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Fuzzy Data Fusion for Multiple Cue Image and Video Segmentation

  • Chapter
Fuzzy Filters for Image Processing

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 122))

Summary

Fusion of multiple cue image partitions is described as an indispensable tool towards the goal of automatic object-based image and video segmentation, interpretation and coding. Since these tasks involve human cognition and knowledge of image semantics, which are absent in most cases, fusion of all available cues is crucial for effective segmentation of generic video sequences. This chapter investigates fuzzy data fusion techniques which are capable of integrating the results of multiple cue segmentation and provide time consistent spatiotemporal image partitions corresponding to moving objects.

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Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering Image, Video and Multimedia Systems Laboratory, National Technical University of Athens, 9 Iroon Polytechniou St., 157 73, Zographou, Athens, Greece

    Spyros Ioannou, Yannis Avrithis, Giorgos Stamou & Stefanos Kollias

Authors
  1. Spyros Ioannou
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  2. Yannis Avrithis
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  3. Giorgos Stamou
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  4. Stefanos Kollias
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Editor information

Editors and Affiliations

  1. Dept. of Applied Mathematics and Computer Science, Ghent University, Krijgslaan 281 (S9), 9000, Gent, Belgium

    Mike Nachtegael , Dietrich Van der Weken  & Etienne E. Kerre ,  & 

  2. Biomedical Imaging Group EPFL/STI/LIB, Swiss Federal Institute of Technology Lausanne, Bat. BM4. 140, 1015, Lausanne EPFL, Switzerland

    Dimitri Van De Ville

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© 2003 Springer-Verlag Berlin Heidelberg

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Ioannou, S., Avrithis, Y., Stamou, G., Kollias, S. (2003). Fuzzy Data Fusion for Multiple Cue Image and Video Segmentation. In: Nachtegael, M., Van der Weken, D., Kerre, E.E., Van De Ville, D. (eds) Fuzzy Filters for Image Processing. Studies in Fuzziness and Soft Computing, vol 122. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-36420-7_9

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  • DOI: https://doi.org/10.1007/978-3-540-36420-7_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-05591-1

  • Online ISBN: 978-3-540-36420-7

  • eBook Packages: Springer Book Archive

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