Tencent Technology (shenzhen) Company Limited

Huawei Technologies Co., Limited

Tencent Technology Company Limited

Xiaoming Huang

Jilin Li

Chengjie Wang

Feiyue Huang

Yongjian Wu

Yabiao Wang

Wei Xiao

Lei Wu

Yuan Huang

Zhu Liang

Jiajun Chen

Yanhao Ge

Bo Ren

Mengxi Wang

Zhenye Gan

Yafeng Zhao

Xiaolong Liang

Yannan Wang

Boyuan Jiang

Mingyu Wu

Donghao Luo

Changyou Deng

The present subject matter discloses an action recognition method, apparatus and device, a storage medium, and a computer program product, belonging to the field of image recognition. Multiple video frames in a target video are obtained. Feature extraction is performed on the multiple video frames respectively according to multiple dimensions to obtain multiple multi-channel feature patterns. Each video frame corresponds to one multi-channel feature pattern. Each channel represents one dimension. An attention weight of each multi-channel feature pattern is determined based on a similarity between every two multi-channel feature patterns. The attention weight is used for representing a degree of correlation between a corresponding multi-channel feature pattern and an action performed by an object in the target video. A type of the action is determined based on the multiple multi-channel feature patterns and the determined multiple attention weights.

Action recognition method, apparatus and device, storage medium and computer program product

A bandwidth extension (BWE) method includes: determining parameters of a low-frequency spectrum of a narrowband signal; inputting the parameters of the low-frequency spectrum into a neural network model, and obtaining a correlation parameter based on an output of the neural network model; obtaining a target high-frequency amplitude spectrum based on the correlation parameter and a low-frequency amplitude spectrum; obtaining a high-frequency spectrum based on a low-frequency phase spectrum and the target high-frequency amplitude spectrum of the narrowband signal; and obtaining a broadband signal after BWE based on the low-frequency spectrum and the high-frequency spectrum.

Bandwidth extension method and apparatus, electronic device, and computer-readable storage medium

This present disclosure describes a video image processing method and apparatus, a computer-readable medium and an electronic device, relating to the field of image processing technologies. The method includes determining, by a device, a target-object region in a current frame in a video. The device includes a memory storing instructions and a processor in communication with the memory. The method also includes determining, by the device, a target-object tracking image in a next frame and corresponding to the target-object region; and sequentially performing, by the device, a plurality of sets of convolution processing on the target-object tracking image to determine a target-object region in the next frame. A quantity of convolutions of a first set of convolution processing in the plurality of sets of convolution processing is less than a quantity of convolutions of any other set of convolution processing.

Method, apparatus, and storage medium for processing video image

Crease protector

The present disclosure discloses an image processing method and apparatus. The image processing method comprises: obtaining a two-dimensional image; determining a target area on the two-dimensional image, wherein the two-dimensional image includes a background area and a target area, and the background area is an area outside of the target area; detecting a location of the target area on the two-dimensional image; selecting, according to the location of the target area on the two-dimensional image, a default processing manner used to perform blurring processing on pixels of the background area; and performing the blurring processing on the pixels of the background area according to the default processing manner. The present disclosure solves a problem that in the prior art, the blurring processing manner cannot be adjusted accordingly depending on different target areas on the an image. Therefore, for different target areas, corresponding blurring processing manners thereof are adopted.

Image processing method and apparatus

Embodiments of the present invention relate to a method and a system for obtaining an international mobile equipment identity of a mobile station and a base station controller. The method in this embodiment of the present invention includes: sending, by a base station controller, a request message to a core network device; receiving an accept message of the request message sent by the core network device; sending an identify request message, where a frame sequence number of the identify request message is the same as a frame sequence number of the accept message; receiving an identify response message sent by the mobile station; and re-sending the request message to the core network device in the manner of an unnumbered information frame, where a frame sequence number of the re-sent request message is the same as a frame sequence number of the identify response message.

Method and system for obtaining IMEI of mobile station and base station controller

Growing community of inventors

Shenzhen, China

Xiaoming Huang