Patents Examined by Samir Ahmed
  • Patent number: 10733453
    Abstract: The present disclosure provides a computer-implemented method and system for performing real time supervised detection of televised video ads in a media content of a broadcasted channel. The method includes reception of the media content and selection of a set of frames per second from the media content. The method includes extraction of keypoints from each selected frame and derivation of binary descriptors from extracted keypoints. The method includes assignment of weight value to each binary descriptor and creation of a special pyramid of the binary descriptors. The method includes obtaining a first vocabulary of binary descriptors for each selected frame and accessing a second vocabulary of binary descriptors. The method includes comparison of each binary descriptor in the first vocabulary with binary descriptors in second vocabulary and progressively scoring each selected frame of the media content. The method includes detection of a first ad in the media content.
    Type: Grant
    Filed: June 7, 2018
    Date of Patent: August 4, 2020
    Assignee: Silveredge Technologies Pvt. Ltd.
    Inventors: Debasish Mitra, Hitesh Chawla
  • Patent number: 10719714
    Abstract: The present disclosure provides a computer-implemented method and system for adaptively reducing detection time in real time supervised detection of televised ads in media content of a channel. The method includes reception of the media content and selection of a set of frames per second from the media content. The method includes extraction of keypoints from each selected frame and derivation of binary descriptors from extracted keypoints. The method includes assignment of weight value to each binary descriptor and creation of a special pyramid of the binary descriptors. The method includes obtaining a first vocabulary of binary descriptors for each selected frame and accessing a second vocabulary of binary descriptors. The method includes comparison of each binary descriptor in the first vocabulary with binary descriptors in second vocabulary. The method includes progressively scoring each selected frame of the media content and detecting a first ad in the media content.
    Type: Grant
    Filed: June 7, 2018
    Date of Patent: July 21, 2020
    Assignee: Silveredge Technologies Pvt. Ltd.
    Inventors: Debasish Mitra, Hitesh Chawla
  • Patent number: 10719715
    Abstract: The present disclosure provides a computer-implemented method and system for adaptively switching supervised detection strategy for watermarked and non-watermarked real time televised video advertisements. The televised video advertisements are present in a live stream of a media content of a broadcasted channel. The method includes selection of a set of frames per second from the media content. The method includes checking for one or more watermarked features in each selected frame of the media content. The method includes switching to a first detection strategy. The first detection strategy is associated with detection of a first ad in the live stream of the media content when the one or more watermarked feature are present in each checked frame in the selected set of frames.
    Type: Grant
    Filed: June 7, 2018
    Date of Patent: July 21, 2020
    Assignee: Silveredge Technologies Pvt. Ltd.
    Inventors: Debasish Mitra, Hitesh Chawla
  • Patent number: 10713496
    Abstract: The present disclosure provides a computer-implemented method and system for hardware, channel, language and ad length agnostic detection of multi-lingual televised advertisements. The detection is performed across live streams of media content of one or more broadcasted channels. The method includes selection of a set of frames per second from a pre-defined set of frames. The method includes extraction of a pre-defined number of keypoints from each selected frame and derivation of a pre-defined number of binary descriptors from the extracted keypoints. The method includes creation of a special pyramid of the binary descriptors and accessing a second vocabulary of binary descriptors. The method includes comparison of each spatially identifiable binary descriptor from the first vocabulary with spatially identifiable binary descriptors in clusters of the second vocabulary. The method includes progressively scoring each selected frame and detection of the first ad in the live streams of the media content.
    Type: Grant
    Filed: June 7, 2018
    Date of Patent: July 14, 2020
    Assignee: Silveredge Technologies Pvt. Ltd.
    Inventors: Debasish Mitra, Hitesh Chawla
  • Patent number: 10706336
    Abstract: An object recognition system is provided that includes a device configured to capture a video sequence formed from unlabeled testing video frames. The system includes a processor configured to pre-train a recognition engine formed from a reference set of CNNs on a still image domain that includes labeled training still image frames. The processor adapts the recognition engine to a video domain to form an adapted recognition engine, by applying a non-reference set of CNNs to a set of domains that include the still image and video domains and a degraded image domain. The degraded image domain includes labeled synthetically degraded versions of the labeled training still image frames included in the still image domain. The video domain includes random unlabeled training video frames. The processor recognizes, using the adapted engine, a set of objects in the video sequence. A display device displays the set of recognized objects.
