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公开(公告)号：US20170111588A1
公开(公告)日：2017-04-20
申请号：US14882746
申请日：2015-10-14
Applicant: QUALCOMM Incorporated
CPC classification number: H04N5/23296 , H04N5/23212 , H04N5/23293 , H04N5/2628
Abstract: Devices and methods for capturing images are described herein. A processor may be configured to capture a first image. The processor may further be configured to determine a distance between a lens and an image sensor of the image capture device for capturing the first image. The processor may further be configured to determine a portion of the image sensor to use for the first image based on the determined distance in order to maintain a constant field of view for one or more images captured by the image capture device. The processor may further be configured to adjust the portion of the image sensor used for the first image based on the determined portion of the image sensor to generate an adjusted first image.
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公开(公告)号：US20250131660A1
公开(公告)日：2025-04-24
申请号：US18399298
申请日：2023-12-28
Applicant: QUALCOMM Incorporated
Inventor： Venkata Ravi Kiran DAYANA , Hau HWANG
IPC: G06T19/00 , G06F3/01 , G06F3/16 , G06F40/40 , G06V10/764
Abstract: Systems and techniques are described herein for displaying information. For instance, a device for displaying information is provided. The device may include at least one memory; and at least one processor coupled to the at least one memory and configured to: detect an object in an image of a scene obtained from a first camera; determine that a user is gazing at a representation of the object displayed at a display based on an image of the user obtained from a second camera; and based on determining that the user is gazing at the representation of the object displayed at the display, display, via the display, information associated with the object.
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公开(公告)号：US20250131248A1
公开(公告)日：2025-04-24
申请号：US18493649
申请日：2023-10-24
Applicant: QUALCOMM Incorporated
Inventor： Jihad MASRI , Gregory SMITH , Venkata Ravi Kiran DAYANA , Eric Wayne MAHURIN
IPC: G06N3/0464 , G06N3/09
Abstract: A processor-implemented method for multiplication approximation includes receiving inputs to be processed using an artificial intelligence (AI) compute engine. The inputs have a first precision. The AI compute engine is configured for processing in a second precision different from the first precision. A first parameter for the inputs and a second parameter for the AI compute engine are defined. The first parameter and the second parameter respectively indicate a first portion of the first precision and a second portion of the second precision to use for computation by the AI compute engine. The inputs and the second set of compute engine parameters are respectively adapted according to the first parameter and the second parameter to generate a first representation and a second representation. An approximation of an AI workload for the inputs is generated based on the first representation and the second representation.
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公开(公告)号：US20250097566A1
公开(公告)日：2025-03-20
申请号：US18469398
申请日：2023-09-18
Applicant: QUALCOMM Incorporated
Inventor： Kai HE , Hau HWANG , Sandesh GHIMIRE , Meng-Lin WU , Venkata Ravi Kiran DAYANA
Abstract: Systems and techniques are described herein for generating image content. For instance, an apparatus for generating image content is provided. The method may include a user interface configured to: display an image of a field of view; and receive a user input indicative of a desired change to the image, wherein the desired change to the image comprises a change to the field of view; and at least one processor configured to: provide at least part of the image and an indication of the desired change as inputs to a generative machine-learning model; obtain an altered image from the generative machine-learning model, wherein the altered image comprises at least part of the image of the field of view and generated pixels outside of the field of view.
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Patent Agency Ranking
公开(公告)号：US20250045868A1
公开(公告)日：2025-02-06
申请号：US18364156
申请日：2023-08-02
Applicant: QUALCOMM Incorporated
Inventor： Hau HWANG , Venkata Ravi Kiran DAYANA
Abstract: Systems and techniques are described herein for Processing data. For instance, a method for processing data is provided. The method may include: obtaining image data having a first resolution; downsampling the image data to generate downsampled image data, wherein the downsampled image data has a second resolution that is lower than the first resolution; processing the downsampled image data to generate processed downsampled image data; and generating, using a machine-learning model, upsampled image data based on the processed downsampled image data and the image data.
