Video Transcoding
Video transcoding, the process of converting video files between different formats or qualities, is crucial for efficient streaming and storage. Current research focuses on improving the accuracy of rate-distortion models for predicting transcoding outcomes, developing efficient algorithms for optimizing bitrate ladders and preset selection, and exploring novel architectures like transformers and recurrent neural networks for improved prediction and transcoding efficiency. These advancements aim to enhance video quality, reduce storage costs, and minimize latency in various applications, from live streaming to archival storage, impacting both the user experience and the efficiency of video platforms.
Papers
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