Guangdong Oppo Mobile Telecommunications Corp., Ltd.

Zte Corporation

Shenzhen Heytap Technology Corp., Ltd.

Jian Kang

Jun Xu

Qiujin Guo

Qiang Fu

Mengzhu Chen

Xiaoying Ma

Jin Xu

Chulong Liang

A wireless communication method for use in a wireless terminal is disclosed. The wireless communication method comprises determining an intermediate transport block size (TBS) for a transport block transmitted between the wireless terminal and a wireless network node based on a plurality of transmission parameters, modifying the intermediate TBS to generate a modified TBS in response to at least one event, and determining a final TBS based on the modified TBS and a specific step in response to the at least one event, wherein the specific step is determined based on the plurality of transmission parameters.

Method for a transport block size determination procedure

The present application relates to methods, systems, and devices related to digital wireless communication, and more specifically, to techniques related to determining a transport block size. In one exemplary aspect, a method for wireless communication is disclosed. The method includes receiving, by a terminal, a first message that identifies a first coding rate and a second coding rate. The method also includes performing, by the terminal, a first operation relating to a first coding operation and using the first coding rate. The method also includes performing, by the terminal, a second operation relating to a second coding operation and using the second coding rate. The method also includes transmitting or receiving, by the terminal, a second message using information related to the first operation and/or the second operation.

Transport block size determination

The present application relates to methods, systems, and devices related to digital wireless communication, and more specifically, to techniques related to channel coding and modulation. In one exemplary aspect, a method for wireless communication is disclosed. The method includes performing multiple operations that include a first operation related to pre-channel coding and/or a second operation comprising attaching redundancy check bits in an order. The method can also include generating a transmission waveform by a first node using one or more bits for transmission to a second node over a wireless channel using information derived from the multiple operations.

Channel coding and modulation

The present application relates to methods, systems, and devices related to digital wireless communication, and more specifically, to techniques related to a control channel monitoring procedure. In one exemplary aspect, a method for wireless communication is disclosed. The method includes detecting, by a terminal, an occurrence of an event. The method also includes selecting, by the terminal, a monitoring configuration based on the occurrence of the event. The method also includes resetting or stopping, by the terminal, any of a first timer and/or a second timer based on the occurrence of the event. The method also includes monitoring, by the terminal, a control channel according to the selected monitoring configuration.

Control channel monitoring procedure

Provided are a depth data filtering method and apparatus, an electronic device, and a readable storage medium. The method includes: obtaining, for each pixel, a depth difference value between two consecutive frames of depth maps; marking an area formed by pixels as a first environment change area, the depth difference value of the pixels is smaller than a predetermined absolute depth deviation; marking an area formed by pixels as a second environment change area, the depth difference value of the pixels is greater than or equal to the predetermined absolute depth deviation; respectively filtering the first environment change area and the second environment change area.

Depth data filtering method and apparatus, electronic device, and readable storage medium

Provided are a depth image processing method, a depth image processing apparatus, an electronic device and a readable storage medium. The method includes: () obtaining consecutive n depth image frames; () determining a trusted pixel and determining a smoothing factor corresponding to the trusted pixel; () determining a time similarity weight; () determining a content similarity; () determining a content similarity weight based on the content similarity and the smoothing factor; and () performing filtering processing on a depth value of the trusted pixel based on all time similarity weights and all content similarity weights.

Depth image processing method and apparatus, electronic device, and readable storage medium

Provided is a virtual object processing method. The virtual object processing method includes: detecting a spatial plane in a scene where a first device is located; detecting real objects in the scene to determine a plurality of real object position boxes; determining, based on a matching relation between the plurality of real object position boxes and the spatial plane in the scene, a candidate position box set from the plurality of real object position boxes; determining, in response to a virtual object configuration operation for a target position box in the candidate position box set, position information of the virtual object in the target position box; transmitting position on the virtual object and the position information of the virtual object in the target position box to a second device for displaying the virtual object on the second device.

Virtual object processing method and apparatus, and storage medium and electronic device

A method for correcting a distorted image includes: acquiring a first coordinate of each pixel in a distorted image to be corrected; determining internal parameters for shooting the distorted image; acquiring a second coordinate corresponding to the first coordinate based on a corresponding relationship between the internal parameters and image distortion degrees, in which the second coordinate is an undistorted coordinate; acquiring a distance between the first coordinate and a coordinate of a center point of the distorted image, and determining a smoothing processing coefficient corresponding to the distance based on a smoothing processing function, in which the smoothing processing function is configured to indicate a proportional relationship between the distance and the smoothing processing coefficient; and acquiring a distortion correction image by performing smoothing correction on each first coordinate based on the smoothing processing coefficient and the second coordinate.

Image distortion correction method and apparatus

The present disclosure provides a depth image processing method and apparatus, and an electronic device. The method includes: acquiring a first image acquired by a depth sensor and a second image acquired by an image sensor; determining a scene type according to the first image and the second image; and performing a filtering process on the first image according to the scene type.

Depth image processing method and apparatus, and electronic device

The present disclosure discloses an image sensor, an imaging device, a mobile terminal and an imaging method. The image sensor comprises a photosensitive pixel array and a filer arranged on the photosensitive pixel array. The filter comprises a filer unit array comprised a plurality of filter units, wherein each filter unit covers N photosensitive pixels, and some of the filter units comprise white filter areas. The white filter areas cover at least one of the N photosensitive pixels of the N photosensitive pixels, wherein a merged pixel is formed by the N photosensitive pixels covered by the same filter unit, wherein N is a positive integer.

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Guangdong, China

Jian Kang