Tencent Technology (shenzhen) Company Limited

Yaqing Li

Chengjie Tu

Jun Zhao

Liang Wang

Jianping Zhu

Jingran Wu

Shishen Xu

Hao Li

Sixin Lin

Jianfeng Xu

Hongshun Zhang

Kezhou Yan

Zirong Zhu

Liusong Zhu

Feiling Fu

Ru Wang

Shiyao Xiong

Linyan Jiang

Longtao Peng

Chencheng Li

Juncheng Ma

A computing device obtains a to-be-processed video frame sequence of a first resolution. For each to-be-processed video frame in the to-be-processed video frame sequence, the computing device: (i) performs resolution reconstruction according to a resolution reconstruction model so as to obtain an initial reconstructed video frame of a second resolution, (ii) determines a contour region in the initial reconstructed video frame; and (iii) performs contour enhancement on the contour region to obtain a target reconstructed video frame. The computing device generates a reconstructed video frame sequence of the second resolution according to a plurality of target reconstructed video frames corresponding to the plurality of to-be-processed video frames.

Super-resolution reconstruction method and related apparatus

A video data processing method is provided to a server. The method includes: obtaining a video sequence associated with a video source and obtaining a video quality standard parameter associated with the video sequence; determining a video feature according to video quality standard parameter; predicting an encoding bit rate according to the video quality standard parameter and the video feature; and encoding the video sequence according to the encoding bit rate to obtain an encoded video sequence associated with the video source.

Video data processing method and apparatus, and storage medium

A video data processing method is provided. In the method, video features of a target video are acquired. The video features include background features and key part region features. An expected quality of a key part of the target video is acquired. The expected quality of the key part corresponds to an image quality of the key part in a transcoded target video after the target video is transcoded. A background prediction transcoding parameter of the target video is determined based on the background features and an expected quality of a background. The expected quality of the background corresponds to an overall image quality of the transcoded target video. A target transcoding parameter prediction value is determined based on the background features, the key part region features, and the background prediction transcoding parameter. The target video is transcoded according to the target transcoding parameter prediction value.

Video data processing

Embodiments of the present disclosure provide an inter-frame prediction method performed at a computing device. The method includes: determining at least one reference encoded block spatially adjacent to a to-be-processed prediction unit of a to-be-processed encoded block; for each preset reference frame, separately determining a corresponding AMVP of the to-be-processed prediction unit according to reference information of each reference encoded block; determining a target AMVP under the reference frames, and using a reference frame corresponding to the target AMVP as a candidate reference frame; when the candidate reference frame is different from the first reference frame, performing motion estimation on the to-be-processed prediction unit separately and determining a target reference frame from the candidate reference frame and the first reference frame according to their corresponding encoding costs obtained through the motion estimation.

Inter-prediction method and apparatus, and storage medium

This application discloses a resource allocation method, an allocation node, and an access node. The method includes: receiving a service request message sent by an access node, the service request message from the access node indicating a to-be-processed service in the access node, and obtaining work queue status information of a resource node. The method further includes allocating, according to the service request message and the work queue status information, the to-be-processed service to a resource node; receiving allocation, by the access node, of a resource node for the to-be-processed service and generating an allocation result; and sending the allocation result to the access node. The access node further sends a task request to the allocated resource node according to the allocation result.

Distributed resource allocation method, allocation node, and access node

A method and apparatus for controlling access to a hash-based disk is provided, the disk comprising a storage object, the storage object comprising a set of records and a hash value, the method comprising constructing a Bloom filter for the storage object; reading the set of records in the storage object; and filtering an access request to the storage object using the Bloom filter. In accordance with embodiments of the present invention, access requests to storage objects on the disk are filtered by a Bloom filter to reduce unnecessary accesses to the disk, and input and output accesses to the disk are reduced.

Method and apparatus method and apparatus for controlling access to a hash-based disk

The present invention discloses a data storage space processing method and processing system, and a data storage server. The data storage space processing method includes: dividing a disk and memory resource into tablets; dividing memory space of a tablet into different logical objects; and dividing, according to a fixed size, disk space of the tablet into multiple data blocks that are of a same size. According to the data storage space processing system and method provided in embodiments of the present invention, a disk and memory resource on a storage server is divided into independent tablets, and the tablets are used as basic service resource allocating and managing units, which can implement multiplexing of a single-node resource on multiple services. Besides, by using hybrid indexing and associated write combining and block recycling technologies, random write IOPS of a system is improved, and index memory space can also be significantly saved.

Data storage space processing method and processing system, and data storage server

Growing community of inventors

Shenzhen, China

Yaqing Li