    Type: Grant
    Filed: February 6, 2018
    Date of Patent: July 7, 2020
    Assignee: NEC Corporation
    Inventors: Kihyuk Sohn, Xiang Yu, Manmohan Chandraker
  • Patent number: 10706315
    Abstract: An image processing device includes a memory, and a processor coupled to the memory, wherein the processor is configured to execute acquiring a captured image including an original document region, detecting a color component value of a predetermined area in the captured image, detecting an edge in the predetermined area to acquire an edge amount indicating any one or both of a density of the edge and an edge intensity, and identifying, based on the color component value and the edge amount, a difference between a background of the original document region and a background of a background region obtained by removing the original document region from the captured image.
    Type: Grant
    Filed: October 24, 2018
    Date of Patent: July 7, 2020
    Assignee: PFU LIMITED
    Inventors: Masayoshi Hayashi, Kiyoto Kosaka
  • Patent number: 10706502
    Abstract: According to one embodiment, a monitoring system includes a monitoring terminal and a server. The monitoring terminal includes a detector, a tracking unit, a first selector, and a transmitter. The server includes a receiver, a second selector, a collation unit, and an output unit. The receiver receives a first best shot images from the monitoring terminal. The second selector performs second selection processing, as part of a predetermined selection processing other than a first selection processing, of selecting a second best shot image suitable for collation with a predetermined image from among the first best shot images. The collation unit performs collation processing of collating the second best shot image with the predetermined image. The output unit outputs a result of the collation processing.
    Type: Grant
    Filed: September 20, 2018
    Date of Patent: July 7, 2020
    Assignees: Kabushiki Kaisha Toshiba, Toshiba Infrastructure Systems & Solutions Corporation
    Inventor: Hiroo Saito
  • Patent number: 10672114
    Abstract: A distance-based score approximation having improved computational efficiency is provided. Responsive to receiving a score request, a computing entity identifies an observation point based on a location indicated in the score request and defines a set of annuli comprising a plurality of concentric annuli centered on the observation point and defined by a predetermined maximum radius. The computing entity queries a geographic database for map information corresponding to geometry elements located within the predetermined maximum radius of the observation point and determines an intersection of each geometry element with each annulus. The computing entity determines a contribution for each intersection based at least in part on a size of the intersection, a measure assigned to the corresponding geometry element, and a representative radius of the corresponding annulus.
    Type: Grant
    Filed: May 9, 2018
    Date of Patent: June 2, 2020
    Assignee: Liberty Mutual Insurance Company
    Inventor: Scott Gorlin
  • Patent number: 10664718
    Abstract: Artistic styles extracted from one or more source images may be applied to one or more target images, e.g., in the form of stylized images and/or stylized video sequences. The extracted artistic style may be stored as a plurality of layers in a neural network, which neural network may be further optimized, e.g., via the fusion of various elements of the network's architectures. An optimized network architecture may be determined for each processing environment in which the network will be applied. The artistic style may be applied to the obtained images and/or video sequence of images using various optimization methods, such as the use of scalars to control the resolution of the unstylized and stylized images, temporal consistency constraints, as well as the use of dynamically adjustable or selectable versions of Deep Neural Networks (DNN) that are responsive to system performance parameters, such as available processing resources and thermal capacity.
    Type: Grant
    Filed: July 11, 2018
    Date of Patent: May 26, 2020
    Assignee: Apple Inc.
    Inventors: Bartlomiej W. Rymkowski, Francesco Rossi
  • Patent number: 10663567
    Abstract: The technology described herein recalibrates a structured light sensor in the field using time-of-flight sensor data. Structured light sensors are sensitive to mechanical changes that result in decreased accuracy. A structured light system calculates the range to an object by comparing a reference image to the actual image of the scene. The reference image is what the projected light pattern would look like on a flat object at a known distance. When the projected image changes, the reference image no longer matches the projected pattern. The calibration technology described herein captures a new reference image based on the current sensor characteristics using a time-of-flight capable sensor as the structured light imaging sensor.
