activity
20162021
most citedVignette: Perceptual Compression for Video Storage and Processing Systems

3 citations · 3 across the 2 of their papers we have counts for

collaborators

5 papers

cs.DC20248 cited

Towards Building Autonomous Data Services on Azure

Yiwen Zhu, Yuanyuan Tian, Joyce Cahoon +35

Modern cloud has turned data services into easily accessible commodities. With just a few clicks, users are now able to access a catalog of data processing systems for a wide range…

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.MM20193 cited

Vignette: Perceptual Compression for Video Storage and Processing Systems

Amrita Mazumdar, Brandon Haynes, Magdalena Balazinska +3

Compressed videos constitute 70% of Internet traffic, and video upload growth rates far outpace compute and storage improvement trends. Past work in leveraging perceptual cues like…

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…