Low power parallel encoding system for video surveillance applications

Author

Jin, Xin ; Ba, Kun ; Goto, Satoshi

Author_Institution

Inf. Technol. Res. Organ., Waseda Univ., Kitakyushu, Japan

fYear

2010

fDate

22-23 Nov. 2010

Firstpage

229

Lastpage

232

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

Hilbert transforms; low-power electronics; video coding; video surveillance; Hilbert transform based workload estimation; computational complexity reduction; difference detection; frequency scalability; low power parallel encoding system; multicore platform; parallel video encoding; power consumption; power reduction; video surveillance application; voltage scalability; Computational complexity; Encoding; Estimation; Multicore processing; Power demand; Transform coding; Transforms; Parallel video coding; difference detection; low power video coding; surveillance system; workload estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

SoC Design Conference (ISOCC), 2010 International

Conference_Location

Seoul

Print_ISBN

978-1-4244-8633-5

Type

conf

DOI

10.1109/SOCDC.2010.5682929

Filename

5682929