The bitrate demand of high-quality video files can result in slow streaming starts, buffering and exceedingly high CDN and storage costs. It can even limit your ability to deliver revenue-generating content over constrained IP networks. 

Encoding.com users can overcome these challenges by employing content-adaptive bitrate (CABR) encoding technology from industry leader Beamr to guarantee the smallest file size without any compromise in quality.

Beamr’s CABR technology  is accessible as one of Encoding.com’s comprehensive and growing suite of microservices. We enable the use of Beamr’s 5x HEVC and 4x AVC CABR encoding engines, both of which make smarter encoding decisions based on the absolute visual quality of each video frame. Frames with high motion and detailed textures get more bits, while frames with low motion and smooth surfaces get fewer bits. As a result, action movies can see a 25% bitrate reduction or more, and non-action content up to a 50% reduction.

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Frame-Level CABR Encoding

With traditional encoding, video is compressed based on settings that apply to the least common denominator of the visual content, leading to the potential for complex scenes to display poor video quality and simple scenes to contain more bits than necessary. Other content-aware solutions reduce bitrate by evaluating content on a per title, per scene or per GOP level; in the process they can negatively impact video quality. Beamr’s CABR technology stands apart by adapting encoding settings per frame to guarantee the video quality while reducing the encoded bitrate.

With over 48 granted patents, Beamr’s CABR technology utilizes a novel quality measurement algorithm that leverages the perceptual qualities of the human visual system. The solution applies several compression levels to each video frame, comparing the subjective quality of input and output frames for each level. When the frame quality falls within an acceptable threshold, the encoder outputs the frame and moves on to the next one, ensuring that each frame is encoded using the least number of bits while fully maintaining optimal quality. 

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