Multimedia Knowledge and Social Media Analytics Laboratory

M-OntoMat 2.0, Image Annotation Tool

This is an old, not supported version. For a more recent version of a Video Image Annotation Tool, please visit:

Linking Ontologies and Multimedia High-Level Features for Multimedia Analysis, Reasoning and Retrieval

Within K-Space, M-OntoMat-Annotizer 2.0 is a user-friendly tool based on an extension of OntoMat - Annotizer developed within aceMedia Integrated Project. The Visual Annotation Framework (VAF) tool was developed as an extensible plug-in to OntoMat-Annotizer and supports automatic segmentation and annotation at Segment and Image level. Annotation concerns the assignment of domain ontology concepts to image segments or images.


M-OntoMat-Annotizer presents a graphical interface for loading and processing of image content, extraction of image segment and image annotations and association with concrete concepts and prototype instances from the loaded domain ontology.

The tool also supports automatic segmentation of still images into segments, segment selection and merging, modification of annotation color and extraction of annotations to the annotation table.

M-OntoMat-Annotizer creates the necessary knowledge that could then be exploited by content analysis & reasoning tasks.