公开(公告)号：US20150074026A1

公开(公告)日：2015-03-12

申请号：US14020376

申请日：2013-09-06

Applicant: QUALCOMM TECHNOLOGIES INC.

Inventor： Botond Szatmary ,  Eugene Izhikevich

IPC: G06N3/08

CPC classification number: G06N3/049

Abstract: Event based communication in a spiking neuron network may be provided. The network may comprise units communicating by spikes via synapses. Responsive to a spike generation, a unit may be configured to update states of outgoing synapses. The spikes may communicate a payload data. The data may comprise one or more bits. The payload may be stored in a buffer of a pre-synaptic unit and be configured to accessed by the post-synaptic unit. Spikes of different payload may cause different actions by the recipient unit. Sensory input spikes may cause postsynaptic response and trigger connection efficacy update. Teaching input may be used to modulate plasticity.

Abstract translation: 可以提供在尖峰神经元网络中基于事件的通信。 网络可以包括通过突触通过尖峰通信的单元。 响应于尖峰生成，单元可以被配置为更新外出突触的状态。 峰值可以传送有效载荷数据。 数据可以包括一个或多个位。 有效载荷可以存储在突触前单元的缓冲器中，并且被配置为由突触后单元访问。 不同有效负载的峰值可能导致接收单元的不同动作。 感觉输入尖峰可能会引起突触后反应并触发连接功效更新。 教学输入可用于调节可塑性。

公开(公告)号：US20150016745A1

公开(公告)日：2015-01-15

申请号：US14504171

申请日：2014-10-01

Applicant: QUALCOMM TECHNOLOGIES, INC.

Inventor： Christophe BERNARD ,  Sarah LANNES

IPC: G06T5/00

CPC classification number: G06T5/002 ,  G06T7/0002 ,  G06T2207/10024 ,  G06T2207/20016 ,  G06T2207/20021 ,  G06T2207/20064 ,  G06T2207/20182 ,  G06T2207/30168

Abstract: The present invention relates to a method for determining noise levels in a subband of an image. The method comprises receiving the subband of the image, defining block regions in the at least two space domains of the subband, for each defined block region, identifying first wavelet coefficients associated with coordinate values in the at least two space domains in the defined block region, computing a correlation matrix between identified wavelet coefficients to determine the correlation between first wavelet coefficients according to the at least one color domain, computing second wavelet coefficients, the computation of second wavelet coefficients being based on the correlation matrix and the first wavelet coefficients, computing at least one noise level, the noise level computation being based on at least one second wavelet coefficient and providing the at least one noise level.

Abstract translation: 本发明涉及一种用于确定图像子带中噪声电平的方法。 该方法包括接收图像的子带，为每个定义的块区域定义子带的至少两个空间域中的块区域，识别与定义块区域中的至少两个空间域中的坐标值相关联的第一小波系数 计算识别的小波系数之间的相关矩阵，以确定根据至少一个色域的第一小波系数之间的相关性，计算第二小波系数，基于相关矩阵的第二小波系数的计算和第一小波系数，计算 至少一个噪声电平，所述噪声电平计算基于至少一个第二小波系数并提供所述至少一个噪声电平。

公开(公告)号：US20150002689A1

公开(公告)日：2015-01-01

申请号：US13932905

申请日：2013-07-01

Applicant: Qualcomm Technologies, Inc.

Inventor： Assaf Weissman ,  Pia Zobel

IPC: H04N5/235

CPC classification number: H04N5/2355

Abstract: A method, apparatus, and manufacture for generating an HDR image is provided. An original image is received from an HDR interlaced sensor that includes at least two fields captured with different exposures. The fields are separated from each other to provide separate images, and each of the separate images is upscaled. Next, blending is performed on each of the upscaled separate images to generate a high-dynamic range image, and ghost identification is performed on the high-dynamic range image. Subsequently, detail identification is performed on the high-dynamic range image. The detail identification includes identifying areas in the non-ghost areas of the high-dynamic range image that have details, and modifying the high-dynamic image by replacing each of the areas identified to have details with the corresponding area from the original image.

