Video Encoding Complexity Predictor
    3.
    发明公开

    公开(公告)号:US20240121400A1

    公开(公告)日:2024-04-11

    申请号:US18371830

    申请日:2023-09-22

    申请人: Bitmovin GmbH

    摘要: Techniques for predicting video encoding complexity are described herein. A method for predicting video encoding complexity includes performing video complexity feature extraction on a video segment to extract low-complexity frame-based features, predicting video encoding complexity for the video segment using the low-complexity frame-based features, and outputting a predicted encoding bitrate and a predicted encoding time. An embodiment may include implementing a hybrid model using a CNN, wherein a latent vector from a frame of the video segment is extracted and also may be used to predict video encoding complexity. The predicted encoding bitrates and encoding times may be provided to encoding infrastructure for use in optimizing a schedule of encodings.

    Efficient Two-Pass Encoding Scheme for Adaptive Live Streaming

    公开(公告)号:US20240114183A1

    公开(公告)日:2024-04-04

    申请号:US18371852

    申请日:2023-09-22

    申请人: Bitmovin GmbH

    IPC分类号: H04N21/2343 H04N21/234

    摘要: Techniques for efficient two-pass encoding for live streaming are described herein. A method for efficient two-pass encoding may include extracting low-complexity features of a video segment, predicting an optimized constant rate factor (CRF) for the video segment using the low-complexity features, and encoding the video segment with the optimized CRF at a target bitrate. A system for efficient two-pass encoding may include a feature extraction module configured to extract low-complexity features from a video segment, a neural network configured to predict an optimized CRF as a function of the low-complexity features and a target bitrate, and an encoder configured to encode the video segment using the optimized CRF at the target bitrate.