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

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dc.citation.epage813en_US
dc.citation.issueNumber7en_US
dc.citation.spage802en_US
dc.citation.volumeNumber8en_US
dc.contributor.authorAlatan, A. A.en_US
dc.contributor.authorOnural, L.en_US
dc.contributor.authorWollborn, M.en_US
dc.contributor.authorMech, R.en_US
dc.contributor.authorTuncel, E.en_US
dc.contributor.authorSikora, T.en_US
dc.date.accessioned2016-02-08T10:42:43Z
dc.date.available2016-02-08T10:42:43Z
dc.date.issued1998-11en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractFlexibility 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.en_US
dc.identifier.doi10.1109/76.735378en_US
dc.identifier.issn1051-8215
dc.identifier.urihttp://hdl.handle.net/11693/25317
dc.language.isoEnglishen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/76.735378en_US
dc.source.titleIEEE Transactions on Circuits and Systems for Video Technologyen_US
dc.subjectCamera motion estimationen_US
dc.subjectChange detectionen_US
dc.subjectContent-based searchen_US
dc.subjectCOST 211en_US
dc.subjectData fusionen_US
dc.subjectImage segmentationen_US
dc.subjectInteractive multimediaen_US
dc.subjectMotion analysisen_US
dc.subjectMotion-based segmentationen_US
dc.subjectMPEG-4en_US
dc.subjectMPEG-7en_US
dc.subjectObject trackingen_US
dc.subjectVideo processingen_US
dc.subjectVideo segmentationen_US
dc.subjectAlgorithmsen_US
dc.subjectImage segmentationen_US
dc.subjectInteractive computer systemsen_US
dc.subjectMathematical modelsen_US
dc.subjectMultimedia systemsen_US
dc.subjectRecursive functionsen_US
dc.subjectVectorsen_US
dc.subjectCamera motion estimationen_US
dc.subjectEuropean COST 211en_US
dc.subjectInteractive multimedia servicesen_US
dc.subjectMotion analysisen_US
dc.subjectImage analysisen_US
dc.titleImage sequence analysis for emerging interactive multimedia services-the European COST 211 frameworken_US
dc.typeArticleen_US

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