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E. Sifakis, I. Grinias, and G. Tziritas, "Video segmentation using fast marching and region growing algorithms," presented at the Workshop Image Analysis for Multimedia Interactive Services, Tampere, Finland, 2001.

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Robust Object Boundary Determination Using A Locally.. - Sifakis, Tziritas (2003)   Self-citation (Sifakis Tziritas)   (Correct)

....an open issue, because of its difficulty and complexity. Furthermore, in the emerging new standards of multimedia content description (MPEG 4 [1] and MPEG 7 [2] image video object extraction is an imperative step. The object localization may be implemented interactively [3] or automatically [4, 5]. A rough object boundary is often extracted in some early stage, for example in video segmentation, where an object might be at first localized using change detection or motion segmentation. In other cases the process of accurate object localization could be interactively initialized and the ....

....process, specifically a confidently classified subset of the image regions, is obtainable through statistical analysis or user interaction. Documented applications include unsupervised static segmentation on color and texture features [7] change detection and moving object localization tracking [4] and motion field segmentation. 3. ALGORITHM DESCRIPTION We introduce a new algorithmic framework aiming to broaden the range of applications of the multi region fast marching algorithms to a class of more delicate problems. As mentioned in subsection 2.2 the applicability of the Bayesian ....

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E. Sifakis, I. Grinias, and G. Tziritas, "Video segmentation using fast marching and region growing algorithms," EURASIP Journal on Applied Signal Processing, vol. 4, pp. 379--388, Apr 2002.


Video Object Segmentation Using Bayes-Based Temporal .. - Mezaris.. (2004)   (Correct)

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E. Sifakis, I. Grinias, and G. Tziritas, "Video segmentation using fast marching and region growing algorithms," presented at the Workshop Image Analysis for Multimedia Interactive Services, Tampere, Finland, 2001.

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