Patents Examined by Iman K Kholdebarin
  • Patent number: 10743829
    Abstract: A computer-implemented method for determining and evaluating an objective tumor response to an anti-cancer therapy using cross-sectional images can include receiving cross-sectional images of digital medical image data and identifying target lesions within the cross-sectional images. For each of the target lesions, a target lesion type and anatomical location is identified, a segmenting tool is activated for segmenting the target lesions into regions of interest, lesion metrics are automatically extracted from the regions of interest according to tumor response criteria, and conformity of target lesion identification is monitored using rules associated with the tumor response criteria, prompting a user to address any nonconforming target lesion. The method also includes receiving a presence/absence of metastases, determining changes in lesions metrics, and deriving an objective tumor response based on the tumor response criteria.
    Type: Grant
    Filed: July 29, 2019
    Date of Patent: August 18, 2020
    Assignee: AI METRICS, LLC
    Inventor: Andrew Dennis Smith
  • Patent number: 10746543
    Abstract: Disclosed are an apparatus for measuring distance using two-step tracking and a method thereof. More particularly, the apparatus includes a bit generator configured to generate coarse bits for first tracking from sensing data to measure distance to a target and fine bits for second tracking, corresponding to the coarse bits, to measure precise distance to the target; a coarse bit processor configured to receive the coarse bits, address the received coarse bits in any one histogram bin, which corresponds to the received coarse bits, among a plurality of histogram bins, and output coarse bits, which correspond to any one histogram bin exceeding a preset threshold among the histogram bins, as reference coarse bits; and a fine bit processor configured to output fine bits corresponding to the reference coarse bits.
    Type: Grant
    Filed: August 8, 2018
    Date of Patent: August 18, 2020
    Assignee: INDUSTRY-ACADEMIC COOPERATION FOUNDATION, YONSEI UNIVERSITY
    Inventors: Seong Ook Jung, Jung Hyun Park, Jong Ha Park
  • Patent number: 10719694
    Abstract: In real biometric systems, false match rates and false non-match rates of 0% do not exist. There is always some probability that a purported match is false, and that a genuine match is not identified. The performance of biometric systems is often expressed in part in terms of their false match rate and false non-match rate, with the equal error rate being when the two are equal. There is a tradeoff between the FMR and FNMR in biometric systems which can be adjusted by changing a matching threshold. This matching threshold can be automatically, dynamically and/or user adjusted so that a biometric system of interest can achieve a desired FMR and FNMR.
    Type: Grant
    Filed: August 19, 2019
    Date of Patent: July 21, 2020
    Assignee: AWARE, INC.
    Inventor: David Benini
  • Patent number: 10719547
    Abstract: An image retrieval assist device that is communicably connected to an investigation assist device for recording captured images of cameras installed at a plurality of intersections respectively in correlation with camera information and intersection information. The image retrieval assist device has a processor, a communication unit; and a storage that stores an extraction condition of an image for each type of event that has occurred at the intersection, the image indicating a situation at a time of occurrence of the event. The processor accepts an input of event information including the type of event. The processor generates an image retrieval key including the extraction condition according to the input event information. The communication unit transmits the generated image retrieval key to the investigation assist device.
    Type: Grant
    Filed: February 14, 2018
    Date of Patent: July 21, 2020
    Assignee: Panasonic i-PRO Sensing Solutions Co., Ltd.
    Inventors: Hideyuki Yoshida, Mikio Morioka
  • Patent number: 10713533
    Abstract: Provided are neural network-based image processing method and apparatus, and a computer-readable storage medium. The image processing method includes: inputting an image into an optimized neural network; extracting, by the optimized neural network, image features of the image; and outputting the image features, wherein the optimized neural network is obtained by performing a first optimization process on at least one sub-layer in a pre-trained initial neural network, each sub-layer of the at least one sub-layer includes a convolutional layer, and the first optimization process comprises: for each sub-layer of the at least one sub-layer, determining one or more channels to be removed from a filter of the convolutional layer and removing said one or more channels, and optimizing parameters of remaining channels in the filter of the convolutional layer, so that error of output features of each optimized sub-layer is minimized.
