Novel point-oriented inner searches for fast block motion estimation

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Detail(s)

Original languageEnglish
Pages (from-to)9-15
Journal / PublicationIEEE Transactions on Multimedia
Volume9
Issue number1
Publication statusPublished - Jan 2007

Abstract

Recently, an enhanced hexagon-based (EHS) search algorithm was proposed to speedup the original hexagon-based search (HS) using a 6-side-based fast inner search. However, this 6-side-based method is quite irregular by inspecting the distance between the inner search points and the coarse search points that would lower prediction accuracy. In this paper, a new point-oriented grouping strategy is proposed to develop fast inner search techniques for speeding up the HS and diamond search (DS) algorithms. Experimental results show that the new HS and DS using point-oriented inner searches are faster than their original algorithms up to 30% with negligible peak signal-to-noise ratio degradation. © 2006 IEEE.

Research Area(s)

  • Diamond search, Fast motion estimation, Hexagon search, Inner search

Citation Format(s)

Novel point-oriented inner searches for fast block motion estimation. / Po, Lai-Man; Ting, Chi-Wang; Wong, Ka-Man; Ng, Ka-Ho.

In: IEEE Transactions on Multimedia, Vol. 9, No. 1, 01.2007, p. 9-15.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review