Highly parallel fractional motion estimation engine for Super Hi-Vision 4k×4k@60fps

Yiqing Huang*, Qin Liu, Takeshi Ikenaga

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

One Super Hi-Vision (SHV) 4k×4k@60fps fractional motion estimation (FME) engine is proposed in our paper. Firstly, two complexity reduction schemes are proposed in the algorithm level. By analyzing the integer motion cost, 48% clock cycle is saved based on our mode pre-filtering scheme. By further check the motion cost of neighboring search points, our directional one-pass scheme can achieve reduction of 50% clock cycle and 36% hardware cost. Secondly, in the hardware level, two parallel improved schemes namely 16-Pel interpolation and MB-parallel processing are given out. Thirdly, one unified pixel block loading scheme is proposed. About 28.67% to 80.68% pixels are reused and the related memory access is saved. Furthermore, one parity pixel organization scheme is proposed to solve memory access conflict of MB-parallel processing. By using TSMC 0.18μm technology in worst work conditions (1.62V, 125°C), our FME engine can achieve real-time processing for SHV 4k×4k@60fps with 976.5k gates hardware.

Original languageEnglish
Title of host publication2009 IEEE International Workshop on Multimedia Signal Processing, MMSP '09
DOIs
Publication statusPublished - 2009 Dec 1
Event2009 IEEE International Workshop on Multimedia Signal Processing, MMSP '09 - Rio De Janeiro, Brazil
Duration: 2009 Oct 52009 Oct 7

Publication series

Name2009 IEEE International Workshop on Multimedia Signal Processing, MMSP '09

Conference

Conference2009 IEEE International Workshop on Multimedia Signal Processing, MMSP '09
Country/TerritoryBrazil
CityRio De Janeiro
Period09/10/509/10/7

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Signal Processing

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