    Type: Grant
    Filed: July 12, 2018
    Date of Patent: July 14, 2020
    Assignee: MEGVII (BEIJING) TECHNOLOGY CO., LTD.
    Inventors: Xiangyu Zhang, Yihui He
  • Patent number: 10713610
    Abstract: A method and apparatus for receiving a depth frame from a depth sensor oriented towards an open end of a shipping container, the depth frame comprising a plurality of grid elements that each have a respective depth value, identifying one or more occlusions in the depth frame, correcting the one or more occlusions in the depth frame using one or more temporally proximate depth frames, and outputting the corrected depth frame for fullness estimation.
    Type: Grant
    Filed: December 22, 2015
    Date of Patent: July 14, 2020
    Assignee: Symbol Technologies, LLC
    Inventors: Yan Zhang, Jay J. Williams, Cuneyt M. Taskiran, Kevin J. O'Connell
  • Patent number: 10713519
    Abstract: The present invention is directed towards providing automated workflows for the identification of a reading order from text segments extracted from a document. Ordering the text segments is based on trained natural language models. In some embodiments, the workflows are enabled to perform a method for identifying a sequence associated with a portable document. The methods includes iteratively generating a probabilistic language model, receiving the portable document, and selectively extracting features (such as but not limited to text segments) from the document. The method may generate pairs of features (or feature pair from the extracted features). The method may further generate a score for each of the pairs based on the probabilistic language model and determine an order to features based on the scores. The method may provide the extracted features in the determined order.
    Type: Grant
    Filed: June 22, 2017
    Date of Patent: July 14, 2020
    Assignee: ADOBE INC.
    Inventors: Trung Huu Bui, Hung Hai Bui, Shawn Alan Gaither, Walter Wei-Tuh Chang, Michael Frank Kraley, Pranjal Daga
  • Patent number: 10706573
    Abstract: A structural analysis computing device for determining structural characteristics of an object pictured in a three-dimensional (3D) image may be provided. The structural analysis computing device may include a memory, a user interface, an object sensor configured to capture the 3D image of the object, and at least one processor in communication with the memory and the object sensor. The processor may be configured to access the 3D image including the object, automatically determine a first plurality of measurements of the object from the 3D image, and display the 3D image on the user interface. The processor may be further configured to generate a data file including the 3D image and the first plurality of measurements, and store the data file within the memory. The processor may also be configured to transmit the data file to an insurance server computing device for generation of an associated insurance claim form.
    Type: Grant
    Filed: March 13, 2019
    Date of Patent: July 7, 2020
    Assignee: State Farm Mutual Automobile Insurance Company
    Inventors: Timothy J. Spader, George T. Dulee, Jr., Donald Yuhas, Aaron Brucker, Chris Stroh, Jeffrey Mousty
  • Patent number: 10692228
    Abstract: A system determines spatial locations of pixels of an image. The system includes a processor configured to: receive location data from devices located within a hotspot; generate a density map for the hotspot including density pixels associated with spatial locations defined by the location data, each density pixel having a value indicating an amount of location data received from an associated spatial location; match the density pixels of the density map to at least a portion of the pixels of the image; and determine spatial locations of the at least a portion of the pixels of the image based on the spatial locations of the matching density pixels of the density map. In some embodiments, the image and density map are converted to edge maps, and a convolution is applied to the edge maps to match the density map to the pixels of the image.
    Type: Grant
    Filed: August 11, 2017
    Date of Patent: June 23, 2020
    Assignee: Mapbox, Inc.
    Inventor: Damon Burgett
  • Patent number: 10687074
    Abstract: The image coding method includes: determining a context for a current block to be processed, from among a plurality of contexts; and performing arithmetic coding on the control parameter for the current block to generate a bitstream corresponding to the current block, wherein in the determining: the context is determined under a condition that control parameters of neighboring blocks of the current block are used, when the signal type is a first type, the neighboring blocks being a left block and an upper block of the current block; and the context is determined under a condition that the control parameter of the upper block is not used, when the signal type is a second type, and the second type is one of “mvd_l0” and “mvd_l1”.
