In the realm of research and development, image and video processing are the two hot topics. Video processing is a type of signal processing that uses video files or video streams as input and output signals.
Video footage is increasingly getting managed using artificial intelligence (AI). Deep learning-based computer vision algorithms are used to identify concepts and faces in video streams, classify movies, add subtitles automatically, and improve videos and images using techniques like super-resolution.
The data channel gets more complicated when dealing with real-time video processing. In addition, we are functioning to reduce streaming video latency. However, we must ensure that the implemented models are accurate enough.
Grand View Research reports that the video stream market will be worth USD 184.27 billion by 2027.
Video processing is a sequence of consequent processes like decoding, computation, and encoding. Working in parallel and optimizing the algorithm for speed are the two easiest ways to achieve accuracy.
In general, file splitting and pipeline design are the two approaches to parallelizing processes
Here is a brief note on how to create your live video processing system:
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