Applying AI to Real-Time Video Processing: The Basics and More

If you look beyond image processing--it's one of the most common use cases for AI. And just like image processing, video processing uses established techniques like computer vision, object recognition, machine learning, and deep learning to enhance this process. Whether you use computer vision and NLP in video editing and generation, object recognition in video content auto-tagging tasks, machine learning to streamline AI video analysis, or deep learning to expedite real-time background removal, the use cases continue to grow by the day. Keep reading to learn what approach you can take when it comes to using AI in video processing. Let's start with the basics. Real-time video processing is an essential technology in surveillance systems using object and facial recognition.