Huawei Technologies Co., Limited

University of Science and Technology of China

Jie Cheng

Yang Cao

Qian Cao

Haibin Wang

Gang Pan

Lei Jiang

Nu Xia

Boyuan Yu

Zhengjun Zha

Huajin Tang

Dong Xing

Yanhua Li

Qianhui Liu

Haibo Ruan

De Ma

An image processing method and apparatus, and a storage medium are provided, and relate to the image processing field. A dependency relationship between features of texture primitives of an image may be obtained based on direction information and a multi-scale feature map of the image, at least one group of texture features of the image may be obtained based on a feature map of the image on at least one scale, and a texture representation result of the image may be obtained based on the dependency relationship and the at least one group of texture features. Then, the image may be processed based on the texture representation result of the image. Because the texture representation result of the image can reflect more perfect texture information of the image, an image processing effect is better when image processing such as image recognition, image segmentation, or image synthesis is performed.

Image processing method and apparatus, and storage medium

In an object recognition method, an object recognition device obtains AER data of a to-be-recognized object, wherein the AER data includes a plurality of AER events of the to-be-recognized object, each AER event comprising a timestamp and address information. The object recognition device extracts a plurality of feature maps of the AER data. Each feature map including partial spatial information and partial temporal information of the to-be-recognized object, and the partial spatial information and the partial temporal information are obtained based on the timestamp and the address information of each AER event. The object recognition device then recognizes the to-be-recognized object based on the plurality of feature maps of the AER data.

Object recognition method and apparatus

A method for measuring available bandwidth includes a transmit end that sends a first probe sequence to a receive end, and receives a first available bandwidth measurement result from the receive end, the transmit end determines a second probe sequence based on the first available bandwidth measurement result, where the second probe sequence includes a group of probe packets with increasing sending rates, a range of the sending rates of the second probe sequence is the same as a range of the sending rates of the first probe sequence, the transmit end sends the second probe sequence to the receive end, and receives the second available bandwidth measurement result from the receive end, and the transmit end obtains the available bandwidth based on the second available bandwidth measurement result.

Method for measuring available bandwidth and communications apparatus

A network distance prediction method and apparatus, wherein the method includes communicating, with at least two reference nodes, to determine values of at least some elements in a local distance matrix; constructing, the local distance matrix based on the values of the at least some elements in the local distance matrix; performing, low-rank sparse factorization on the local distance matrix to obtain a low-rank matrix; obtaining, values of elements in a first element set of the low-rank matrix, to use the values as target values of network distances between the to-be-positioned node and the at least two reference nodes; communicating, with the reference nodes, to obtain coordinates of the reference nodes in a network coordinate system; and determining, coordinates of the to-be-positioned node.

Network distance prediction method and apparatus

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Shenzhen, China

Jie Cheng