Design and implementation of high-performance video synthesizer based on Swoole

With the popularization of mobile Internet and 5G technology, video has become an important part of people's lives. As an important tool in the video editing process, video synthesizer has also received more and more attention. This article will introduce the design and implementation of a high-performance video synthesizer based on Swoole.

1. Overview

With the increasing demand for large-scale video production, video synthesis technology is becoming more and more important. Traditional video synthesizers usually use CPUs for processing, but due to the large amount of video data, the synthesis speed is very slow and cannot meet user needs. Some companies improve video synthesis speed by using parallelized CPU acceleration or GPU acceleration. However, these solutions require huge hardware equipment support, and the efficiency and cost are not satisfactory.

Based on this, we consider using the Swoole framework for video synthesis. Swoole is a high-performance PHP extension that can convert PHP code into C code and use C's multi-threading and asynchronous IO technology to achieve high-concurrency and high-performance network applications. We can use Swoole's concurrent processing capabilities to increase the speed of video synthesis.

2. Design and Implementation

The design of the video synthesizer includes two parts: data processing and data output. Data processing includes audio and video decoding, style editing, and animation special effects addition. Data output includes video compression, rendering and storage.

1. Data processing

The data processing part is the core of the entire video synthesizer. It mainly includes the following steps:

(1) Audio and video decoding: The video synthesizer needs to decode the uploaded video and audio. After decoding, we can obtain each frame of video and each frame of audio data.

(2) Style editing: For different videos, we will add style, background, text and other information according to needs. This information and the video itself can be combined to form an entirely new video.

(3) Add animation special effects: We can enrich the dynamic effects of the video by adding some special effects, such as gradient, rotation and scaling. These effects also need to be processed and combined with the original video files. The processing of special effects requires GPU acceleration, and the GPU part of the code needs to be implemented using CUDA.

The above steps are executed serially, which is too slow compared to the processing power of the CPU. Therefore, we considered using Swoole to implement parallel processing. We can use Swoole's coroutine and asynchronous IO technology to process audio and video decoding, style editing and animation special effects respectively. In this way, highly concurrent data processing can be achieved. At the same time, we can also use message queues to process input and output data.

2. Data output

The data output part is to output the processed video files to the client in a certain format. This process requires processing such as rendering, encoding and storage. The storage needs to use the coroutine MySQL client library provided by Swoole to store the video files in the database. Encoding needs to be performed using the asynchronous IO technology provided by Swoole.

3. Summary

This article introduces the design and implementation of a high-performance video synthesizer based on Swoole, which mainly includes two parts: data processing and data output. In the data processing part, we use Swoole's coroutine and asynchronous IO technology to achieve high concurrency data processing. In the data output part, we use the coroutine MySQL client library and asynchronous IO technology provided by Swoole to implement video storage and encoding. Through the application of these technologies, we achieve an efficient and high-performance video synthesizer.

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