公开(公告)号：US20240273578A1

公开(公告)日：2024-08-15

申请号：US18634174

申请日：2024-04-12

Applicant: ROVI GUIDES, INC.

Inventor： Ankur Anil Aher ,  Jeffry Copps Robert Jose ,  Reda Harb

IPC: G06Q30/0273 ,  G06Q30/0241 ,  G06V10/774

CPC classification number: G06Q30/0273 ,  G06Q30/0276 ,  G06V10/774 ,  G06Q30/0277 ,  G06V2201/10

Abstract: A computer-implemented method and an apparatus are provided for presenting an option to purchase an NFT based on a scene of a media asset to an advertiser. One example computer-implemented method includes obtaining, from a first source, a scene of a media asset, determining that the scene comprises a product, obtaining, from a second source, a non-fungible token (NFT) based on the scene, matching the NFT to an advertiser based on the product, and presenting an option to purchase the matched NFT to the advertiser.

公开(公告)号：US20240267493A1

公开(公告)日：2024-08-08

申请号：US18434494

申请日：2024-02-06

Applicant: MILESTONE SYSTEMS A/S

Inventor： Oleksii ZATVORNYTSKYI ,  Peter Posselt VERGMANN

IPC: H04N7/18 ,  G01C21/00 ,  G06F3/0481 ,  G06F3/04842 ,  G06F16/738 ,  G06F16/787 ,  G06V20/40 ,  G06V20/52

CPC classification number: H04N7/181 ,  G01C21/3811 ,  G01C21/3837 ,  G06F3/0481 ,  G06F3/04842 ,  G06F16/738 ,  G06F16/787 ,  G06V20/41 ,  G06V20/52 ,  G06F2203/04803 ,  G06V2201/07 ,  G06V2201/10

Abstract: The present disclosure generally relates to video surveillance systems, video management systems and optionally computer-implemented video management methods that utilize trail mapping of one of movable video cameras onto a geo-map of a surveillance area.

公开(公告)号：US12054066B2

公开(公告)日：2024-08-06

申请号：US18348272

申请日：2023-07-06

Applicant: Volta Charging, LLC

Inventor： Ramsey Rolland Meyer

IPC: B60L53/65 ,  B60L53/66 ,  G06N3/08 ,  G06V20/10

CPC classification number: B60L53/65 ,  B60L53/66 ,  G06N3/08 ,  G06V20/10 ,  G06V2201/08 ,  G06V2201/10

Abstract: The disclosed embodiments provide a method performed at a computer system that is in communication with an electric vehicle charging station (EVCS). The EVCS includes a camera for obtaining images in a region proximal to the EVCS. The method includes capturing, using the camera, a plurality of images of electric vehicles, each image in the plurality of images being an image of a respective electric vehicle. The method further includes, for each respective image of the plurality of images of electric vehicles: determining, without user intervention, a characteristic of the respective electric vehicle; and tagging, without user intervention, the respective image with the characteristic of the respective electric vehicle. The method further includes training a first machine learning algorithm to identify the characteristic of other electric vehicles using the tagged plurality of images.

公开(公告)号：US12052496B2

公开(公告)日：2024-07-30

申请号：US17806383

申请日：2022-06-10

Applicant: HONEYWELL INTERNATIONAL INC.

Inventor： Amit Grewal ,  Bhavya Kumar ,  Lalitha M. Eswara ,  Rajeev Sharma

IPC: H04N23/66 ,  G06V20/40 ,  G06V20/52 ,  H04N7/18 ,  H04N23/661 ,  H04N23/695 ,  H04W84/04

CPC classification number: H04N23/662 ,  G06V20/41 ,  G06V20/44 ,  G06V20/52 ,  H04N7/181 ,  H04N23/695 ,  G06V2201/10 ,  H04W84/042

Abstract: An event of interest may be tracked using a distributed intelligence video surveillance system. The distributed intelligence video surveillance system includes a lead video camera and a plurality of child video cameras that are configured to communicate with the lead video camera. One of the plurality of child video cameras may receive a video image and perform analytics and event generation for any events of interest found within the video image. The child video camera extracts metadata for any found events of interest and communicates the extracted metadata to the lead video camera. The lead video camera communicates the extracted metadata to others of the plurality of child video cameras so that the others of the plurality of child video cameras can be alerted to track the found events of interest.

公开(公告)号：US12050830B2

公开(公告)日：2024-07-30

申请号：US17606433

申请日：2020-04-20

Applicant: Dolby Laboratories Licensing Corporation

Inventor： Ali Zandifar ,  James E. Crenshaw ,  Cristina Michel Vasco

IPC: G06T7/11 ,  G06F3/14 ,  G06T5/92 ,  G06V20/40 ,  G06V20/70 ,  H04N7/01 ,  H04N19/46 ,  G06V10/26

CPC classification number: G06F3/14 ,  G06T5/92 ,  G06T7/11 ,  G06V20/41 ,  G06V20/46 ,  G06V20/70 ,  H04N7/01 ,  H04N19/46 ,  G06T2207/10016 ,  G06T2207/20021 ,  G06T2207/20208 ,  G06V10/26 ,  G06V20/49 ,  G06V2201/10

Abstract: In image processing system comprises an input configured to receive an image signal, the image signal including a plurality of frames of image data; and a processor configured to automatically determine an image classification based on at least one frame of the plurality of frames, and dynamically generate a mapping metadata based on the image classification. The processor includes determination circuitry configured to determine a content type for the image signal; segmentation circuitry configured to segment the image data into a plurality of feature item regions, based on the content type; extraction circuitry configured to extract at least one image aspect value for respective ones of the plurality of feature item regions.

