EVA: A Symbolic Approach to Accelerating Exploratory Video Analytics with Materialized Views
Zhuangdi Xu, Gaurav Tarlok Kakkar, Joy James Prabhu Arulraj, Umakishore Ramachandran · Proceedings of the 2022 International Conference on Management of Data · 2022
Advances in deep learning have led to a resurgence of interest in video analytics. In an exploratory video analytics pipeline, a data scientist often starts by searching for a global trend and then iteratively refines the query until they identify the desired local trend. These queries tend to have overlapping computation and often differ in their predicates. However, these predicates are computationally expensive to evaluate since they contain user-defined functions (UDFs) that wrap around deep learning models.