    Type: Grant
    Filed: May 4, 2018
    Date of Patent: May 26, 2020
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Michael S. Fenton, John Peter Godbaz
  • Patent number: 10657411
    Abstract: This disclosure describes a system for utilizing multiple image processing techniques to identify an item represented in an image. In some implementations, one or more image processing algorithms may be utilized to process a received image to generate item image information and compare the item image information with stored item image information to identify the item. When a similarity score identifying the similarity between the item image information and at least one of the stored item image information is returned, a determination may be made as to whether the similarity score is high enough to confidently identify the item. If it is determined that the similarity score is high enough to confidently identify the item, the other algorithms may be terminated and the determined identity of the item returned.
    Type: Grant
    Filed: March 25, 2014
    Date of Patent: May 19, 2020
    Assignee: Amazon Technologies, Inc.
    Inventors: Ohil Krishnamurthy Manyam, Minmin Chen, Liefeng Bo, Xiaofeng Ren, Dilip Kumar
  • Patent number: 10657654
    Abstract: An abnormality detection device includes: an estimator which estimates the amount of movement of a mobile body based on an image taken by a camera mounted on the mobile body; and a determiner which determines an abnormality in the camera by obtaining estimated information on the amount of movement of the mobile body as obtained in the estimator and actually observed information on the movement of the mobile body as detected by an external sensor, other than the camera, mounted on the mobile body.
    Type: Grant
    Filed: September 20, 2018
    Date of Patent: May 19, 2020
    Assignee: DENSO TEN Limited
    Inventors: Takeo Matsumoto, Kohji Ohnishi, Naoshi Kakita, Takayuki Ozasa, Tomoyuki Fujimoto, Teruhiko Kamibayashi
  • Patent number: 10650597
    Abstract: An augmented reality AR device may be communicatively connected to a remote network management platform configured to support a managed network. The AR device may capture an image of a real object in the field of view of an imaging component of the AR device. The real object may be recognized as a known managed object of the managed network. The AR device may also concurrently determine context information indicating a location or physical environment. The AR device may then transmit an identifier of the known managed object and the context information in a message to the management platform. In response, the AR device may receive data associated with the known managed. The AR device may then display a virtual object in a virtual space superimposed on the captured image of the real object, where the virtual object and the virtual space are based on the received management data.
    Type: Grant
    Filed: February 6, 2018
    Date of Patent: May 12, 2020
    Assignee: ServiceNow, Inc.
    Inventor: Darius Koohmarey
  • Patent number: 10636169
    Abstract: A system for broad area geospatial object recognition, identification, classification, location and quantification, comprising an image manipulation module to create synthetically-generated images to imitate and augment an existing quantity of orthorectified geospatial images; together with a deep learning module and a convolutional neural network serving as an image analysis module, to analyze a large corpus of orthorectified geospatial images, identify and demarcate a searched object of interest from within the corpus, locate and quantify the identified or classified objects from the corpus of geospatial imagery available to the system. The system reports results in a requestor's preferred format.
    Type: Grant
    Filed: December 18, 2018
    Date of Patent: April 28, 2020
    Assignee: DIGITALGLOBE, INC.
    Inventors: Adam Estrada, Christopher Burd, Andrew Jenkins, Joseph Newbrough, Scott Szoko, Melanie Vinton
  • Patent number: 10628907
    Abstract: Systems, apparatuses, and methods may provide for technology to process multi-resolution images by identifying pixels at a boundary between pixels of different resolutions, and selectively smoothing the identified pixels.