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公开(公告)号：US20230080803A1
公开(公告)日：2023-03-16
申请号：US17476283
申请日：2021-09-15
Applicant: QUALCOMM Incorporated
Inventor： Wesley James HOLLAND , Micha GALOR GLUSKIN , Venkata Ravi Kiran DAYANA , Upal MAHBUB , Scott BARKER
Abstract: Systems and techniques are provided for processing one or more frames. For example, a process can include obtaining a first plurality of frames associated with a first settings domain from an image capture system, wherein the first plurality of frames is captured prior to obtaining a capture input. The process can include obtaining a reference frame associated with a second settings domain from the image capture system, wherein the reference frame is captured proximate to obtaining the capture input. The process can include obtaining a second plurality of frames associated with the second settings domain from the image capture system, wherein the second plurality of frames is captured after the reference frame. The process can include, based on the reference frame, transforming at least a portion of the first plurality of frames to generate a transformed plurality of frames associated with the second settings domain.
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公开(公告)号：US20230080715A1
公开(公告)日：2023-03-16
申请号：US17477255
申请日：2021-09-16
Applicant: QUALCOMM Incorporated
Inventor： Micha GALOR GLUSKIN , Wesley James HOLLAND , Jiafu LUO , Venkata Ravi Kiran DAYANA
Abstract: Systems and techniques are described for imaging. An imaging system includes an image sensor with a plurality of photodetectors, grouped into a first group of photodetectors and a second group of photodetectors. The imaging system can reset its image sensor. The imaging system exposes its image sensor to light from a scene. The plurality of photodetectors convert the light into charge. The imaging system stores analog photodetector signals corresponding to the charge from each the photodetectors. The imaging system reads first digital pixel data from a first subset of the analog photodetector signals corresponding to the first group of photodetectors without reading second digital pixel data from a second subset of the analog photodetector signals corresponding to the second group of photodetectors. The imaging system generates an image of the scene using the first digital pixel data.
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公开(公告)号：US20220108454A1
公开(公告)日：2022-04-07
申请号：US17063541
申请日：2020-10-05
Applicant: QUALCOMM Incorporated
Inventor： Chung-Chi TSAI , Sreevatsan MADHAVAN , Shang-Chih CHUANG , Kuang-Jui HSU , Venkata Ravi Kiran DAYANA , Xiaoyun JIANG
Abstract: Systems, methods, and computer-readable media are provided for foreground image segmentation. In some examples, a method can include obtaining a first image of a target and a second image of the target, the first image having a first field-of-view (FOV) and the second image having a second FOV; determining, based on the first image, a first segmentation map that identifies a first estimated foreground region in the first image; determining, based on the second image, a second segmentation map that identifies a second estimated foreground region in the second image; generating a third segmentation map based on the first segmentation map and the second segmentation map; and generating, using the second segmentation map and the third segmentation map, a refined segmentation mask that identifies the target as a foreground region of the first and/or second image.
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公开(公告)号：US20210360179A1
公开(公告)日：2021-11-18
申请号：US17316567
申请日：2021-05-10
Applicant: QUALCOMM Incorporated
Inventor： Shusil DANGI , Hau HWANG , Venkata Ravi Kiran DAYANA
Abstract: An imaging system can obtain image data, for instance from an image sensor. The imaging system can supply the image data as input data to a machine learning system, which can generate one or more maps based on the image data. Each map can identify strengths at which a certain image processing function is to be applied to each pixel of the image data. Different maps can be generated for different image processing functions, such as noise reduction, sharpening, or color saturation. The imaging system can generate a modified image based on the image data and the one or more maps, for instance by applying each of one or more image processing functions in accordance with each of the one or more maps. The imaging system can supply the image data and the one or more maps to a second machine learning system to generate the modified image.
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