Beyond stream processing - A distributed vision architecture for the Internet of Things

Peter Corcoran

doi:10.13025/18696

Beyond stream processing - A distributed vision architecture for the Internet of Things

Peter Corcoran

Electrical & Electronic Engineering

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

4 Citations (Scopus)

Abstract

An 'edge-based' image processing architecture for the internet of things (IoT) is devised, drawing on the existing image processing pipelines that are implemented in today's imaging modules in digital cameras and smartphones. A key element of this IoT framework is that image or video data does not have to be streamed across the network, but can be largely processed on the sensing nodes with metadata transmitted to intermediate control nodes that can detect certain events/conditions and trigger corresponding actions.

Original language	English
Title of host publication	2016 IEEE International Conference on Consumer Electronics, ICCE 2016
Editors	Francisco J. Bellido, Daniel Diaz-Sanchez, Nicholas C. H. Vun, Carsten Dolar, Wing-Kuen Ling
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	168-169
Number of pages	2
ISBN (Electronic)	9781467383646
DOIs	https://doi.org/10.13025/18696 https://doi.org/10.1109/icce.2016.7430567
Publication status	Published - 10 Mar 2016
Event	IEEE International Conference on Consumer Electronics, ICCE 2016 - Las Vegas, United States Duration: 7 Jan 2016 → 11 Jan 2016

Publication series

Name	2016 IEEE International Conference on Consumer Electronics, ICCE 2016

Conference

Conference	IEEE International Conference on Consumer Electronics, ICCE 2016
Country/Territory	United States
City	Las Vegas
Period	7/01/16 → 11/01/16

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10.13025/18696Licence: CC BY-NC-ND
10.1109/icce.2016.7430567

BeyondStreamProcessing2015Accepted author manuscript, 243 KBLicence: CC BY-NC-ND

Cite this

Corcoran, P. (2016). Beyond stream processing - A distributed vision architecture for the Internet of Things. In F. J. Bellido, D. Diaz-Sanchez, N. C. H. Vun, C. Dolar, & W.-K. Ling (Eds.), 2016 IEEE International Conference on Consumer Electronics, ICCE 2016 (pp. 168-169). Article 7430567 (2016 IEEE International Conference on Consumer Electronics, ICCE 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.13025/18696, https://doi.org/10.1109/icce.2016.7430567

Corcoran, Peter. / Beyond stream processing - A distributed vision architecture for the Internet of Things. 2016 IEEE International Conference on Consumer Electronics, ICCE 2016. editor / Francisco J. Bellido ; Daniel Diaz-Sanchez ; Nicholas C. H. Vun ; Carsten Dolar ; Wing-Kuen Ling. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 168-169 (2016 IEEE International Conference on Consumer Electronics, ICCE 2016).

@inproceedings{758dea6be33343c9aca9591a6a064bf8,

title = "Beyond stream processing - A distributed vision architecture for the Internet of Things",

abstract = "An 'edge-based' image processing architecture for the internet of things (IoT) is devised, drawing on the existing image processing pipelines that are implemented in today's imaging modules in digital cameras and smartphones. A key element of this IoT framework is that image or video data does not have to be streamed across the network, but can be largely processed on the sensing nodes with metadata transmitted to intermediate control nodes that can detect certain events/conditions and trigger corresponding actions.",

author = "Peter Corcoran",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; IEEE International Conference on Consumer Electronics, ICCE 2016 ; Conference date: 07-01-2016 Through 11-01-2016",

year = "2016",

month = mar,

day = "10",

doi = "10.13025/18696",

language = "English",

series = "2016 IEEE International Conference on Consumer Electronics, ICCE 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "168--169",

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booktitle = "2016 IEEE International Conference on Consumer Electronics, ICCE 2016",

}

Corcoran, P 2016, Beyond stream processing - A distributed vision architecture for the Internet of Things. in FJ Bellido, D Diaz-Sanchez, NCH Vun, C Dolar & W-K Ling (eds), 2016 IEEE International Conference on Consumer Electronics, ICCE 2016., 7430567, 2016 IEEE International Conference on Consumer Electronics, ICCE 2016, Institute of Electrical and Electronics Engineers Inc., pp. 168-169, IEEE International Conference on Consumer Electronics, ICCE 2016, Las Vegas, United States, 7/01/16. https://doi.org/10.13025/18696, https://doi.org/10.1109/icce.2016.7430567

Beyond stream processing - A distributed vision architecture for the Internet of Things. / Corcoran, Peter.
2016 IEEE International Conference on Consumer Electronics, ICCE 2016. ed. / Francisco J. Bellido; Daniel Diaz-Sanchez; Nicholas C. H. Vun; Carsten Dolar; Wing-Kuen Ling. Institute of Electrical and Electronics Engineers Inc., 2016. p. 168-169 7430567 (2016 IEEE International Conference on Consumer Electronics, ICCE 2016).

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

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PY - 2016/3/10

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N2 - An 'edge-based' image processing architecture for the internet of things (IoT) is devised, drawing on the existing image processing pipelines that are implemented in today's imaging modules in digital cameras and smartphones. A key element of this IoT framework is that image or video data does not have to be streamed across the network, but can be largely processed on the sensing nodes with metadata transmitted to intermediate control nodes that can detect certain events/conditions and trigger corresponding actions.

AB - An 'edge-based' image processing architecture for the internet of things (IoT) is devised, drawing on the existing image processing pipelines that are implemented in today's imaging modules in digital cameras and smartphones. A key element of this IoT framework is that image or video data does not have to be streamed across the network, but can be largely processed on the sensing nodes with metadata transmitted to intermediate control nodes that can detect certain events/conditions and trigger corresponding actions.

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M3 - Conference Publication

T3 - 2016 IEEE International Conference on Consumer Electronics, ICCE 2016

SP - 168

EP - 169

BT - 2016 IEEE International Conference on Consumer Electronics, ICCE 2016

A2 - Bellido, Francisco J.

A2 - Diaz-Sanchez, Daniel

A2 - Vun, Nicholas C. H.

A2 - Dolar, Carsten

A2 - Ling, Wing-Kuen

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - IEEE International Conference on Consumer Electronics, ICCE 2016

Y2 - 7 January 2016 through 11 January 2016

ER -

Corcoran P. Beyond stream processing - A distributed vision architecture for the Internet of Things. In Bellido FJ, Diaz-Sanchez D, Vun NCH, Dolar C, Ling WK, editors, 2016 IEEE International Conference on Consumer Electronics, ICCE 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 168-169. 7430567. (2016 IEEE International Conference on Consumer Electronics, ICCE 2016). doi: 10.13025/18696, 10.1109/icce.2016.7430567

Beyond stream processing - A distributed vision architecture for the Internet of Things

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