Image sequence analysis for emerging interactive multimedia services-the European COST 211 framework

Date
1998-11
Authors
Alatan, A. A.
Onural, L.
Wollborn, M.
Mech, R.
Tuncel, E.
Sikora, T.
Advisor
Supervisor
Co-Advisor
Co-Supervisor
Instructor
Source Title
IEEE Transactions on Circuits and Systems for Video Technology
Print ISSN
1051-8215
Electronic ISSN
Publisher
Institute of Electrical and Electronics Engineers
Volume
8
Issue
7
Pages
802 - 813
Language
English
Type
Article
Journal Title
Journal ISSN
Volume Title
Series
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.

Course
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Book Title
Keywords
Camera motion estimation, Change 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
Citation
Published Version (Please cite this version)