W I L L K O M M E N
Universität Freiburg - Institut für Informatik
Lehrstuhl für Mustererkennung und Bildverarbeitung (LMB)
[-]LMB
   [-]Mitarbeiter
    |  | Professor:
    |  |-Prof. Dr.-Ing. Hans Burkhardt
    |  |-Junior-Prof. Dr. Olaf Ronneber... ()
    |  | Sekretariat:
    |  |-Cynthia Findlay ()
    |  | Wiss. Mitarbeiter:
    |  |-Nikos Canterakis
    |  |-Robert Bensch ()
    |  |-Margret Keuper
    |  |-Lingyu Ma ()
    |  |-Dominik Ruess
    |  |-Matthias Schlachter ()
    |  |-Thorsten Schmidt
    |  |-Henrik Skibbe ()
    |  |-Maja Temerinac ()
    |  |-Qing Wang ()
    |  |-Wan Nural Jawahir ()
    |  | Techn. Mitarbeiter:
    |  |-Stefan Teister
    |  | Studenten:
    |  | Gastwissenschaftler:
    |  | Ehem. Mitarbeiter:
    | [+]Alexandra Teynor
    |  |-Marco Reisert
    |  |-Janina Schulz
    | [+]Janis Fehr ()
    | [+]Claus Bahlmann
    |  |-Lothar Bergen
    |  |-Andreas Bieniek
    |  |-Gerd Brunner ()
    |  |-Da-chuan Cheng
    |  |-Mario Emmenlauer
    |  |-Bernard Haasdonk ()
    |  |-Alaa Halawani
    |  |-Ralf Jüngling
    |  |-Dimitrios Katsoulas
    |  |-Alina MOGA's home page
    |  |-Lin Mei
    |  |-K.-D. Peschke
    |  |-Stefan Rahmann
    |  |-Marc Schael
    |  |-Lokesh Setia
    | [+]Sven Siggelkow
    |  |-Sven Utcke
    |  |-XIAOFENG ZHANG
    |  | Ehemalige Gastwissenschaftler:
    |  |-Sebastien Lefevre ()
    |  |-Prof. Dr. Zhe-Ming Lu ()
    |  |-Yonghua Xie ()
    |  `-Xiaokang YANG ()
   [+]Forschung
   [+]Studien-, Diplom- und Bachelor...
   [+]Lehrveranstaltungen
    |-Veranstaltungen
    |-Publikationen
   [+]Awards ()
   [+]Stellenangebote
    |-TILDA
   [+]Software ()
   [+]Interna


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Dr. Lokesh Setia
Chair of Pattern Recognition and Image Processing
Institute for Computer Science
Albert-Ludwigs-University Freiburg
Georges-Koehler-Allee 052, Room 01-021
D-79110 Freiburg i.Br., Germany
Tel. : +49-(0)761-203-8266
Fax : +49-(0)761-203-8262
Email :

Scientific Interests

  • Content-based Image Retrieval [try out a demo of an Image Search Engine]
  • Image Processing
  • Cognition and Machine Learning

Projects


Publications (Reverse chronological order)

