tailieunhanh - Báo cáo hóa học: "An Automated Video Object Extraction System Based on Spatiotemporal Independent Component Analysis and Multiscale Segmentation"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: An Automated Video Object Extraction System Based on Spatiotemporal Independent Component Analysis and Multiscale Segmentation | Hindawi Publishing Corporation EURASIP Journal on Applied Signal Processing Volume 2006 Article ID 45217 Pages 1-22 DOI ASP 2006 45217 An Automated Video Object Extraction System Based on Spatiotemporal Independent Component Analysis and Multiscale Segmentation Xiao-Ping Zhang and Zhenhe Chen Department of Electrical and Computer Engineering Faculty of Engineering and Applied Science Ryerson University 350 Victoria Street Toronto ON Canada M5B 2K3 Received 12 September 2004 Revised 13 March 2005 Accepted 27 May 2005 Video content analysis is essential for efficient and intelligent utilizations of vast multimedia databases over the Internet. In video sequences object-based extraction techniques are important for content-based video processing in many applications. In this paper a novel technique is developed to extract objects from video sequences based on spatiotemporal independent component analysis stICA and multiscale analysis. The stICA is used to extract the preliminary source images containing moving objects in video sequences. The source image data obtained after stICA analysis are further processed using wavelet-based multiscale image segmentation and region detection techniques to improve the accuracy of the extracted object. An automated video object extraction system is developed based on these new techniques. Preliminary results demonstrate great potential for the new stICA and multiscale-segmentation-based object extraction system in content-based video processing applications. Copyright 2006 Hindawi Publishing Corporation. All rights reserved. 1. INTRODUCTION The increasing popularity of video processing is due to the high demand for video in entertainment security related applications education telemedicine database and new wireless telecommunications. Recently interesting research topics such as automated and efficient content-based video processing techniques are attracting much attention. The content-based video presentation is an .