MOTION-BASED OBJECT SEGMENTATION AND ESTIMATION USING THE MDL PRINCIPLE

被引:29
作者
ZHENG, HY [1 ]
BLOSTEIN, SD [1 ]
机构
[1] QUEENS UNIV,DEPT ELECT ENGN,KINGSTON,ON K7L 3N6,CANADA
基金
加拿大自然科学与工程研究理事会;
关键词
D O I
10.1109/83.413167
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
There are increasing demands for ultralow bit-rate video image transmission, We present a new formulation of moving object segmentation and motion estimation to quantify the potential gain in using object-oriented motion compensation in image sequence coding, Motivated by real-valued parameter estimation required in object-oriented motion-compensated video source coding, a framework motivated by Rissanen's minimum description length (MDL) principle is proposed to more tightly couple motion estimation and object segmentation algorithms to the overall objective of minimizing source bit rate, A new objective function is constructed, and a suboptimal procedure to segment and estimate moving objects in a scene is proposed, Each object is represented by chain-coded block boundaries, affine motion parameters, and motion-compensated prediction error. A number of experimental comparisons between block- and object-oriented coding schemes suggests a significant potential coding gain using object-oriented motion-compensated coding.
引用
收藏
页码:1223 / 1235
页数:13
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