公开(公告)号：US20250053592A1

公开(公告)日：2025-02-13

申请号：US18927355

申请日：2024-10-25

Applicant: AURA HOME, INC.

Inventor： Ophir FRIEDER ,  Abdur CHOWDHURY ,  Eric JENSEN

IPC: G06F16/48 ,  G01S5/02 ,  G01S19/42 ,  G06F1/16 ,  G06F16/435 ,  G06F16/55 ,  G06F18/23 ,  G06F18/2323 ,  G06V20/30 ,  G06V40/16 ,  G06V40/20 ,  H04N1/00 ,  H04N21/2343 ,  H04N21/454 ,  H04W4/021 ,  H04W4/21 ,  H04W4/80

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. Clustering photos by content is used to improve display and to respond to photo viewer desires. Trends or patterns can be detected from the photo collections and that information used for various purposes beyond photo display.

公开(公告)号：US20250045323A1

公开(公告)日：2025-02-06

申请号：US18921623

申请日：2024-10-21

Applicant: Zyte Group Limited

Inventor： Mikhail KOROBOV ,  Konstantin LOPUKHIN

IPC: G06F16/55 ,  G06F16/951 ,  G06F16/957 ,  G06N3/08 ,  G06V10/764 ,  G06V10/80 ,  G06V10/82

Abstract: A web scaping system configured with artificial intelligence and image object detection. The system processes a web page with a neural network to perform object detection to obtain structured data, including text, image and other kinds of data, from web pages. The neural network allows the system to efficiently process visual information (including screenshots), text content and HTML structure to achieve good quality and decrease extraction time.

公开(公告)号：US12210566B1

公开(公告)日：2025-01-28

申请号：US18600117

申请日：2024-03-08

Applicant: ClioTech Ltd

Inventor： Georgia Helen Kirke

IPC: G06F16/55 ,  G06F16/538 ,  G06N20/00

Abstract: An apparatus for generation of an integrated data file, wherein the apparatus includes at least a processor and a memory communicatively connected to the at least a processor, the memory containing instructions configuring the at least a processor to receive content data from a user, receive preference data from the user as a function of receipt of the content data, create a plurality of templates as a function of the preference data and the content data, receive user feedback associated with the plurality of templates, generate one or more updated templates as function of the user feedback and the plurality of templates, generate an integrated data file as a function of one or more updated templates and transmit the integrated data file to one or more content producers.

公开(公告)号：US12197496B1

公开(公告)日：2025-01-14

申请号：US18361822

申请日：2023-07-29

Applicant: Adobe Inc.

Inventor： Saikat Chakrabarty ,  Shikhar Garg

IPC: G06F7/00 ,  G06F16/00 ,  G06F16/532 ,  G06F16/538 ,  G06F16/55 ,  G06F40/40

Abstract: In implementations of systems for searching for images using generated images, a computing device implements a search system to receive a natural language search query for digital images included in a digital image repository. The search system generates a set of digital images using a machine learning model based on the natural language search query. The machine learning model is trained on training data to generate digital images based on natural language inputs. The search system performs an image-based search for digital images included in the digital image repository using the set of digital images. An indication of the search result is generated for display in a user interface based on performing the image-based search.

公开(公告)号：US20240411804A1

公开(公告)日：2024-12-12

申请号：US18330537

申请日：2023-06-07

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Hila Levi ,  Dan Levi

IPC: G06F16/55 ,  G06F16/53 ,  G06F16/56 ,  G06F16/587 ,  G06V10/74 ,  G06V10/764 ,  G06V20/56

Abstract: A method for open-vocabulary query-based dense retrieval is provided. The method includes monitoring camera data including an image related to an object and referencing a set of queries, each of the queries describing a candidate object to be updated by a remote server device. An encoder of an open-vocabulary pre-trained vision-language model system is utilized to initialize a predefined embedding for each query, and a classifier is initialized by mapping the predefined embeddings to weights of the classifier. The method further includes applying a dense open-vocabulary image encoder on the camera data to create a mass of dense embeddings including a set of spatially-arranged embeddings for the image, each including a matrix including embedding vectors. The classifier is utilized by applying the classifier to the plurality of embedding vectors to classify the object within the operating environment as an identified object. The method further includes publishing the identified object.

公开(公告)号：US12164558B2

公开(公告)日：2024-12-10

申请号：US18373856

申请日：2023-09-27

Applicant: Microsoft Technology Licensing, LLC

Inventor： Suresh Challiyil

IPC: G06F16/55 ,  G06V10/82 ,  G06V20/40 ,  G06V40/16 ,  G06F18/231

Abstract: Techniques and solutions are described for clustering, with reduced memory consumption, observations in a data set. A first observation is received. A distance is determined between the first observation and a first cluster. It is determined that the distance satisfies a threshold, and the first observation is added to a first sample of the first cluster. A first set of means is calculated for the first sample using data of the first observations and data of at least a second observation of the first sample. A second set of means is calculated for the plurality of elements for the first cluster using the first set of means for the first sample and at least a third set of means for at least a second sample of the first cluster. An identifier of the first observation is added to a collection of observation identifiers classified in the first cluster.