    Type: Grant
    Filed: January 3, 2018
    Date of Patent: June 16, 2020
    Assignee: SUN PATENT TRUST
    Inventors: Hisao Sasai, Takahiro Nishi, Youji Shibahara, Toshiyasu Sugio, Kyoko Tanikawa, Toru Matsunobu
  • Patent number: 10685450
    Abstract: A controller controls operation of a forming machine capable of forming a workpiece. The controller includes: an object determination unit configured to determine an object other than the workpiece and the forming machine based on image data sensed by a sensor; a setting unit configured to set a plurality of determination areas based on a bolster shape of the forming machine included in the image data; a detection unit configured to detect entry of the object into each of the plurality of determination areas set by the setting unit; and a control unit configured to limit operation speed of the forming machine based on the determination area in which the entry of the object has been detected by the detection unit.
    Type: Grant
    Filed: November 15, 2016
    Date of Patent: June 16, 2020
    Assignee: KOMATSU INDUSTRIES CORPORATION
    Inventors: Tetsuyou Watanabe, Takeshi Kobayashi, Shuhei Yamashita
  • Patent number: 10687065
    Abstract: An image processing apparatus includes a search range providing circuit, a searching circuit and an encoder. The search range providing circuit obtains N number of predicted motion vectors for a target image block, and accordingly sets N number of corresponding search ranges in a reference frame, where N is an integer greater than 1. The searching circuit performs a motion compensation searching process individually on the N search ranges to accordingly determine a motion vector for the target image block. The encoder encodes the target image block according to the motion vector.
    Type: Grant
    Filed: January 31, 2018
    Date of Patent: June 16, 2020
    Assignee: MEDIATEK INC.
    Inventors: Tai-Chi Wang, Shu-Wei Teng
  • Patent number: 10679037
    Abstract: A fingerprint recognition method includes receiving an input partial image corresponding to a partial image of a fingerprint of a first user; partitioning the input partial image into a plurality of blocks; performing a comparison operation based on the plurality of blocks and the enrolled partial images corresponding to partial images of an enrolled fingerprint; and recognizing the fingerprint of the first user based on a result of the comparison operation.
    Type: Grant
    Filed: July 20, 2018
    Date of Patent: June 9, 2020
    Assignee: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Wonjun Kim, Sungjoo Suh, Kyuhong Kim, Namjoon Kim
  • Patent number: 10679223
    Abstract: The present disclosure relates to the field of anti-counterfeit protection of products. Specifically, the disclosure is directed to a composite security marking for a physical object, in particular to an anti-counterfeit product marking. In particular, without limitation, such composite security marking can be used in connection with or can form a component of a multi-component security system, in particular of an anti-counterfeit protection system, which is also disclosed herein as part of an overall solution for anti-counterfeit protection. The composite security marking comprises a physical unclonable function, PUF, and a representation of a digital signature or of a pointer indicating a location where said digital signature can be accessed. The digital signature digitally signs a hash value resulting from application of a predetermined cryptographic hash function to data representing a response generated by the PUF in reaction to a challenge of a predetermined challenge-response authentication scheme.
    Type: Grant
    Filed: December 15, 2017
    Date of Patent: June 9, 2020
    Assignee: Merck Patent GmbH
    Inventors: Thomas Endress, Daniel Szabo, Fabian Wahl
  • Patent number: 10671879
    Abstract: A system capable of determining which recognition algorithms should be applied to regions of interest within digital representations is presented. A preprocessing module utilizes one or more feature identification algorithms to determine regions of interest based on feature density. The preprocessing modules leverages the feature density signature for each region to determine which of a plurality of diverse recognition modules should operate on the region of interest. A specific embodiment that focuses on structured documents is also presented. Further, the disclosed approach can be enhanced by addition of an object classifier that classifies types of objects found in the regions of interest.
