on the seed parameters.
    Type: Grant
    Filed: February 8, 2019
    Date of Patent: June 29, 2021
    Assignee: Monsanto Technology LLC
    Inventors: Johnny J. Kotyk, Hsin-Chen Chen
  • Patent number: 11042760
    Abstract: The present application provides a mobile robot, a control method and control system of the mobile robot. The control method comprises the following steps: acquiring a depth image obtained through photography of the at least one image acquisition device; wherein, the depth image contains a depth image of the target obstacle; identifying an obstacle type of the target obstacle from the depth image; controlling a navigation movement and/or behavior of the mobile robot based on an acquired positional relationship between the target obstacle and the mobile robot, and the identified obstacle type. In the present application, the type of the target obstacle can be detected effectively, and the behavior of the mobile robot can be controlled based on the detection result correspondingly.
    Type: Grant
    Filed: May 29, 2020
    Date of Patent: June 22, 2021
    Assignee: ANKOBOT (SHANGHAI) SMART TECHNOLOGIES CO., LTD.
    Inventors: Yuwei Cui, Chongxing Li