Video Codec
Video codecs compress and decompress video data, aiming to minimize data size while preserving visual quality or, increasingly, performance for machine vision tasks. Current research focuses on improving rate-distortion performance through techniques like neural network-based codecs employing transformers and attention mechanisms, hybrid approaches combining traditional and learned methods, and optimizing codecs for specific downstream applications (e.g., object detection). These advancements are significant because they enable efficient video transmission and storage, particularly crucial for the growing volume of video data used in both human consumption and machine learning applications.
Papers
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