SAND: A New Programming Abstraction for Video-based Deep Learning

Video-based deep learning (VDL) is increasingly used across diverse applications and has become highly popular, but it faces significant challenges in preprocessing highly compressed video data. Preprocessing pipelines are complex, requiring extensive engineering effort, and introduce computational bottlenecks, with latency exceeding GPU training time. Existing solutions partially mitigate these issues but remain inefficient and resource-constrained.