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.

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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

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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.

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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

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Published Version (Please cite this version)