Image sequence analysis for emerging interactive multimedia services-the European COST 211 framework
Author
Alatan, A. A.
Onural, L.
Wollborn, M.
Mech, R.
Tuncel, E.
Sikora, T.
Date
1998-11Source Title
IEEE Transactions on Circuits and Systems for Video Technology
Print ISSN
1051-8215
Publisher
Institute of Electrical and Electronics Engineers
Volume
8
Issue
7
Pages
802 - 813
Language
English
Type
ArticleItem Usage Stats
135
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112
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Abstract
Flexibility and efficiency of coding, content extraction, and content-based search are key research topics in the field of interactive multimedia. Ongoing ISO MPEG-4 and MPEG-7 activities are targeting standardization to facilitate such services. European COST Telecommunications activities provide a framework for research collaboration. COST 211 bis and COST 211 tcr activities have been instrumental in the definition and development of the ITU-T H.261 and H.263 standards for video-conferencing over ISDN and videophony over regular phone lines, respectively. The group has also contributed significantly to the ISO MPEG-4 activities. At present a significant effort of the COST 211 tcr group activities is dedicated toward image and video sequence analysis and segmentation - an important technological aspect for the success of emerging object-based MPEG-4 and MPEG-7 multimedia applications. The current work of COST 211 is centered around the test model, called the Analysis Model (AM). The essential feature of the AM is its ability to fuse information from different sources to achieve a high-quality object segmentation. The current information sources are the intermediate results from frame-based (still) color segmentation, motion vector based segmentation, and change-detection-based segmentation. Motion vectors, which form the basis for the motion vector based intermediate segmentation, are estimated from consecutive frames. A recursive shortest spanning tree (RSST) algorithm is used to obtain intermediate color and motion vector based segmentation results. A rule-based region processor fuses the intermediate results; a postprocessor further refines the final segmentation output. The results of the current AM are satisfactory; it is expected that there will be further improvements of the AM within the COST 211 project.
Keywords
Camera motion estimationChange detection
Content-based search
COST 211
Data fusion
Image segmentation
Interactive multimedia
Motion analysis
Motion-based segmentation
MPEG-4
MPEG-7
Object tracking
Video processing
Video segmentation
Algorithms
Image segmentation
Interactive computer systems
Mathematical models
Multimedia systems
Recursive functions
Vectors
Camera motion estimation
European COST 211
Interactive multimedia services
Motion analysis
Image analysis
Permalink
http://hdl.handle.net/11693/25317Published Version (Please cite this version)
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