activity
20162024
most citedTowards Building Autonomous Data Services on Azure

8 citations · 11 across the 5 of their papers we have counts for

collaborators
Showing cs.DBShow all

5 papers · 1 filter

cs.DB2023

VOCALExplore: Pay-as-You-Go Video Data Exploration and Model Building [Technical Report]

Maureen Daum, Enhao Zhang, Dong He +4

We introduce VOCALExplore, a system designed to support users in building domain-specific models over video datasets. VOCALExplore supports interactive labeling sessions and trains…

cs.DB2023

EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions [Technical Report]

Enhao Zhang, Maureen Daum, Dong He +3

We introduce EQUI-VOCAL: a new system that automatically synthesizes queries over videos from limited user interactions. The user only provides a handful of positive and negative e…

cs.DB2021

VSS: A Storage System for Video Analytics [Technical Report]

Brandon Haynes, Maureen Daum, Dong He +4

We present a new video storage system (VSS) designed to decouple high-level video operations from the low-level details required to store and efficiently retrieve video data. VSS i…

cs.DB2020

TASM: A Tile-Based Storage Manager for Video Analytics

Maureen Daum, Brandon Haynes, Dong He +2

Modern video data management systems store videos as a single encoded file, which significantly limits possible storage level optimizations. We design, implement, and evaluate TASM…

cs.DB2016

PipeGen: Data Pipe Generator for Hybrid Analytics

Brandon Haynes, Alvin Cheung, Magdalena Balazinska

We develop a tool called PipeGen for efficient data transfer between database management systems (DBMSs). PipeGen targets data analytics workloads on shared-nothing engines. It sup…