A high quality fast motion estimation algorithm for H.264/AVC

Wenqi You, Yang Song, Takeshi Ikenaga, Satoshi Goto

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

3 Citations (Scopus)

Abstract

This paper proposes a novel computational structure for Sum of Absolute Difference (SAD) in Fast Full Search (FFS) algorithm to ellipsis part of the SAD value dependency. This structure adopts an SAD Accumulating Termination Algorithm (SAD-ATA) and an Early Loop Termination Decision (ELTD). SAD-ATA is used to analyze and determine whether to skip the following operation of successive SAD accumulation or not, and ELTD is for the control and reduction of SAD comparison loops' degree in FFS ME. The Ratio Distortion (RD) based simulation results show that the proposed algorithm achieves an acceleration in ME processing speed by averagely more than 92% and 20% reduction compared with Full Search (FS) and Fast Full Search (FFS) in H.264 JM12.4, respectively. Meanwhile, the impact on video quality is negligible.

Original languageEnglish
Title of host publicationProceedings - 1st International Congress on Image and Signal Processing, CISP 2008
Pages375-379
Number of pages5
DOIs
Publication statusPublished - 2008 Sep 22
Event1st International Congress on Image and Signal Processing, CISP 2008 - Sanya, Hainan, China
Duration: 2008 May 272008 May 30

Publication series

NameProceedings - 1st International Congress on Image and Signal Processing, CISP 2008
Volume1

Conference

Conference1st International Congress on Image and Signal Processing, CISP 2008
CountryChina
CitySanya, Hainan
Period08/5/2708/5/30

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing

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  • Cite this

    You, W., Song, Y., Ikenaga, T., & Goto, S. (2008). A high quality fast motion estimation algorithm for H.264/AVC. In Proceedings - 1st International Congress on Image and Signal Processing, CISP 2008 (pp. 375-379). [4566182] (Proceedings - 1st International Congress on Image and Signal Processing, CISP 2008; Vol. 1). https://doi.org/10.1109/CISP.2008.187