Low power parallel encoding system for video surveillance applications

Xin Jin; Kun Ba; Satoshi Goto

doi:10.1109/SOCDC.2010.5682929

Low power parallel encoding system for video surveillance applications

Xin Jin^*, Kun Ba, Satoshi Goto

^*Corresponding author for this work

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

4 Citations (Scopus)

Abstract

In this paper, an encoding system is proposed to further reduce the power consumption in parallel video encoding based on difference detection and Hilbert transform based workload estimation (HTWE). The proposed parallel encoding system provides an average of 40% computational complexity reduction for parallel encoding without objective performance loss. For the multi-core platform with frequency and voltage scalability, up to 78% of power reduction can be achieved.

Original language	English
Title of host publication	2010 International SoC Design Conference, ISOCC 2010
Pages	229-232
Number of pages	4
DOIs	https://doi.org/10.1109/SOCDC.2010.5682929
Publication status	Published - 2010
Event	2010 International SoC Design Conference, ISOCC 2010 - Incheon Duration: 2010 Nov 22 → 2010 Nov 23

Other

Other	2010 International SoC Design Conference, ISOCC 2010
City	Incheon
Period	10/11/22 → 10/11/23

Keywords

Difference detection
Low power video coding
Parallel video coding
Surveillance system
Workload estimation

ASJC Scopus subject areas

Hardware and Architecture

Access to Document

10.1109/SOCDC.2010.5682929

Cite this

@inproceedings{2d94d098f5b44bd5bacb6411206f9d76,

title = "Low power parallel encoding system for video surveillance applications",

abstract = "In this paper, an encoding system is proposed to further reduce the power consumption in parallel video encoding based on difference detection and Hilbert transform based workload estimation (HTWE). The proposed parallel encoding system provides an average of 40% computational complexity reduction for parallel encoding without objective performance loss. For the multi-core platform with frequency and voltage scalability, up to 78% of power reduction can be achieved.",

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

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

year = "2010",

doi = "10.1109/SOCDC.2010.5682929",

language = "English",

isbn = "9781424486335",

pages = "229--232",

booktitle = "2010 International SoC Design Conference, ISOCC 2010",

note = "2010 International SoC Design Conference, ISOCC 2010 ; Conference date: 22-11-2010 Through 23-11-2010",

}

TY - GEN

T1 - Low power parallel encoding system for video surveillance applications

AU - Jin, Xin

AU - Ba, Kun

AU - Goto, Satoshi

PY - 2010

Y1 - 2010

N2 - In this paper, an encoding system is proposed to further reduce the power consumption in parallel video encoding based on difference detection and Hilbert transform based workload estimation (HTWE). The proposed parallel encoding system provides an average of 40% computational complexity reduction for parallel encoding without objective performance loss. For the multi-core platform with frequency and voltage scalability, up to 78% of power reduction can be achieved.

AB - In this paper, an encoding system is proposed to further reduce the power consumption in parallel video encoding based on difference detection and Hilbert transform based workload estimation (HTWE). The proposed parallel encoding system provides an average of 40% computational complexity reduction for parallel encoding without objective performance loss. For the multi-core platform with frequency and voltage scalability, up to 78% of power reduction can be achieved.

KW - Difference detection

KW - Low power video coding

KW - Parallel video coding

KW - Surveillance system

KW - Workload estimation

UR - http://www.scopus.com/inward/record.url?scp=79851488820&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79851488820&partnerID=8YFLogxK

U2 - 10.1109/SOCDC.2010.5682929

DO - 10.1109/SOCDC.2010.5682929

M3 - Conference contribution

AN - SCOPUS:79851488820

SN - 9781424486335

SP - 229

EP - 232

BT - 2010 International SoC Design Conference, ISOCC 2010

T2 - 2010 International SoC Design Conference, ISOCC 2010

Y2 - 22 November 2010 through 23 November 2010

ER -

Low power parallel encoding system for video surveillance applications

Abstract

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this