2008
  • Machine Learning Strategies for Content Based Image Retrieval
    Lokesh Setia
    PhD Thesis, 2008 [URL]
  • Grayscale Medical Image Annotation using Local Relational Features
    Lokesh Setia, Alexandra Teynor, Alaa Halawani and Hans Burkhardt
    In Pattern Recognition Letters, Special Issue on Medical Image Annotation in ImageCLEF, 2008 [URL]
2007
  • Learning Taxonomies in Large Image Databases
    Lokesh Setia and Hans Burkhardt
    In Proceedings of the ACM SIGIR 2007 Workshop on Multimedia Information Retrieval, Amsterdam, Holland
    © ACM, 2007 [pdf]
  • Block DCT Vectors Construction for Face Retrieval Based on Genetic Algorithm
    Yonghua Xie, Lokesh Setia and Hans Burkhardt
    In The 3rd International Conference on Natural Computation (ICNC'07)
  • Object-based Color Image Retrieval Using Concentric Circular Invariant Features
    Yonghua Xie, Lokesh Setia and Hans Burkhardt
    In International Journal of Computer Sciences and Engineering Systems (to appear)
2006
  • Image Classification using Cluster-Cooccurrence Matrices of Local Relational Features
    Lokesh Setia, Alexandra Teynor, Alaa Halawani, Hans Burkhardt
    In Proceedings of the 8th ACM International Workshop on Multimedia Information Retrieval (MIR 2006), Santa Barbara, CA, USA, October 26-27, 2006.
    © ACM, 2006 [pdf]
  • Radiograph Annotation using Local Relational Features
    Lokesh Setia, Alexandra Teynor, Alaa Halawani, Hans Burkhardt
    In Workshop on Cross Language Evaluation Forum (CLEF), Alicante, Spain, September 19-23, 2006
    [pdf] [talk]
  • Feature Selection for Automatic Image Annotation
    Lokesh Setia and Hans Burkhardt
    In Proceedings of the 28th DAGM Symposium, Berlin, Germany, September 12-14, 2006
    © Springer-Verlag, 2006 [pdf]
  • Properties of Patch Based Approaches for the Recognition of Visual Object Classes
    Alexandra Teynor, Esa Rahtu, Lokesh Setia and Hans Burkhardt
    In Proceedings of the 28th DAGM Symposium, Berlin, Germany, September 12-14, 2006
    © Springer-Verlag, 2006 [pdf]
  • Fundamentals and Applications of Image Retrieval: An Overview
    Alaa Halawani, Alexandra Teynor, Lokesh Setia, Gerd Brunner, Hans Burkhardt
    In Datenbank-Spektrum, Heft 18, August 2006.
2005
  • Kernel Biased Discriminant Analysis using Histogram Intersection Kernel for Content-Based Image Retrieval.
    Lin Mei, Gerd Brunner, Lokesh Setia, and Hans Burkhardt
    In Proceedings of the Sixth International Conference on Intelligent Data Engineering and Automated Learning (IDEAL'05), Australia, 6th - 8th July, 2005.
    © Springer-Verlag, 2005 [pdf]
  • SVM-based Relevance Feedback in Image Retrieval using Invariant Feature Histograms.
    Lokesh Setia, Julia Ick and Hans Burkhardt
    In Proceedings of the IAPR Workshop on Machine Vision Applications (MVA2005), Tsukuba Science City, Japan, 16-18 May 2005.
    [pdf]
  • Rats are able to navigate in virtual enviroments,
    Hölscher C, Schnee A, Dahmen H, Setia L., Mallot HA
    In Journal of Experimental Biology, 208: 561-569 (2005) [abstract]
Master Thesis
  • A panoramic virtual reality interface for studying spatial cognition in rodents and man, at the Cognitive Neuroscience Group, University of Tübingen, Germany (Nov'02-April'03)
Bachelor Thesis
  • Design and implementation of a wideband speech codec at 16-32 kbps using CELP based techniques, Indian Institute of Technology, Delhi, India (July'98-May'99)


Teaching

Supervised Student Research Projects (Studien- / Diplomarbeiten)
  • Julia Ick, Comparision of content based Image Retrieval using one-class and two-class SVM, August 2004 [pdf]
  • Julia Eckert, Watermark Retrieval Enhancement using Relevance Feedback, December 2005 [pdf]
  • Margret Keuper, Object classification using Local Relational Features, June 2006 [pdf]


das Feuer,
das mich quält,
aber zugleich erhöht

ist unsichtbar
ist unsichtbar

ignis, 
quo crucior
immo quo glorior

ignis est invisibilis
est invisibilis

the fire, 
that torments me,
but at the same time 
exalts me as well

is invisible
is invisible
(From the Carmina Burana)