This repository contains the code for our paper on Benchmarking Learning-based Bitrate Ladder Prediction Methods for Adaptive Video Streaming
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Updated
Apr 5, 2024 - Jupyter Notebook
This repository contains the code for our paper on Benchmarking Learning-based Bitrate Ladder Prediction Methods for Adaptive Video Streaming
FFmpeg-based C/C++ pipeline that converts one source video into multiple lower-resolution variants with automated resolution detection and structured output naming.
Multi-codec convex-hull optimization pipeline that computes per-content bitrate ladders from CRF sweep trial data. Combines shot detection, complexity analysis, and per-title/per-shot/per-segment encoding strategies to minimize bitrate at any quality target. Includes BD-Rate computation, VMAF measurement, fixed-ladder comparison, and a chart render
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