    Type: Grant
    Filed: April 1, 2017
    Date of Patent: April 21, 2020
    Assignee: Intel Corporation
    Inventors: Travis T. Schluessler, Joydeep Ray, John H. Feit, Nikos Kaburlasos, Jacek Kwiatkowski
  • Patent number: 10630991
    Abstract: An image difference detection device includes a detection unit configured to detect presence or absence of a difference between a first region within a first image and a second region corresponding to the first region within a second image on the basis of one or both of a code amount of each of encoded blocks in first and second encoded data obtained by encoding the first image and the second image and an index value obtained from encoding information of each of the encoded blocks.
    Type: Grant
    Filed: December 14, 2016
    Date of Patent: April 21, 2020
    Assignee: NIPPON TELEGRAPH AND TELEPHONE CORPORATION
    Inventors: Tokinobu Mitasaki, Kazuya Hayase, Atsushi Shimizu
  • Patent number: 10607328
    Abstract: A system, according to various embodiments, receives images such as photographs and videos from one or more portable computing devices associated with one or more individuals (e.g., construction workers or landscapers) while the portable computing devices are in a particular position within a particular location at a particular time. The system determines a virtual position within a 3-D representation of the particular location that generally corresponds to the particular position and combines the images with the 3-D representation to generate an enhanced 3-D representation of the particular location. This may allow, for example, owners of a particular property to track and quickly understand construction and landscaping work that has been done on their property and to easily contact those individuals regarding that work.
    Type: Grant
    Filed: June 28, 2019
    Date of Patent: March 31, 2020
    Assignee: Quasar Blu, LLC
    Inventor: Mark Thomas
  • Patent number: 10606511
    Abstract: A nonvolatile memory module including a plurality of memory chips, a spare chip, and a module controller may be provided. The plurality of memory chips may be disposed on a printed circuit board (PCB), and each of the plurality of memory chips may include a plurality of nonvolatile memory cells. The spare chip may be disposed on the PCB and includes a plurality of nonvolatile memory cells. The spare chip may perform different functions according to operation modes of the plurality of memory chips. The module controller may disposed on the PCB, and control operations of the plurality of memory chips and the spare chip.
    Type: Grant
    Filed: October 19, 2016
    Date of Patent: March 31, 2020
    Assignee: Samsung Electronics Co., Ltd.
    Inventor: Kwang-Jin Lee
  • Patent number: 10607319
    Abstract: Supervised machine learning using neural networks is applied to denoising images rendered by MC path tracing. Specialization of neural networks may be achieved by using a modular design that allows reusing trained components in different networks and facilitates easy debugging and incremental building of complex structures. Specialization may also be achieved by using progressive neural networks. In some embodiments, training of a neural-network based denoiser may use importance sampling, where more challenging patches or patches including areas of particular interests within a training dataset are selected with higher probabilities than others. In some other embodiments, generative adversarial networks (GANs) may be used for training a machine-learning based denoiser as an alternative to using pre-defined loss functions.
    Type: Grant
    Filed: April 5, 2018
    Date of Patent: March 31, 2020
    Assignees: Pixar, Disney Enterprises, Inc.
    Inventors: Thijs Vogels, Fabrice Rousselle, Brian McWilliams, Mark Meyer, Jan Novak
  • Patent number: 10600152
    Abstract: Images of a scene may be captured by a set of image capture devices. Overlapping areas of the images may be identified based on the topology of the set of image capture devices. Frontiers within the overlapping areas of the images may be identified based on borders of the images. Sample points for the images may be distributed along the frontiers. Warp parameters including an anti-symmetric warping portion and a symmetric warping portion may be determined at the sample points. Displacement values may be determined at the sample points based on the warp parameters. Warp maps for the images may be determined based on diffusion of the displacement values. Displacement maps for the images may be determined based on interpolation of the warp maps. The images may be modified based on the displacement maps.
    Type: Grant
    Filed: May 9, 2018
    Date of Patent: March 24, 2020
    Assignee: GoPro, Inc.
    Inventors: Adrien Fontvielle, Antoine Meler, Benoit Fouet, Claire Mathis, Denys Bulant, Emeric Grange, Hervé Bonaillie, Jerome Lehaire, Julien Morat, Martin Arnoux, Mickaël Heudre, Renan Coudray, Stéphane Gamet, Thomas Vuillermet