公开(公告)号：US20150381557A1

公开(公告)日：2015-12-31

申请号：US14843793

申请日：2015-09-02

Applicant: Huawei Technologies Co., Ltd.

Inventor： Lingyuan FAN ,  Chunfeng YAO ,  Zhefeng YAN

IPC: H04L29/12

CPC classification number: H04L61/10 ,  H04L12/6418 ,  H04L61/1582 ,  H04L61/303

Abstract: Embodiments of the present invention provide a container name server and a method for container name resolution. The container name server includes: a network interface configured to receive a resolution request packet sent by a network node, where the resolution request packet includes a container identification of a container to be resolved; and an execution engine configured to acquire a container identification of an access container of the container to be resolved according to the container identification of the container to be resolved. In embodiments of the present invention, possibilities for solving problems such as scalability and mobility support caused by routing based completely on a content name are provided by introducing a container name server and taking the container name server as a name resolution system in an ICN network.

Abstract translation: 本发明的实施例提供一种容器名称服务器和容器名称解析方法。 容器名称服务器包括：网络接口，被配置为接收由网络节点发送的解析请求分组，其中分辨率请求分组包括要解析的容器的容器标识; 以及执行引擎，被配置为根据要解析的容器的容器标识来获取要解析的容器的存取容器的容器标识。 在本发明的实施例中，通过引入容器名称服务器并将容器名称服务器作为ICN网络中的名称解析系统来提供用于解决由完全基于内容名称的路由引起的可扩展性和移动性支持等问题的可能性。

公开(公告)号：US20150139166A1

公开(公告)日：2015-05-21

申请号：US14609148

申请日：2015-01-29

Applicant: Huawei Technologies Co., Ltd.

Inventor： Chunfeng YAO ,  Lingyuan FAN ,  Zhefeng YAN

IPC: H04L12/741 ,  H04L29/08 ,  H04W40/02

CPC classification number: H04L45/74 ,  G06F17/30867 ,  H04L12/18 ,  H04L12/1859 ,  H04L12/6418 ,  H04L12/66 ,  H04L45/306 ,  H04L67/00 ,  H04L67/141 ,  H04W40/02

Abstract: A method is provided for content subscription in content network. As disclosed in the method, a content requesting node in the content network receives a first interest packet comprising a content identifier through a first port from a first user device, creates a subscription entry comprising the content identifier and an identifier of the first port, sends the first interest packet to the content providing node, receives a second interest packet through a second port from a second user device; adds an identifier of the second port to the subscription entry, receives multiple data packets provided by the content providing node according to the first interest packet, and sends the multiple data packets through the first port and the second port respectively to the first user device and the second user device according to the subscription entry.

Abstract translation: 为内容网络中的内容订阅提供了一种方法。 如该方法所公开的，内容网络中的内容请求节点通过来自第一用户设备的第一端口接收包括内容标识符的第一兴趣分组，创建包括内容标识符和第一端口的标识符的订阅条目，发送 所述第一兴趣分组到所述内容提供节点，经由来自第二用户设备的第二端口接收第二兴趣分组; 将所述第二端口的标识符添加到所述订阅条目，根据所述第一兴趣分组接收由所述内容提供节点提供的多个数据分组，并且将所述多个数据分组通过所述第一端口和所述第二端口分别发送到所述第一用户设备，以及 所述第二用户设备根据所述订阅条目。

公开(公告)号：US20210027094A1

公开(公告)日：2021-01-28

申请号：US17039544

申请日：2020-09-30

Applicant: Huawei Technologies Co., Ltd. ,  Institute of Automation, Chinese Academy of Sciences

Inventor： Bailan FENG ,  Chunfeng YAO ,  Kaiqi HUANG ,  Zhang ZHANG ,  Xiaotang CHEN ,  Houjing HUANG ,  Dangwei LI

IPC: G06K9/62 ,  G06T3/40 ,  G06N20/00

Abstract: Embodiments of the present invention disclose an image processing method, a related device, and a computer storage medium. The method includes: obtaining a feature intensity image corresponding to a training image, where an intensity value of a pixel in the feature intensity image is used to indicate importance of the pixel for recognizing the training image, and resolution of the training image is the same as resolution of the feature intensity image; and occluding, based on the feature intensity image, a to-be-occluded region in the training image by using a preset window, to obtain a new image, where the to-be-occluded region includes a to-be-occluded pixel, and the new image is used to update an image recognition model. According to the embodiments of the present invention, a prior-art problem that a model has low accuracy and relatively poor generalization performance because of limited training data can be resolved.

公开(公告)号：US20200272902A1

公开(公告)日：2020-08-27

申请号：US16809270

申请日：2020-03-04

Applicant: Huawei Technologies Co., Ltd. ,  INSTITUTE OF AUTOMATION, CHINESE ACADEMY OF SCIENCES

Inventor： Bailan FENG ,  Chunfeng YAO ,  Kaiqi HUANG ,  Zhang ZHANG ,  Yang ZHOU

IPC: G06N3/08 ,  G06K9/62 ,  G08G1/005 ,  G06K9/72 ,  G06F9/54

Abstract: The method includes: performing feature extraction on a to-be-detected image at a plurality of different abstraction degrees, to obtain a plurality of first feature maps of a pedestrian attribute; performing convolution on the plurality of first feature maps, to obtain a plurality of second feature maps; mapping each second feature map to a plurality of areas (bins) that overlap each other, and performing max pooling on each bin, to obtain a plurality of high-dimensional feature vectors, where the plurality of bins that overlap each other evenly cover each second feature map; processing the plurality of high-dimensional feature vectors into a low-dimensional vector, to obtain an identification result of the pedestrian attribute; and further obtaining a positioning result of the pedestrian attribute based on the plurality of second feature maps and the plurality of high-dimensional feature vectors.