Referenced by Shih-Fu Chang Shih-Fu Chang, who got the Technical Achievement Award at ACM Multimedia 2011, mentioned Christoph Kofler's and my work on user intentions in his presentation.

Guest lecture at Passau University This semester I'm giving a guest lecture at Passau University on the development of computer games. It's an introductory course and it's based on the computer games course at Klagenfurt University last summer .

User intentions in multimedia is a novel and promising field as well as my main and most favourite research topic. Here are some interesting publications to read:

• C. Kofler, M. Lux (2009) Dynamic presentation adaptation based on user intent classification. ACM Multimedia 2009 ACM page
• M. Lux, C. Kofler, O. Marques (2010) A classification scheme for user intentions in image search. CHI 2010 ACM page
• M. Lux, M. Kogler, M. del Fabro (2010) Why did you take this photo: a study on user intentions in digital photo productions. SAPMIA 2010 ACM page
• M. Kogler, M. Lux, O. Marques (2011) Adaptive Visual Information Retrieval by changing visual vocabulary sizes in context of user intentions. MMWeb 2011 to be published by IEEE.
• C. Lagger, M. Lux, O. Marques (2011) Which video do you want to watch now? MMWeb 2011 to be published by IEEE.

LIRe (Lucene Image Retrieval) is an open source library for content based image retrieval. Besides providing multiple common and state of the art retrieval mechanisms it allows for easy use on multiple platforms. LIRe is actively used for research, teaching and commercial applications. Due to its modular nature it can be used on process level (e.g. index images and search) as well as on image feature level. Developers and researchers can easily extend and modify LIRe to adapt it to their needs.

• M. Lux, S.A. Chatzichristofis (2008) Lire: lucene image retrieval: an extensible java CBIR library. ACM Multimedia 2008. Download the paper.
• Website: http://www.semanticmetadata.net/lire

• Phone: +43 (463) 2700 3615
• Fax: +43 (463) 2700 99 3615
• Address: Universitätsstraße 65-67, 9020 Klagenfurt, Austria
• Email: mlux [at] itec [dot] uni-klu [dot] ac [dot] at
• Office: E.2.59
• Consultation-Hour: Request appointments via email.

• Google Talk: mathias.lux [at] gmail [dot] com
• Skype: Call via Skype

• Geo Location: Find me here ...
• Link to this page: http://tinyurl.com/mlux-itec

Dr. Mathias Lux is currently assistant professor at the Institute for Information Technology at Klagenfurt University. He received his M.S. in Mathematics and his Ph.D. in Telematics from Graz University of Technology. He worked in industry on web-based applications, then as a junior researcher at a research center for knowledge-based applications. He was research and teaching assistant at the Knowledge Management Institute (KMI) of Graz University of Technology and in 2006 he started working in a post doc position at Klagenfurt University, at the Institute for Information Technology. In his scientific career he has (co-) authored more than 50 scientific publications and has served in multiple program committees of international conferences. He is also well known for managing the development of the award winning and popular open source tools Caliph & Emir and LIRe for multimedia information retrieval. He is currently working on user intentions in multimedia retrieval and production and emergent semantics in social multimedia computing.

• 1996-2004 Studies in Mathematics / Graz University of Technology
• June 2004 Finished studies in Technical Mathematics at Graz University of Technology with distinction (Dipl. Ing. ~ master degree), find the thesis here.
• 1998-2001 Employee and contract worker in companies of the Styria Medien AG group. (Carinthia Online, Media Consult Austria and Netconomy)
• 2001-2006 Junior Researcher at the Know-Center
• Nov. 2006 finished doctoral studies with distinction.
• 2006-… Assistant professor at the Institute for Information Technology (ITEC) at Klagenfurt University

Find a list of all my publications including links to the PDFs and BibTeX entries here:

http://www.itec.uni-klu.ac.at/~mlux/publications.html

Furthermore an incomplete list of my research related activities can be found here: Activities.

• VIR tutorial by Oge Marques featuring Lire @ SIGIR 2012 (2012/05/16 10:38)

  Dr. Oge Marques, author of the book Practical Image and Video Processing Using MATLAB is giving a tutorial on Java based visual information retrieval at SIGIR 2012. Oge Marques is Associate Professor in the Department of Computer & Electrical Engineering and Computer Science at Florida Atlantic University. He has been teaching and doing research on image and [...]
• Lire API doc – extracted from the SVN (2012/03/20 09:42)

  Just added an additional link to the Lire API docs generated from the SVN in the course of the nightly build. You’ll hopefully find them helpful Please let me know if you note errors, missing documentation or if you have contributions to the documentation. Find the docs at http://www.itec.uni-klu.ac.at/lire/nightly/api/index.html.
• Lire Nightly Builds (2012/03/19 17:07)

  Obviously the release cycle of lire is quite a long one. Therefore I just added a cronjob for a nightly build on one of our institute’s servers. The current SVN version of Lire will be downloaded, compiled, packaged and put online at 0:01 am CET everyday, 7 days a week. While there won’t be too [...]
• Two new research papers published (2012/03/17 09:27)

  Two research contributions of me and my colleagues finally made their way online. The paper Adaptive Visual Information Retrieval by Changing Visual Vocabulary Sizes in Context of User Intentions by Marian Kogler, Oge Marques and me investigates how the size and generation process of visual word vocabularies influences retrieval for different degrees of intentionality, being a clear [...]
• Apache Commons Sanselan – Image and Metadata I/O (2012/03/16 09:32)

  Apache Commons has a nice sub project called Sanselan. It’s a pure Java image library for reading and writing images from and to PNG, PSD (partially), GIF, BMP, ICO, TGA, JPEG and TIFF. It also supports EXIF, IPTC and XMP metadata formats, read for all, write for some. Examples for reading and writing images, EXIF, guessing [...]