Title
A Wavelet-Based Preprocessing for Moving Object Segmentation in Video Sequences
Abstract
A simple preprocessing method for extracting boundary regions of moving objects in a video sequence is presented. We use Chui's overssampled shift-invariant wavelet transform and the multiresolution motion estimation and compensation in the wavelet domain. Dominant prediction errors often appear along the boundary of a moving object. Our algorithm is developed to detect boundary regions at a coarse scale by utilizing the prediction error information provided in all subband images at the coarse resolution. This is taken as our first step toward the video object segmentation for use in the wavelet-based MPEG-4.
Year
Venue
Keywords
2001
WAA
coarse resolution,multiresolution motion estimation,prediction error information,video sequences,wavelet-based preprocessing,overssampled shift-invariant,boundary region,video object segmentation,object segmentation,coarse scale,wavelet domain,dominant prediction error,video sequence,shift invariant,wavelet transform,prediction error,motion estimation
Field
DocType
ISBN
Computer vision,Mean squared prediction error,Computer science,Segmentation,Multiresolution analysis,Image processing,Preprocessor,Artificial intelligence,Motion estimation,Wavelet transform,Wavelet
Conference
3-540-43034-2
Citations 
PageRank 
References 
1
0.50
8
Authors
4
Name
Order
Citations
PageRank
Li-Chang Liu1277.58
Jong-Chih Chien2174.46
Henry Y. H. Chuang314020.25
Ching-chung Li438365.47