Huawei Technologies Co., Limited

Tencent Technology (shenzhen) Company Limited

Shenzhen Yibo Science and Technology Ltd.

Yi Song

Peiyun Di

Hui Zhao

Qingpeng Xie

Yuanxiang Chen

Jinsong Xu

Qing Dong

Yan Zhang

Jiantong Zhou

Jiali Fu

Yonggen Ling

Shaolin Chen

Shujiang Song

Jun Zha

Lin Chao Bao

Maozheng Liu

Yixuan Zhang

Xuhong Zeng

Huakun Du

Hao Yao

Jiangming Chen

Xue Fei Zhe

Saiping Zhang

An encoding method includes: an encoder obtains a reconstructed block of a base layer of a to-be-encoded picture block; calculates a difference between corresponding pixels in the to-be-encoded picture block and the reconstructed block of the base layer to obtain a residual block of an enhancement layer of the to-be-encoded picture block; determines a transform-block partitioning manner of the residual block of the enhancement layer; and performs transformation on the residual block of the enhancement layer based on the transform-block partitioning manner. This application can simplify a processing procedure for the encoder and improve encoding efficiency of the encoder. In addition, compression efficiency of the residual block can be improved more effectively by using an adaptive TU partitioning method.

Encoding and decoding methods and apparatuses for enhancement layer

This application provides a spherical image processing method which includes: obtaining a spherical image and determining a sphere center of the spherical image; determining a viewpoint of a user when the user views the spherical image, where the viewpoint is located at any point, other than the sphere center, in a sphere space surrounded by the spherical image; determining a pixel expansion region and a pixel shrinkage region on the spherical image based on the sphere center and the viewpoint; and performing an image processing operation on the spherical image, where the image processing operation comprises a pixel expansion processing operation on an image in the pixel expansion region, and a pixel shrinkage processing operation on an image in the pixel shrinkage region.

Spherical image processing method and apparatus, and server

This application provides a video processing method and apparatus. The method includes: adding, by a server, perception attribute information of an object and spatial location information of the object to a video bitstream or a video file, and encapsulating the video bitstream or the video file, where the perception attribute information is used to indicate a property presented when the object is perceived by a user; and obtaining, by a terminal device, the video bitstream or the video file that carries the perception attribute information of the object and the spatial location information of the object, and performing perception rendering on a perception attribute of the object based on behavior of the user, the perception attribute information of the object and the spatial location information of the object.

Video processing method and apparatus

Disclosed is a generator device using potential energy, relating to the field of new technologies. The generator device using potential energy includes a ball buoy and connecting rods, the ball buoy includes a casing, flywheels, a transmission gear and generators, the flywheel, the transmission gear and the generators are located inside the casing. A generator gear is provided on a rotary shaft of each of the generators, the transmission gear is provided with external teeth and internal teeth, and the generator gear is engaged with the internal teeth, and the flywheels are engaged with the external teeth. The connecting rods are each connected with one of the flywheels inside the casing through a rotating shaft arranged on the casing, and the flywheels are driven to rotate in one direction by the connecting rods through the rotating shaft.

Generator device using potential energy

An image processing method includes determining, based on a coordinate position of a to-be-interpolated sample in a target image, a first coordinate position of the to-be-interpolated sample in a source image, determining m reference samples based on the first coordinate position, determining an interpolation weight of each of the m reference samples for the to-be-interpolated sample based on a spherical distance between a coordinate position of each of the m reference samples and the first coordinate position, and determining a pixel value of the to-be-interpolated sample based on a pixel value corresponding to each of the m reference samples and the interpolation weight of each of the m reference samples for the to-be-interpolated sample to obtain the target image.

Image processing method, related device, and computer storage medium

A face image generation method includes: determining, according to a first face image, a three dimensional morphable model (3DMM) corresponding to the first face image as a first model; determining, according to a reference element, a 3DMM corresponding to the reference element as a second model, the reference element representing a posture and/or an expression of a target face image; determining, according to the first model and the second model, an initial optical flow map corresponding to the first face image, and deforming the first face image according to the initial optical flow map to obtain an initial deformation map; obtaining, through a convolutional neural network, an optical flow increment map and a visibility probability map that correspond to the first face image; and generating the target face image according to the first face image, the initial optical flow map, the optical flow increment map, and the visibility probability map.

Face image generation method and apparatus, device, and storage medium

An image processing method and apparatus. The image processing method includes: obtaining encoded data of a first region and a neighboring region neighboring to the first region in a two-dimensional planar image, where the two-dimensional planar image is an image obtained by mapping a spherical panorama image, and the first region and the neighboring region have an overlapping region; determining a pixel value of a pixel in an image of the first region; determining a pixel value of a pixel in an image of the neighboring region; and determining a target pixel value of a pixel in the overlapping region based on the pixel value of the pixel of the first region in the overlapping region and the pixel value of the pixel of the neighboring region in the overlapping region.

Image processing method and apparatus

An image processing method includes performing horizontal division and vertical division on a longitude-latitude map or a sphere map of a to-be-processed image to obtain sub-areas of the longitude-latitude map or the sphere map, where a division location of the horizontal division is a preset latitude, a division location of the vertical division is determined by a latitude, there are at least two types of vertical division intervals in an area formed by adjacent division locations of the horizontal division, and a vertical division interval is a distance between adjacent division locations of the vertical division, and encoding images of the sub-areas.

Image processing method, terminal, and server

A dispatching method for polling device data. The method comprises: sorting managed devices according to their types, sorting various types of data of each device so as to form different modules, and assigning a priority attribute and a polling period attribute to each module; dividing the managed devices into two sets: one set consisting of devices to be polled and the other set consisting of devices whose connection states need to be detected; and polling each module in the set consisting of devices to be polled according to its priority and polling period periodically. Different polling periods can be set and different polling policies can be applied according to data changeability. Polling policies can be changed in real time and flexibly based on the condition of devices.

Scheduling method for polling device data

Disclosed is a method for improving data processing efficiency including the following steps: 1) assigning each client browse window a corresponding memory block in the server, taking the amount of data to be displayed in a browse window as a data block, and saving temporarily in each memory block the N data blocks of the database that are corresponding to each browse window, respectively; 2) when the data displayed in the client browse window moves, if the data block to be displayed in the browse window and the neighboring data blocks thereof are all in the memory block, moving the data in the memory block, otherwise, saving the data block to be displayed in the browse window and the neighboring data blocks thereof in the memory block, and replacing the original data blocks in the memory block; 3) the client sending data operating commands to the server, and carrying out relevant operations on the database data; 4) after finishing the operations, updating the database with the database data in the relevant memory block. The disclosed method may be easily implemented, and meanwhile it serves the purpose of saving system resource, increasing the speed of data processing, and improving the efficiency thereof.

Method for increasing data processing efficiency

The invention discloses a dispatching method for polling device data. The method comprises the steps of: sorting managed devices according to their types, sorting various types of data of each device so as to form different modules, and assigning a priority attribute and a polling period attribute to each module; dividing the managed devices into two sets: one set consisting of devices to be polled and the other set consisting of devices whose connection states need to be detected; and polling each module in the set consisting of devices to be polled according to its priority and polling period periodically. With this invention, different polling periods can be set and different polling policies can be applied according to data changeability. In addition, polling policies can be changed in real time and flexibly based on the condition of devices. Furthermore, all devices in the network management system are dispatched jointly, so total system load and network load of the network management system can be controlled effectively, and the system resources can be used reasonably.

Growing community of inventors

Shenzhen, China

Yi Song