Low power parallel encoding system for video surveillance applications

Xin Jin, Kun Ba, Satoshi Goto

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publication2010 International SoC Design Conference, ISOCC 2010
Pages229-232
Number of pages4
DOIs
Publication statusPublished - 2010
Event2010 International SoC Design Conference, ISOCC 2010 - Incheon
Duration: 2010 Nov 222010 Nov 23

Other

Other2010 International SoC Design Conference, ISOCC 2010
CityIncheon
Period10/11/2210/11/23

Keywords

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

ASJC Scopus subject areas

  • Hardware and Architecture

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