Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/294
Title: Extracting semantic video objects
Authors: Long, Fuhui
Feng, D. David
Peng, Hanchuan
Siu, Wan-chi
Subjects: Image segmentation
Video signal processing
Issue Date: Jan-2001
Publisher: IEEE
Source: IEEE computer graphics and applications magazine, Jan./Feb. 2001, v. 21, issue 1, p. 48-55
Abstract: We present an accurate and user-interactive semantic video object (SVO) extraction system. Although we also obtain an SVO with an accurate boundary by integrating temporal and spatial information, our way is quite different from others' work. Instead of fusing spatial and temporal segmentations on the first or all the frames of a video sequence, our system adaptively performs spatial and temporal segmentation and fusion when necessary. To achieve this, our system detects the variations between successive frames. We only need to fuse the spatial and temporal segmentation when a large variation occurs. Otherwise, the system tracks the previous SVO's boundary. We find this simple method efficient in both speed and accuracy. Since the temporal segmentation, spatial segmentation, spatio-temporal fusion, and boundary tracking all employ simple algorithms, our system has a low computational complexity.
Rights: © 2001 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
Type: Journal/Magazine Article
URI: http://hdl.handle.net/10397/294
DOI: 10.1109/38.895132
ISSN: 0272-1716
Appears in Collections:EIE Journal/Magazine Articles

Files in This Item:
File Description SizeFormat 
semantic-video_01.pdf326.99 kBAdobe PDFView/Open


All items in the PolyU Institutional Repository are protected by copyright, with all rights reserved, unless otherwise indicated. No item in the PolyU IR may be reproduced for commercial or resale purposes.