公开(公告)号：US20190125271A1

公开(公告)日：2019-05-02

申请号：US16227955

申请日：2018-12-20

Applicant: QUALCOMM Incorporated

Inventor： Harinath GARUDADRI ,  Pawan Kumar BAHETI

IPC: A61B5/00 ,  H03M7/30 ,  G06K9/00 ,  A61B5/1455 ,  G01R13/02

Abstract: Certain aspects of the present disclosure relate to a method for compressed sensing (CS). The CS is a signal processing concept wherein significantly fewer sensor measurements than that suggested by Shannon/Nyquist sampling theorem can be used to recover signals with arbitrarily fine resolution. In this disclosure, the CS framework is applied for sensor signal processing in order to support low power robust sensors and reliable communication in Body Area Networks (BANs) for healthcare and fitness applications.

公开(公告)号：US20220256169A1

公开(公告)日：2022-08-11

申请号：US17165680

申请日：2021-02-02

Applicant: QUALCOMM Incorporated

Inventor： Mahant SIDDARAMANNA ,  Naveen SRINIVASAMURTHY ,  Apoorva NAGARAJAN ,  Prasant Shekhar SINGH ,  Pawan Kumar BAHETI ,  Narendranath MALAYATH

IPC: H04N19/147 ,  H04N19/19 ,  H04N19/159 ,  H04N19/176 ,  G06N3/04

Abstract: Systems and techniques are described for data encoding using a machine learning approach to generate a distortion prediction {circumflex over (D)} and a predicted bit rate {circumflex over (R)}, and to use {circumflex over (D)} and {circumflex over (R)} to perform rate-distortion optimization (RDO). For example, a video encoder can generate the distortion prediction {circumflex over (D)} and the bit rate residual prediction based on outputs of the one or more neural networks in response to the one or more neural networks receiving a residual portion of a block of a video frame as input. The video encoder can determine bit rate metadata prediction based on metadata associated with a mode of compression, and determine {circumflex over (R)} to be the sum of and . The video encoder can determine a rate-distortion cost prediction Ĵ as a function of {circumflex over (D)} and {circumflex over (R)}, and can determine a prediction mode for compressing the block based on Ĵ.

公开(公告)号：US20210169426A1

公开(公告)日：2021-06-10

申请号：US17182096

申请日：2021-02-22

Applicant: QUALCOMM Incorporated

Inventor： Harinath GARUDADRI ,  Pawan Kumar BAHETI

IPC: A61B5/00 ,  G01R13/02 ,  A61B5/1455 ,  G06K9/00 ,  H03M7/30

Abstract: Certain aspects of the present disclosure relate to a method for compressed sensing (CS). The CS is a signal processing concept wherein significantly fewer sensor measurements than that suggested by Shannon/Nyquist sampling theorem can be used to recover signals with arbitrarily fine resolution. In this disclosure, the CS framework is applied for sensor signal processing in order to support low power robust sensors and reliable communication in Body Area Networks (BANs) for healthcare and fitness applications.

公开(公告)号：US20210005012A1

公开(公告)日：2021-01-07

申请号：US17031315

申请日：2020-09-24

Applicant: QUALCOMM Incorporated

Inventor： Pushkar GORUR SHESHAGIRI ,  Pawan Kumar BAHETI ,  Ajit Deepak GUPTE ,  Sandeep Kanakapura LAKSHMIKANTHA

IPC: G06T15/20 ,  G06F3/01 ,  G06F3/0481 ,  G02B27/01 ,  G02B27/00 ,  G06F1/16 ,  G06F3/03 ,  G06F3/0484 ,  G06T7/70 ,  G06T13/40 ,  G06T19/00

Abstract: Methods, devices, and apparatuses are provided to facilitate a positioning of an item of virtual content in an extended reality environment. For example, a placement position for an item of virtual content can be transmitted to one or more of a first device and a second device. The placement position can be based on correlated map data generated based on first map data obtained from the first device and second map data obtained from the second device. In some examples, the first device can transmit the placement position to the second device.

公开(公告)号：US20190236835A1

公开(公告)日：2019-08-01

申请号：US16376857

申请日：2019-04-05

Applicant: QUALCOMM Incorporated

Inventor： Pushkar GORUR SHESHAGIRI ,  Pawan Kumar BAHETI ,  Ajit Deepak GUPTE ,  Sandeep Kanakapura LAKSHMIKANTHA

IPC: G06T15/20 ,  G06F3/0484 ,  G06T7/70 ,  G06F1/16 ,  G02B27/00 ,  G06F3/03 ,  G06T19/00 ,  G06T13/40 ,  G06F3/01 ,  G02B27/01 ,  G06F3/0481

Abstract: Methods, devices, and apparatuses are provided to facilitate a positioning of an item of virtual content in an extended reality environment. For example, a first user may access the extended reality environment through a display of a mobile device, and in some examples, the methods may determine positions and orientations of the first user and a second user within the extended reality environment. The methods may also determine a position for placement of the item of virtual content in the extended reality environment based on the determined positions and orientations of the first user and the second user, and perform operations that insert the item of virtual content into the extended reality environment at the determined placement position.

公开(公告)号：US20150063700A1

公开(公告)日：2015-03-05

申请号：US14268904

申请日：2014-05-02

Applicant: QUALCOMM Incorporated

Inventor： Rajiv SOUNDARARAJAN ,  Kishor Kumar BARMAN ,  Pawan Kumar BAHETI

IPC: G06K9/18

CPC classification number: G06K9/18 ,  G06K9/344 ,  G06K9/6821 ,  G06K9/723 ,  G06K2209/01

Abstract: Embodiments disclosed pertain to Optical Character Recognition using Multiple Hypothesis Testing based techniques on images occurring in a variety of settings, including images captured by mobile stations. In some embodiments, a set of bifurcation points for a character cluster in an image may be determined. The character cluster may comprise non-uniformly spaced text or closely spaced text. A plurality of hypotheses may be determined for the character cluster, where each hypothesis is based on a subset of the bifurcation points and comprises a set of words generated from the character cluster. A plurality of scores corresponding to the plurality of hypotheses may be determined, where each score corresponds to a hypothesis, and a hypothesis may be selected from among the plurality of hypotheses based on a score associated with the selected hypothesis.

Abstract translation: 所公开的实施例涉及使用基于多种假设检验技术的光学字符识别，所述技术包括在各种设置中出现的图像，包括由移动台捕获的图像。 在一些实施例中，可以确定图像中的字符簇的一组分叉点。 字符簇可以包括非均匀间隔的文本或紧密间隔的文本。 可以针对字符簇确定多个假设，其中每个假设基于分支点的子集，并且包括从字符簇生成的一组单词。 可以确定与多个假设相对应的多个分数，其中每个分数对应于假设，并且可以基于与所选择的假设相关联的评分从多个假设中选择假设。