Addressing the Dark Side of Vision Research: Storage

Authors: 

Vishakha Gupta-Cledat, Luis Remis, and Christina R Strong, Intel Labs

Abstract: 

Data access is swiftly becoming a bottleneck in visual data processing, providing an opportunity to influence the way visual data is treated in the storage system. To foster this discussion, we identify two key areas where storage research can strongly influence visual processing run-times: efficient metadata storage and new storage formats for visual data. We propose a storage architecture designed for efficient visual data access that exploits next generation hardware and give preliminary results showing how it enables efficient vision analytics.

Open Access Media

USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are posted after the event are also free and open to everyone. Support USENIX and our commitment to Open Access.

BibTeX
@inproceedings {203374,
author = {Vishakha Gupta-Cledat and Luis Remis and Christina R Strong},
title = {Addressing the Dark Side of Vision Research: Storage},
booktitle = {9th {USENIX} Workshop on Hot Topics in Storage and File Systems (HotStorage 17)},
year = {2017},
address = {Santa Clara, CA},
url = {https://www.usenix.org/conference/hotstorage17/program/presentation/gupta-cledat},
publisher = {{USENIX} Association},
month = jul,
}