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

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      Author
      Alatan, A. A.
      Onural, L.
      Wollborn, M.
      Mech, R.
      Tuncel, E.
      Sikora, T.
      Date
      1998-11
      Source 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
      Article
      Item Usage Stats
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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 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
      Permalink
      http://hdl.handle.net/11693/25317
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/76.735378
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      • Department of Electrical and Electronics Engineering 3637
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