Welcome to the MKLab website.
The Multimedia Knowledge Laboratory (MKLab) at ITI exhibits substantial research activity in the area of semantic analysis and access to multimedia content.
The most important related areas of R&D activities performed by MKLab include: semantic multimedia analysis, multimedia indexing and retrieval, multimedia and the Semantic Web, knowledge structures, languages and tools for multimedia, reasoning and personalization for multimedia application, semantic analysis of social content, eHealth and medical imaging.Call for User Participation: 3rd VideOlympics Showcase Event at ACM CIVR '09
Do you want to use the most advanced technologies in the multimedia retrieval domain? Do you want to practice and play with new search engines that are unavailable in the market? Submit your request here to participate actively as a user in this pioneer and exciting event!
Invited talk at IRFS 2008 on Patent Image Retrieval
Invited talk given at Information Retrieval Facility Symposium 2008 (IRFS2008) on Patent Image Retrieval. Watch the video of the presentation here.
Invited talk in the Workshop on Semantic User Descriptions and their influence on 3D graphics and VR
Combining visual and knowledge processing for semantics extraction: invited talk given during the Workshop on Semantic User Descriptions and their influence on 3D graphics and VR 
Presentation of MKLab research activities to Yahoo! Research, Barcelona
Research Agenda on Social Web and Media.
Extracting Collective Intelligence from Social Content
WeKnowIt related invited presentation on "Extracting Collective
Intelligence from Social Content" given at the Workshop on Cross-media
information analysis, extraction and management at SAMT 2008.
Putting pictures into words: aceMedia at ICT Results
"Putting pictures into world" article at ICT Results acknowledges the contribution of aceMedia project in Semantic Image Analysis. Read here the whole article.
VERGE Engine
VERGE Engine: a Hybrid Interactive Video Retrieval System implemented by MKLab, combining basic retrieval functionalities with a user-friendly interface. VERGE Engine was successfully presented in VideOlympics 2008 showcase during ACM International Conference on Image and Video Retrieval.
