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Title: Extracting semantic video objects
Authors: Long, F
Feng, DD
Peng, H
Siu, WC 
Keywords: Image segmentation
Video signal processing
Issue Date: Jan-2001
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE computer graphics and applications, Jan./Feb. 2001, v. 21, issue 1, p. 48-55 How to cite?
Journal: IEEE computer graphics and applications 
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.
ISSN: 0272-1716
EISSN: 1558-1756
DOI: 10.1109/38.895132
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.
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