公开(公告)号：US12050589B2

公开(公告)日：2024-07-30

申请号：US17564686

申请日：2021-12-29

Applicant: Lyft, Inc.

Inventor： Jason Noah Laska ,  Han Suk Kim ,  Matthew Jonathan Feldman ,  Artur Dryomov ,  Lev Dragunov ,  Yakau Bubnou ,  Yanina Michukova ,  Oleg Shnitko ,  Stanislau Binko ,  Siddharth Vijayakrishnan ,  Mark Edward Huberty ,  Kathryn Flaherty Frisbie ,  Mikhail Viktorovich Chuikin ,  Dzmitry Kavaliou

IPC: G06F16/23 ,  G01C21/00 ,  G06F16/29 ,  G06V20/54 ,  H04N7/18

CPC classification number: G06F16/2365 ,  G01C21/3837 ,  G06F16/29 ,  G06V20/54 ,  H04N7/183 ,  G06V2201/10

Abstract: Examples disclosed herein involve a computing system configured to (i) receive, from an image-capture device, image-capture metadata that provides information about a set of images that were passively captured by the image-capture device, (ii) based at least on the received image-capture metadata, apply a collection policy for determining whether to collect any of the set of images that have been passively captured by the image-capture device and thereby determine that a selected subset of one or more images in the set of images are to be collected from the image-capture device, (iii) instruct the image-capture device to upload the selected subset of one or more images, and (iv) after instructing the image-capture device to upload the selected subset of one or more images, receive the selected subset of one or more images from the image-capture device.

公开(公告)号：US20240244386A1

公开(公告)日：2024-07-18

申请号：US18154678

申请日：2023-01-13

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Sunil Bharitkar ,  SeongNam Oh ,  Carlos Tejeda Ocampo

IPC: H04S7/00 ,  G06V20/40 ,  G11B27/036

CPC classification number: H04S7/30 ,  G06V20/46 ,  G11B27/036 ,  G06V2201/10 ,  H04S2400/11

Abstract: One embodiment provides a computer-implemented method that includes creating, during content production, an audio object and metadata associated with the audio object based on a motion vector analysis of an object in one or more image frames in a video. The method can include, during the content production, inserting the audio object and the metadata associated with the audio object into at least one of an audio encoder or a video encoder. The method can include, during content playback, rendering the audio object, without image frame analysis, based on decoding the audio object and parsing the metadata associated with the audio object.

公开(公告)号：US20240214598A1

公开(公告)日：2024-06-27

申请号：US18545212

申请日：2023-12-19

Applicant: OVH

Inventor： Octave KLABA ,  Miroslaw Piotr KLABA

IPC: H04N19/48 ,  G06T7/174 ,  G06T7/38 ,  G06V10/74 ,  G06V20/13 ,  G06V20/17 ,  G06V20/40

CPC classification number: H04N19/48 ,  G06T7/174 ,  G06T7/38 ,  G06V10/761 ,  G06V20/13 ,  G06V20/17 ,  G06V20/46 ,  G06T2207/10016 ,  G06T2207/10032 ,  G06V2201/10

Abstract: System and method for storing a captured aerial image on a data storage device, the captured aerial image being associated with a corresponding metadata file. The method including accessing the captured aerial image and the corresponding metadata file, extracting a sequence of stored aerial images from a compressed file stored on the data storage device, the sequence of stored aerial images comprising at least one stored aerial image, determining a first position for inserting the captured aerial image in the sequence of stored aerial images, updating the sequence of stored aerial images by inserting the captured aerial image in the sequence of stored aerial images at the first position, updating the compressed file by applying an encoding algorithm to the sequence of stored aerial images and storing the compressed file on the data storage device.

公开(公告)号：US20240212376A1

公开(公告)日：2024-06-27

申请号：US18086238

申请日：2022-12-21

Applicant: Raytheon Company

Inventor： Philip A. Sallee ,  Jack Anthony Mucciaccio

IPC: G06V30/148

CPC classification number: G06V30/153 ,  G06V2201/10

Abstract: Embodiments regard improving Optical Character Recognition (OCR) performance. A method includes providing an image including text as input to a text segmentation model, receiving, from the text segmentation model, a per-pixel segmentation map of the image, providing the per-pixel segmentation map as input to an OCR engine, and receiving, as output from the OCR engine based on the per-pixel segmentation map, a digitized version of the image.

公开(公告)号：US20240205350A1

公开(公告)日：2024-06-20

申请号：US18593608

申请日：2024-03-01

Applicant: Capital One Services, LLC

Inventor： Aaron Attar

IPC: H04N1/32 ,  G06V30/12 ,  G06V30/416

CPC classification number: H04N1/32625 ,  G06V30/133 ,  G06V30/416 ,  G06V2201/10

Abstract: Disclosed embodiments may include a system for measuring document legibility. The system may automatically receive document image data from a user device. The system may then process the image data using optical character recognition to create language data containing a plurality of words. The system may then obtain an overall number by counting the plurality of words in the language data. The system may then identify and count the common words within the plurality of words by comparing the plurality of words to words in a database. A score may be obtained by dividing the common word number by the overall number. The score may then be compared to a legibility threshold. If the score is below the threshold, the system may determine the document is illegible. If the score is above the threshold, the system may determine the document is legible.