Startup in the video streaming industry needed scene based adaptive encoding.
The company needed near real-time automatic CRF / Bitrate prediction per scene with limited (CPU only) resources.
Frame and optical flow based motion complexity clusterization per scene with deep CNN model trained on the customized complexity estimators generated from the different compression parameters of raw images in the pipeline with CRF classification and Bitrate regression models.
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