    Type: Grant
    Filed: September 11, 2018
    Date of Patent: June 2, 2020
    Assignee: Nant Holdings IP, LLC
    Inventors: Mustafa Jaber, Jeremi M. Sudol, Bing Song
  • Patent number: 10670535
    Abstract: Methods and systems for determining parameter(s) of a metrology process to be performed on a specimen are provided. One system includes one or more computer subsystems configured for automatically generating regions of interest (ROIs) to be measured during a metrology process performed for the specimen with the measurement subsystem based on a design for the specimen. The computer subsystem(s) are also configured for automatically determining parameter(s) of measurement(s) performed in first and second subsets of the ROIs during the metrology process with the measurement subsystem based on portions of the design for the specimen located in the first and second subsets of the ROIs, respectively. The parameter(s) of the measurement(s) performed in the first subset are determined separately and independently of the parameter(s) of the measurement(s) performed in the second subset.
    Type: Grant
    Filed: March 7, 2019
    Date of Patent: June 2, 2020
    Assignee: KLA-Tencor Corp.
    Inventors: Brian Duffy, Ajay Gupta, Thanh Huy Ha
  • Patent number: 10664513
    Abstract: Systems and methods present adapted content for a visitor or visitors to a physical environment. A computing device in the physical environment produces a digital media input file associated with at least one visitor to the physical environment and determines a presence of a statistically negative neuro-efferent indicator in the digital media input file. The computing device then selects electronic presentation content based on whether the statistically negative neuro-efferent indicator is present in the digital media file, and provides the electronic presentation content to the physical environment. The electronic presentation content can be selected based on an analysis of an existing library of media selections, either in advance, or at the time of presentation.
    Type: Grant
    Filed: January 10, 2018
    Date of Patent: May 26, 2020
    Assignee: Adobe Inc.
    Inventor: Damien Antipa
  • Patent number: 10663294
    Abstract: A wall area estimation system generates an estimated wall area measurement report of a building. Included in the wall area measurement estimate report are multiple line drawings of a building having a roof. Two of the multiple line drawings are perspective views from an angle of view above the building. A first of the perspective views is substantially centered on a first substantially vertical exterior corner of the house that is approximately opposite of a second substantially vertical exterior corner of the house on which a second of the perspective views is substantially centered. The first and second of the perspective views include a line drawing of the roof that is transparent or translucent to show interior surfaces of the walls of the building in the first and second of the perspective views. The walls of the interior surfaces shown are shaded darker than the walls of the exterior.
    Type: Grant
    Filed: March 15, 2013
    Date of Patent: May 26, 2020
    Assignee: Eagle View Technologies, Inc.
    Inventors: Chris Pershing, Michael Rydell, Jianguo Jiang, Arlen Pringle
  • Patent number: 10652583
    Abstract: A hybrid compression method for compressing images is provided. The method identifies a first set of image components to be compressed by a lossy compression format and a second set of image components to be compressed by a lossless compression format. The method then encodes the first set of image components according to the lossy compression format and encodes the second set of image components according to the lossless compression format. The method then generates a compressed structure that includes the lossy-compressed first set of image components and the lossless-compressed second set of image components.
    Type: Grant
    Filed: August 19, 2016
    Date of Patent: May 12, 2020
    Assignee: Apple Inc.
    Inventors: Paul Chang, Ali Sazegari, Eric Bainville
  • Patent number: 10635882
    Abstract: A fingerprint module, comprising: a first part comprising a sensor, and a cover glass disposed on the sensor; and a second part comprising a light guide plate, and a LED disposed aside the light guide plate, wherein the first part and the second part are separate. More degree of freedom of the fingerprint module achieved in assembly.
    Type: Grant
    Filed: October 12, 2015
    Date of Patent: April 28, 2020
    Assignee: SHANGHAI OXI TECHNOLOGY CO., LTD
    Inventors: Wei Fang, Hong Zhu