Title :
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
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;
Conference_Titel :
SoC Design Conference (ISOCC), 2010 International
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-8633-5
DOI :
10.1109/SOCDC.2010.5682929