Abstract translation: 提供了一种用于生成HDR图像的方法，装置和制造。 从HDR隔行传感器接收原始图像，其包括用不同曝光捕获的至少两个场。 这些字段彼此分离以提供单独的图像，并且每个单独的图像被放大。 接下来，对每个放大的分离图像进行混合以产生高动态范围图像，并对高动态范围图像执行重影识别。 随后，在高动态范围图像上执行细节识别。 细节识别包括识别具有细节的高动态范围图像的非重影区域中的区域，以及通过将识别为具有与原始图像相对应的区域的细节的每个区域进行修改来修改高动态图像。

公开(公告)号：US20140375836A1

公开(公告)日：2014-12-25

申请号：US13921712

申请日：2013-06-19

Applicant: Qualcomm Technologies, Inc.

Inventor： Amichay Amitay

IPC: H04N5/232

CPC classification number: G06T3/4053 ,  G06K9/46 ,  G06K9/4604 ,  G06K2009/4666 ,  G06T3/40 ,  G06T3/4007 ,  G06T3/403 ,  G06T5/00 ,  G06T2207/20192 ,  G06T2207/20212 ,  G09G2340/045 ,  H04N5/23235

Abstract: A digital camera system for super resolution image processing is provided. The digital camera system includes a resolution enhancement module configured to receive at least a portion of an image, to increase the resolution of the received image, and to output a resolution enhanced image and an edge extraction module configured to receive the resolution enhanced image, to extract at least one edge of the resolution enhanced image, and to output the extracted at least one edge of the resolution enhanced image, the at least one edge being a set of contiguous pixels where an abrupt change in pixel values occur. The digital camera system also includes an edge enhancement module configured to receive the resolution enhanced image and the extracted at least one edge, and to combine the extracted at least one edge or a derivation of the extracted at least one edge with the resolution enhanced image.

Abstract translation: 提供了一种用于超分辨率图像处理的数字照相机系统。 数字照相机系统包括分辨率增强模块，其被配置为接收图像的至少一部分，以增加接收到的图像的分辨率，并且输出分辨率增强图像和边缘提取模块，其被配置为接收分辨率增强图像， 提取分辨率增强图像的至少一个边缘，并且输出提取的分辨率增强图像的至少一个边缘，所述至少一个边缘是发生像素值突然变化的一组连续像素。 数字照相机系统还包括边缘增强模块，其被配置为接收分辨率增强图像和所提取的至少一个边缘，并且将所提取的至少一个边缘或所提取的至少一个边缘的导出与分辨率增强图像组合。

公开(公告)号：US20140149687A1

公开(公告)日：2014-05-29

申请号：US13686604

申请日：2012-11-27

Applicant: QUALCOMM TECHNOLOGIES, INC.

Inventor： Laurent Moll ,  Jean-Jacques Lecler ,  Philippe Boucard

IPC: G06F12/08

CPC classification number: G06F12/0828 ,  G06F12/0676 ,  G06F12/0815 ,  G06F12/0831 ,  G06F12/0891 ,  G06F12/14 ,  G06F12/1491 ,  G06F13/1642

Abstract: A cache coherency controller, a system comprising such, and a method of its operation are disclosed. The coherency controller ensures that target-side security checking rules are not violated by the performance-improving processes commonly used in coherency controllers such as dropping, merging, invalidating, forwarding, and snooping. This is done by ensuring that requests marked for target-side security checking and any other requests to overlapping addresses are forwarded directly to the target-side security filter without modification or side effects.

Abstract translation: 公开了一种高速缓存一致性控制器，包括该系统的系统及其操作方法。 一致性控制器确保目标端安全检查规则不被一致性控制器中通常使用的性能改进流程（如丢弃，合并，无效，转发和侦听）所违反。 这是通过确保标记为目标端安全检查的请求和任何其他重叠地址的请求直接转发到目标端安全过滤器而不进行修改或副作用。

公开(公告)号：US12249138B2

公开(公告)日：2025-03-11

申请号：US17769269

申请日：2020-11-14

Applicant: QUALCOMM Technologies, Inc.

