Addressing the Dark Side of Vision Research: Storage


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


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.

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@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 = {},
publisher = {USENIX Association},
month = jul