Why We Need AI-Based Video Compression
Over the past couple of years, there’s been a significant increase in the popularity of videos. The word around the net is that videos are set to replace images. The problem is that video files are huge, and their current compression methods are clumsy.
This article reviews the current state of video compression and explains how Artificial Intelligence can help solve the current challenges.
Video Compression—What It Is and How It Works
Video compression is the process of converting video files. The goal is to reduce the size of the video, so it would take up less space on devices and systems, and consume less bandwidth when loading. You can compress videos through the use of physical or video codecs, which encode and decode video files.
Compression techniques—lossy vs lossless
There are two compression types. Each utilises a different conversion method. The lossy compression technique eliminates redundant data from the file. By the end of the process, you can achieve a compression ratio of up to 300:1 per video. Lossy compression is irreversible, and every time you use it to convert the file, the quality degrades.
Lossless compression algorithms remove redundant data without damaging quality. The algorithm creates statistical models, and then creates bit sequences. The ...
Read More on Datafloq
This article reviews the current state of video compression and explains how Artificial Intelligence can help solve the current challenges.
Video Compression—What It Is and How It Works
Video compression is the process of converting video files. The goal is to reduce the size of the video, so it would take up less space on devices and systems, and consume less bandwidth when loading. You can compress videos through the use of physical or video codecs, which encode and decode video files.
Compression techniques—lossy vs lossless
There are two compression types. Each utilises a different conversion method. The lossy compression technique eliminates redundant data from the file. By the end of the process, you can achieve a compression ratio of up to 300:1 per video. Lossy compression is irreversible, and every time you use it to convert the file, the quality degrades.
Lossless compression algorithms remove redundant data without damaging quality. The algorithm creates statistical models, and then creates bit sequences. The ...
Read More on Datafloq
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