Title
Joint estimation of forward and backward motion vectors for interpolative prediction of video
Abstract
A low-complexity iterative algorithm is introduced for joint estimation of forward and backward motion vectors in interpolative prediction of video. Starting from the initial values obtained by a commonly-used block matching independent search method, the motion vectors are iteratively refined until a locally optimal solution to the motion estimation problem for interpolative prediction is achieved. Each iteration consists of a series of two similar procedures. First, the backward motion vector is fixed and a new forward motion vector is searched to minimize the interpolation error. Then the forward motion vector is fixed and the backward motion vector is similarly refined by minimizing the interpolation error. This process is repeated until the interpolation error stops decreasing. Computer simulation results demonstrate that with this technique the prediction error in some scenes is significantly reduced.
Year
DOI
Venue
1994
10.1109/83.334976
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Keywords
Field
DocType
motion vector,block matching independent search method,backward motion vector,interpolative prediction,interpolation,commonly-used block,computer simulation result,filtering and prediction theory,interpolation error,low-complexity iterative algorithm,motion estimation,prediction error,motion estimation problem,video,image sequences,new forward motion vector,forward motion vector,iterative joint search algorithm,joint estimation,locally optimal solution,minimisation,interpolation error minimisation,iterative methods,video signals,layout,computer simulation,decoding,transform coding,iterative algorithm
Computer vision,Mean squared prediction error,Quarter-pixel motion,Interpolation error,Iterative method,Interpolation,Minimisation (psychology),Artificial intelligence,Motion estimation,Mathematics,Motion vector
Journal
Volume
Issue
ISSN
3
5
1057-7149
Citations 
PageRank 
References 
16
9.58
2
Authors
2
Name
Order
Citations
PageRank
Siu-Wai Wu110438.61
Allen Gersho22031624.48