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Artificial Intelligence

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Per-Scene Encoding in Test

· One min read
Grigory Grin
Chief Developer Advocate

Per-scene encoding or CAE (Content-Aware Encoding) is a technique used to optimize the size of the encoded output by applying different encoder settings to different parts of the video (scenes). An AI-enhanced solution continuously analyzes content in real-time to determine the best transcoder settings for outstanding video quality and lower bitrates. It's also known as CAE - Content-Aware Encoding or Content-Adaptive Encoding.

Per-scene encoding promises to reduce the output size by an average of 40% (and up to 70%) without compromising visual video quality. But how well it works really?