Inventor： Mert Kilickaya ,  Noureldien Mahmoud Elsayed Hussein ,  Efstratios Gavves ,  Arnold Wilhelmus Maria Smeulders

IPC: G06V10/00 ,  G06V10/44 ,  G06V10/75 ,  G06V10/764 ,  G06V10/778 ,  G06V10/80 ,  G06V10/82 ,  G06V20/00 ,  G06V20/52 ,  G06V40/10

Abstract: A method for classifying a human-object interaction includes identifying a human-object interaction in the input. Context features of the input are identified. Each identified context feature is compared with the identified human-object interaction. An importance of the identified context feature is determined for the identified human-object interaction. The context feature is fused with the identified human-object interaction when the importance is greater than a threshold.

公开(公告)号：US20250068547A1

公开(公告)日：2025-02-27

申请号：US18455992

申请日：2023-08-25

Applicant: QUALCOMM Technologies, Inc

Inventor： Noah VAN DER VLEUTEN

IPC: G06F11/36

Abstract: Certain aspects of the present disclosure provide techniques and apparatus for improved program synthesis using machine learning. An input indicating a programming task is accessed. A generated program is generated based on processing the input using a trained machine learning model. In response to determining that the generated program failed to satisfy the programming task, feedback is generated, and a revised program is generated based on processing the feedback using the trained machine learning model. In response to determining that the revised program satisfied the programming task, one or more parameters of the trained machine learning model are updated based on the revised program.

公开(公告)号：US20250056164A1

公开(公告)日：2025-02-13

申请号：US18718427

申请日：2023-03-02

Applicant: QUALCOMM Technologies, Inc.

Inventor： Robert John LITTRELL

IPC: H04R17/00

Abstract: Systems, devices, methods, and implementations related to contact detection are described herein. In one aspect, a system is provided. The system includes a first piezoelectric microelectromechanical systems (MEMS) transducer coupled to configured to generate a first analog signal when the first analog signal is transduced from vibrations propagating through the object. The system includes a second piezoelectric MEMS transducer having configured to generate a second analog signal transduced from acoustic vibrations at a location of the object, and classification circuitry coupled to the output of first piezoelectric MEMS transducer and the output of the second piezoelectric MEMS transducer, where the classification circuitry is configured to process data from the first analog signal and data from the second analog signal, and to categorize combinations of the first analog signal and the second analog signal received during one or more time frames.

公开(公告)号：US20240412459A1

公开(公告)日：2024-12-12

申请号：US18740698

申请日：2024-06-12

Applicant: QUALCOMM Technologies, Inc.

Inventor： Dieter SCHMALSTIEG ,  Markus STEINBERGER ,  Daniel MLAKAR

IPC: G06T17/20 ,  G06T9/00 ,  G06T15/00 ,  G06T17/10

Abstract: The present disclosure relates to methods and apparatus for graphics processing. The apparatus may identify at least one mesh associated with at least one frame. The apparatus may also divide the at least one mesh into a plurality of groups of primitives, each of the plurality of groups of primitives including at least one primitive and a plurality of vertices. The apparatus may also compress the plurality of groups of primitives into a plurality of groups of compressed primitives, the plurality of groups of compressed primitives being associated with random access. Additionally, the apparatus may decompress the plurality of groups of compressed primitives, at least one first group of the plurality of groups of compressed primitives being decompressed in parallel with at least one second group of the plurality of groups of compressed primitives.

公开(公告)号：US20240303477A1

公开(公告)日：2024-09-12

申请号：US17754906

申请日：2020-11-16

Applicant: QUALCOMM Technologies, Inc.

Inventor： Shuai LIAO ,  Efstratios GAVVES ,  Cornelis Gerardus Maria SNOEK

IPC: G06N3/08

CPC classification number: G06N3/08

Abstract: Embodiments include methods, and processing devices for implementing the methods. Various embodiments may include calculating a batch softmax normalization factor using a plurality of logit values from a plurality of logits of a layer of a neural network, normalizing the plurality of logit values using the batch softmax normalization factor, and mapping each of the normalized plurality of logit values to one of a plurality of manifolds in a coordinate space. In some embodiments, each of the plurality of manifolds represents a number of labels to which a logit can be classified. In some embodiments, at least one of the plurality of manifolds represents a number of labels other than one label.