Low power surveillance video coding system

Xin Jin; Kun Ba; Satoshi Goto

doi:10.1109/ICME.2010.5583167

Low power surveillance video coding system

Xin Jin^*, Kun Ba, Satoshi Goto

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this demo, a low power H.264/AVC video encoding system is demonstrated for surveillance video compression, which is based on our proposed algorithms as difference detection and Hilbert transform based workload estimation. Two surveillance video coding schemes (with and without our proposed methods, respectively) are implemented on multi-core embedded platform and compared side by side. The power consumption of each encoding scheme is measured during video encoding and displayed explicitly to show a more than 60% power reduction introduced by the proposed methods. The reconstructed video is also synchronized and displayed as the video is encoded to present a maximum of 50 times higher encoding speed.

Original language	English
Title of host publication	2010 IEEE International Conference on Multimedia and Expo, ICME 2010
Pages	1156-1157
Number of pages	2
DOIs	https://doi.org/10.1109/ICME.2010.5583167
Publication status	Published - 2010
Event	2010 IEEE International Conference on Multimedia and Expo, ICME 2010 - Singapore Duration: 2010 Jul 19 → 2010 Jul 23

Other

Other	2010 IEEE International Conference on Multimedia and Expo, ICME 2010
City	Singapore
Period	10/7/19 → 10/7/23

Keywords

Difference detection
Low power video coding
Surveillance video coding
Workload estimation

ASJC Scopus subject areas

Human-Computer Interaction
Software

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10.1109/ICME.2010.5583167

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@inproceedings{da4f7258db9d40d9a47fecae742997a8,

title = "Low power surveillance video coding system",

abstract = "In this demo, a low power H.264/AVC video encoding system is demonstrated for surveillance video compression, which is based on our proposed algorithms as difference detection and Hilbert transform based workload estimation. Two surveillance video coding schemes (with and without our proposed methods, respectively) are implemented on multi-core embedded platform and compared side by side. The power consumption of each encoding scheme is measured during video encoding and displayed explicitly to show a more than 60% power reduction introduced by the proposed methods. The reconstructed video is also synchronized and displayed as the video is encoded to present a maximum of 50 times higher encoding speed.",

keywords = "Difference detection, Low power video coding, Surveillance video coding, Workload estimation",

author = "Xin Jin and Kun Ba and Satoshi Goto",

year = "2010",

doi = "10.1109/ICME.2010.5583167",

language = "English",

isbn = "9781424474912",

pages = "1156--1157",

booktitle = "2010 IEEE International Conference on Multimedia and Expo, ICME 2010",

note = "2010 IEEE International Conference on Multimedia and Expo, ICME 2010 ; Conference date: 19-07-2010 Through 23-07-2010",

}

TY - GEN

T1 - Low power surveillance video coding system

AU - Jin, Xin

AU - Ba, Kun

AU - Goto, Satoshi

PY - 2010

Y1 - 2010

N2 - In this demo, a low power H.264/AVC video encoding system is demonstrated for surveillance video compression, which is based on our proposed algorithms as difference detection and Hilbert transform based workload estimation. Two surveillance video coding schemes (with and without our proposed methods, respectively) are implemented on multi-core embedded platform and compared side by side. The power consumption of each encoding scheme is measured during video encoding and displayed explicitly to show a more than 60% power reduction introduced by the proposed methods. The reconstructed video is also synchronized and displayed as the video is encoded to present a maximum of 50 times higher encoding speed.

AB - In this demo, a low power H.264/AVC video encoding system is demonstrated for surveillance video compression, which is based on our proposed algorithms as difference detection and Hilbert transform based workload estimation. Two surveillance video coding schemes (with and without our proposed methods, respectively) are implemented on multi-core embedded platform and compared side by side. The power consumption of each encoding scheme is measured during video encoding and displayed explicitly to show a more than 60% power reduction introduced by the proposed methods. The reconstructed video is also synchronized and displayed as the video is encoded to present a maximum of 50 times higher encoding speed.

KW - Difference detection

KW - Low power video coding

KW - Surveillance video coding

KW - Workload estimation

UR - http://www.scopus.com/inward/record.url?scp=78349285905&partnerID=8YFLogxK

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U2 - 10.1109/ICME.2010.5583167

DO - 10.1109/ICME.2010.5583167

M3 - Conference contribution

AN - SCOPUS:78349285905

SN - 9781424474912

SP - 1156

EP - 1157

BT - 2010 IEEE International Conference on Multimedia and Expo, ICME 2010

T2 - 2010 IEEE International Conference on Multimedia and Expo, ICME 2010

Y2 - 19 July 2010 through 23 July 2010

ER -

Low power surveillance video coding system

Abstract

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Keywords

ASJC Scopus subject areas

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