公开(公告)号：US20240354340A1

公开(公告)日：2024-10-24

申请号：US18303915

申请日：2023-04-20

Applicant: Adobe Inc.

Inventor： Ulaganathan Sriramulu ,  Donald Peregrine Clarke ,  Alexander Dixon ,  Abhishek Kumar Singh

IPC: G06F16/75 ,  G06F16/55 ,  G06F16/583 ,  G06F16/587 ,  G06F16/783 ,  G06F16/787

CPC classification number: G06F16/75 ,  G06F16/55 ,  G06F16/583 ,  G06F16/587 ,  G06F16/783 ,  G06F16/787

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for synchronizing timestamps associated with media files across a variety of capture devices. For example, the disclosed systems receive a media file captured with a user device and determine, from metadata, initial timestamp information for the media file that includes inaccurate or incomplete time zone information. The disclosed systems determine a predicted time zone for the media file by extracting GPS information from the metadata associated with the media file or identifying a peer media file and utilizing a time zone or GPS information associated with the peer media file. The disclosed systems generate a synchronized timestamp for the media file with updated timestamp information based on the predicted time zone.

公开(公告)号：US20240330255A1

公开(公告)日：2024-10-03

申请号：US18620101

申请日：2024-03-28

Applicant: Siemens Healthineers AG

Inventor： Michael Manhart ,  Alexander Preuhs ,  Manuela Meier

IPC: G06F16/215 ,  G06F16/55

CPC classification number: G06F16/215 ,  G06F16/55

Abstract: Systems and methods for image processing that provides an output data set on the basis of an input data set relating to an examination subject. The method includes generating an initial intermediate data set group from a plurality of intermediate data sets by applying a respective correction operation associated with the respective intermediate data set to the input data set, ordering the intermediate data sets according to a quality ranking in respect of their image quality by a sorting algorithm, wherein the intermediate data sets of the initial intermediate data set group are ordered in a first iteration, wherein, in the sorting algorithm, a respective relative quality metric for the relative image quality of a respective first of the intermediate data sets in relation to a respective second of the intermediate data sets is determined by a comparison algorithm, after which the order of the respective first and second intermediate data set in the quality ranking is specified by a comparison of the relative quality metric with a quality limit value.

公开(公告)号：US12093307B2

公开(公告)日：2024-09-17

申请号：US17919888

申请日：2022-01-28

Applicant: Honor Device Co., Ltd.

Inventor： Shuhong Hu ,  Lu Zhang

IPC: G06F16/54 ,  G06F16/55 ,  G06T1/20 ,  G06T1/60 ,  G06T3/40

CPC classification number: G06F16/55 ,  G06F16/54 ,  G06T1/20 ,  G06T1/60 ,  G06T3/40

Abstract: This application relates to an image data invoking method and system for an application, an electronic device, and a storage medium. When the electronic device identifies an entry file HalSensorList.cpp of a sensor, an image with an image resolution of binning size is filled. The electronic device obtains an image with an image resolution of binning size from a preview mode library at a kernel layer, fills an MTK_SCALER_AVAILABLE_STREAM_CONFIGURATIONS_WITH_DURATIONS tag at a Hal layer with the image with an image resolution of binning size, and reports the binning size of the MTK_SCALER_AVAILABLE_STREAM_CONFIGURATIONS_WITH_DURATIONS tag at the Hal layer to an android.scaler.availableStreamConfigurations tag at a framework layer. An application obtains the image with an image resolution of binning size with which the android.scaler.availableStreamConfigurations tag at the framework layer is filled from the android.scaler.availableStreamConfigurations tag.

公开(公告)号：US20240273133A1

公开(公告)日：2024-08-15

申请号：US18642447

申请日：2024-04-22

Applicant: Walmart Apollo, LLC

Inventor： Binwei Yang ,  Cun Mu

IPC: G06F16/532 ,  G06F16/55 ,  G06F16/56 ,  G06F16/953 ,  G06N3/04 ,  G06N3/08

CPC classification number: G06F16/532 ,  G06F16/55 ,  G06F16/56 ,  G06F16/953 ,  G06N3/04 ,  G06N3/08

Abstract: A method including determining neighboring items from among sample items based on a respective embedding distance between a query image of a query item and a respective image of each of the neighboring items. The each of the sample items can comprise the respective image and at least one respective item label. The method further can include determining a respective normalized weight for each of the neighboring items based on the respective embedding distance between the query image and the respective image of the each of the neighboring items. The method also can include determining a query item label of the query item based on a weighted majority vote by the neighboring items via the respective normalized weight for the each of the neighboring items. Other embodiments are disclosed.