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Diese Seite optimiert für AusdruckPublications of Sven Siggelkow
(if you prefer BibTeX entries, please cut them from publications.bib from which this page was generated)
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S. Siggelkow.
Feature Histograms for Content-Based Image Retrieval.
PhD thesis, Albert-Ludwigs-Universität Freiburg, Fakultät für Angewandte Wissenschaften, Germany, December 2002. - 2
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S. Siggelkow and H. Burkhardt.
Improvement of histogram-based image retrieval and classification.
In IAPR International Conference on Pattern Recognition (ICPR), volume 3, pages 367-370, Quebec City, Canada, September 2002. - 3
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S. Siggelkow, M. Schael, and H. Burkhardt.
SIMBA - Search IMages By Appearance.
In B. Radig and S. Florczyk, editors, Pattern Recognition, DAGM, LNCS 2191, pages 9-16, München, Germany, September 2001. - 4
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W. Herzner, M. Nölle, B. Wender, E. Laure, and S. Siggelkow.
Towards a universal content-based image and video retrieval system.
In M. Syed, editor, ICIMADE Conference Proceedings - Distance Learning and MultiMedia, volume 1, pages 48-61, Fargo, North Dakota, USA, June 2001. - 5
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S. Siggelkow and H. Burkhardt.
Fast invariant feature extraction for image retrieval.
In R. C. Veltkamp, H. Burkhardt, and H.-P. Kriegel, editors, State-of-the-Art in Content-Based Image and Video Retrieval, pages 43-68. Kluwer, 2001. - 6
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H. Burkhardt and S. Siggelkow.
Invariant features in pattern recognition - fundamentals and applications.
In C. Kotropoulos and I. Pitas, editors, Nonlinear Model-Based Image/Video Processing and Analysis, pages 269-307. John Wiley & Sons, 2001. - 7
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M. Schael and S. Siggelkow.
Invariant grey-scale features for 3D sensor-data.
In IAPR International Conference on Pattern Recognition (ICPR), volume 2, pages 531-535, Barcelona, Spain, September 2000. - 8
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S. Siggelkow and M. Schael.
Fast estimation of invariant features.
In W. Förstner, J. M. Buhmann, A. Faber, and P. Faber, editors, Mustererkennung, DAGM, pages 181-188, Bonn, Germany, September 1999. - 9
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S. Siggelkow.
Fast estimation of invariant features.
Technical report, Albert-Ludwigs-Universität Freiburg, Institut für Informatik, Germany, 1999. - 10
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E. Laure, M. Nölle, S. Siggelkow, and B. Wender.
GISE - A design for a global image search environment.
Technical report, Albert-Ludwigs-Universität Freiburg, Institut für Informatik, Germany, 1999. - 11
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S. Siggelkow and H. Burkhardt.
Praktikumsversuch Farbe.
In H. Burkhardt, Bildverarbeitungspraktikum I, Albert-Ludwigs-Universität Freiburg, Institut für Informatik, Germany, 1999. - 12
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S. Siggelkow, J. Heuer, H. Burkhardt, and A. Kaup.
Image retrieval based on local invariant features.
Technical report, Albert-Ludwigs-Universität Freiburg, Institut für Informatik, Germany, January 1999. - 13
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M. Schael and S. Siggelkow.
Sensitivity and correlation analysis for the construction of invariant grey-scale features.
Technical report, Albert-Ludwigs-Universität Freiburg, Institut für Informatik, Germany, 1998. - 14
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S. Siggelkow and H. Burkhardt.
Image retrieval based on local invariant features.
In IASTED International Conference on Signal and Image Processing (SIP) 1998, pages 369-373, Las Vegas, USA, October 1998. - 15
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S. Siggelkow and H. Burkhardt.
Invariant feature histograms for texture classification.
In Joint Conference on Information Sciences (JCIS), volume 4, pages 230-233, Research Triangle Park, North Carolina, USA, October 1998. - 16
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S. Siggelkow and H. Burkhardt.
Image retrieval based on colour and nonlinear texture invariants.
In S. Marshall, N. Harvey, and D. Shah, editors, Noblesse Workshop on Non-Linear Model Based Image Analysis, pages 217-224, Glasgow, UK, July 1998. Springer. - 17
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S. Siggelkow and H. Burkhardt.
Local invariant feature histograms for image retrieval.
Technical report, Albert-Ludwigs-Universität Freiburg, Institut für Informatik, Germany, 1998. - 18
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S. Siggelkow and H. Burkhardt.
Local invariant feature histograms for texture classification.
Technical report, Albert-Ludwigs-Universität Freiburg, Institut für Informatik, Germany, 1997. - 19
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S. Siggelkow.
Stereo image coding.
Technical report, Albert-Ludwigs-Universität Freiburg, Institut für Informatik, Germany, 1997. - 20
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S. Siggelkow.
The wiener theory of nonlinear systems and algorithms for the construction of invariant image features.
Technical report, Albert-Ludwigs-Universität Freiburg, Institut für Informatik, Germany, 1997. - 21
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A. Ibenthal, S. Siggelkow, and R.-R. Grigat.
Verfahren zur Bildsegmentierung/Method of image segmentation.
Patent no. DE19615493 (also EP0802680, JP10069544, CN1168056), October 1997. - 22
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A. Ibenthal, S. Siggelkow, and R.-R. Grigat.
Verfahren zur Bildsegmentierung/Method of image segmentation.
Patent no. DE19615492 (also EP0802679, JP10056614, US6044114), October 1997. - 23
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A. Ibenthal, S. Siggelkow, and R.-R. Grigat.
Image sequence segmentation for object oriented coding.
In Digital Compression Technologies and Systems for Video Communictations, SPIE, volume 2952, pages 2-11, Berlin, Germany, October 1996. - 24
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H. Schulz-Mirbach, H. Burkhardt, and S. Siggelkow.
Using invariant features for content based data retrieval.
In Workshop on Nonlinear Methods in Model-Based Image Interpretation, pages 1-5, Lausanne, Switzerland, September 1996. - 25
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S. Siggelkow, R.-R. Grigat, and A. Ibenthal.
Segmentation of image sequences for object oriented coding.
In IEEE International Conference on Image Processing (ICIP), volume 2, pages 477-480, Lausanne, Switzerland, September 1996. - 26
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S. Siggelkow, R.-R. Grigat, and A. Ibenthal.
Segmentierung von Bildfolgen für MPEG-4.
In 17. Tagung der Fernseh- und Kinotechnischen Gesellschaft (FKTG), pages 271-281, Wien, Austria, May 1996. - 27
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S. Siggelkow.
Segmentierung von Bildfolgen für objektorientierte Codierung.
Master's thesis, Technische Universität Hamburg-Harburg, Technische Informatik I, Germany, September 1995. - 28
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S. Siggelkow.
Implementierung von Erweiterungen zum Hauptpraktikumsversuch Mustererkennung.
Undergraduate thesis, Technische Universität Hamburg-Harburg, Technische Informatik I, Germany, October 1994.
Sven Siggelkow
2003-02-05