SLIPstream: scalable low-latency interactive perception on streaming data

Full Text: PdfPdf Buy this ArticleBuy this Article
Authors: Padmanabhan S. Pillai Intel Research Pittsburgh, Pittsburgh, PA, USA
Lily B. Mummert Intel Research Pittsburgh, Pittsburgh, PA, USA
Steven W. Schlosser Intel Research Pittsburgh, Pittsburgh, PA, USA
Rahul Sukthankar Intel research Pittsburgh, Pittsburgh, PA, USA
Casey J. Helfrich Intel Research Pittsburgh, Pittsburgh, PA, USA
SLIPstream: scalable low-latency interactive perception on streaming data Published by ACM 2009 Article
Bibliometrics Data  Bibliometrics
· Downloads (6 Weeks): 2
· Downloads (12 Months): 17
· Downloads (cumulative): 179
· Citation Count: 4

Published in:
Cover Image
 
· Proceeding
NOSSDAV '09 Proceedings of the 18th international workshop on Network and operating systems support for digital audio and video
Pages 43-48
ACM New York, NY, USA ©2009
table of contents ISBN: 978-1-60558-433-1 doi>10.1145/1542245.1542256

Tools and Resources

Share:

|
feedback Feedback | Switch to single page view (no tabs)

Powered by The ACM Guide to Computing Literature


The ACM Digital Library is published by the Association for Computing Machinery. Copyright © 2013 ACM, Inc.
Terms of Usage   Privacy Policy   Code of Ethics   Contact Us

Useful downloads: Adobe Acrobat    QuickTime    Windows Media Player    Real Player
The ACM Guide to Computing Literature
All Tags
Export Formats
 
 
Save to Binder