SemanticMetadata.net

Social Media, Tagging and Images Semantics

Recently there was quite a buzz around the whole social media topic. Many researchers saw indications that the willingness or people to share and annotate content might lead to new ways of indexing, searching and consuming multimedia. The biggest problems with the buzz is … that it’s BIG Many research groups produced even more papers and with the rising number of papers the scientific impact got smaller and smaller. However Neela Sawant, Jia Li and James Z. Wang took a close look at more than 200 papers and provide a survey on part of the topic with the journal article “Automatic image semantic interpretation using social action and tagging data” in the Multimedia Tools and Applications journal.

Links

• Paper at Springerlink
• PDF at stanford.edu

Best Paper Award

“SPCD – SPATIAL COLOR DISTRIBUTION DESCRIPTOR – A Fuzzy Rule based Composite Descriptor Appropriate for Hand Drawn Color Sketches Retrieval” received the best paper award at the 2nd International Conference on Agents and Artificial Intelligence (ICAART), Valencia-Spain, January 22-24, 2010.

Congratulations to Savvas!

Links

• Original post

SeMuDaTe 09 already started

I’m currently in Graz, chairing the first session of SeMuDaTe 09, a community workshop of the multimedia metadata community. I’m looking forward to a day full of interesting talks and discussions. Proceedings of the event are already available at ceur.ws. Our paper on Global vs. Local Feature in Video Summarization will be presented in the afternoon by my colleague Marian Kogler.

Links:

• http://CEUR-WS.org/Vol-539/
• Our paper: Global vs. Local Feature in Video Summarization

Contribution @ I-KNOW 09 accepted!

The contribution of Christoph Kofler and me with the title “An exploratory study on the explicitness of user intentions in digital photo retrieval” has been accepted for publication and presentation at the I-Know ’09. Here is the abstract (the full paper will follow as soon as we have prepared the camera ready version):

Search queries are typically interpreted as specification of information need of a user. Typically the search query is either interpreted as is or based on the context of a user, being for instance a user profile, his/her previously undertaken searches or any other background information. The actual intent of the user – the goal s/he wants to achieve with information retrieval – is an important part of a user’s context. In this paper we present the results of an exploratory study on the interplay between the goals of users and their search behavior in multimedia retrieval.

This work has been supported by the SOMA project.

Links

• I-KNOW 09
• SOMA project