Video coding method, device and equipment and storage medium

Abstract

The embodiment of the invention discloses a video coding method and device, equipment and a storage medium. The method comprises the following steps: according to the actual coding weight of each macro block subset of a current video frame in a previous video frame and the actual coding rate of each coded macro block subset in the current video frame, predicting the pre-coding rate of the currentvideo frame for the coding of the current macro block subset; and based on the code rate difference between the pre-coding code rate and the pre-allocation code rate of the current video frame under the current network bandwidth, adjusting the actual coding quantization parameter of the current macro block subset in the previous video frame to obtain the target coding quantization parameter of thecurrent macro block subset in the current video frame. According to the technical scheme provided by the embodiment of the invention, the coding overhead and the coding complexity in the video codingprocess are greatly reduced, the high efficiency of video coding is improved, and the stability of the video coding quality is improved on the basis of ensuring that the network bandwidth fluctuationis met.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of video transmission, and in particular, to a video coding method, device, device, and storage medium. Background technique [0002] With the rapid development of Internet technology and the increase of user demand for high-definition video, the amount of video data interacted with multimedia resources is also increasing. At this time, when video is transmitted, video compression and decoding technology is usually used to effectively extract video data. Redundant information enables fast transmission and offline storage of video data on the Internet. In order to adapt to the bandwidth and equipment conditions of different transmission users, the source video will be encoded at the corresponding bit rate. In the existing video encoding, the higher the encoding complexity, the better the encoding quality, but the encoding is time-consuming. It will also be longer, and too long encoding ...

AI Technical Summary

Problems solved by technology

In order to adapt to the bandwidth and equipment conditions of different transmission users, the source video will be encoded at the corresponding bit rate. In the existing video encoding, the higher the encoding complexity, the better the encoding quality, but the encoding is time-consuming. It will also be longer, and the long encoding time will cause the user to freeze when playing the video. Therefore, on the basis of ensuring high-quality encoding, it is also necessary to increase the encoding speed to reduce the encoding time during video transmission.

[0003] At present, most of the existing fast video coding methods are based on the transformation of the encoder itself. From frame-level coding to block coding, under the influence of the expected network bandwidth, a large number of recursive algorithms used in the coding decision-making part are continuously used to analyze the quality of each video frame. Image complexity, and then calculate the encoding rate used by each encoding block in the video frame; at this time, it is necessary to calculate the encoding cost of each encoding block at each recursive depth by analyzing the image complexity, resulting in a large amount of calculation burden and increasing the video Encoding overhead during transmission

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