Social media, self-driving cars, and traffic cameras produce video streams at large scales
and cheap cost. However, storing and querying video at such scales is prohibitively …

We introduce ThalamusDB, a novel approximate query processing system that processes
complex SQL queries on multi-modal data. ThalamusDB supports SQL queries integrating …

Query optimization in relational database management systems (DBMSs) is critical for fast
query processing. The query optimizer relies on precise selectivity and cost estimates to …

Querying video data has become increasingly popular and useful. Video queries can be
complex, ranging from retrieval tasks (“find me the top videos that have…”), to analytics …

In this demonstration, we will present EVA, an end-to-end AI-Relational database
management system. We will demonstrate the capabilities and utility of EVA using three …

The proliferation of 3D scanning technology, particularly within autonomous driving, has led
to an exponential increase in the volume of Point Cloud (PC) data. Given the rich semantic …

International enterprises, organizations, or hospitals collect large amounts of multi-modal
data stored in databases, text documents, images, and videos. While there has been recent …

The development of inexpensive digital cameras and availability of local and cloud data
storage has lead to incredible amounts of digital video production. Meanwhile, the amount of …