%0 Conference Paper %1 Bloehdorn2005Semantic %A Bloehdorn, Stephan %A Petridis, Kosmas %A Saathoff, Carsten %A Simou, Nikos %A Tzouvaras, Vassilis %A Avrithis, Yannis %A Handschuh, Siegfried %A Kompatsiaris, Yiannis %A Staab, Steffen %A Strintzis, Michael G. %B The Semantic Web: Research and Applications: Proceedings of the Second European Semantic Web Conference, ESWC 2005, Heraklion, Crete, Greece, May 29-June 1, 2005 %D 2005 %E Gómez-Pérez, Asunción %E Euzenat, Jérôme %I Springer, Berlin--Heidelberg, Germany %K annotation image multimedia semanticweb video %P 592-607 %T Semantic Annotation of Images and Videos for Multimedia Analysis %U http://dx.doi.org/10.1007/11431053_40 %V 3532 %X Annotations of multimedia documents typically have been pursued in two different directions. Either previous approaches have focused on low level descriptors, such as dominant color, or they have focused on the content dimension and corresponding annotations, such as person or vehicle. In this paper, we present a software environment to bridge between the two directions. M-OntoMat-Annotizer allows for linking low level MPEG-7 visual descriptions to conventional Semantic Web ontologies and annotations. We use M-OntoMat- Annotizer in order to construct ontologies that include prototypical instances of high-level domain concepts together with a formal specification of corresponding visual descriptors. Thus, we formalize the interrelationship of high- and low-level multimedia concept descriptions allowing for new kinds of multimedia content analysis and reasoning.

@inproceedings{Bloehdorn2005Semantic, abstract = {Annotations of multimedia documents typically have been pursued in two different directions. Either previous approaches have focused on low level descriptors, such as dominant color, or they have focused on the content dimension and corresponding annotations, such as person or vehicle. In this paper, we present a software environment to bridge between the two directions. M-OntoMat-Annotizer allows for linking low level MPEG-7 visual descriptions to conventional Semantic Web ontologies and annotations. We use M-OntoMat- Annotizer in order to construct ontologies that include prototypical instances of high-level domain concepts together with a formal specification of corresponding visual descriptors. Thus, we formalize the interrelationship of high- and low-level multimedia concept descriptions allowing for new kinds of multimedia content analysis and reasoning.}, added-at = {2011-07-29T14:26:44.000+0200}, author = {Bloehdorn, Stephan and Petridis, Kosmas and Saathoff, Carsten and Simou, Nikos and Tzouvaras, Vassilis and Avrithis, Yannis and Handschuh, Siegfried and Kompatsiaris, Yiannis and Staab, Steffen and Strintzis, Michael G.}, biburl = {https://www.bibsonomy.org/bibtex/240073cfae228c9eaddbd132fd5968cbd/veronicasu}, booktitle = {The Semantic Web: Research and Applications: Proceedings of the Second European Semantic Web Conference, ESWC 2005, Heraklion, Crete, Greece, May 29-June 1, 2005}, editor = {G{\'o}mez-P{\'e}rez, Asunci{\'o}n and Euzenat, J{\'e}r{\^o}me}, interhash = {576c5d62f4697b8f69f4056c546e11e1}, intrahash = {40073cfae228c9eaddbd132fd5968cbd}, keywords = {annotation image multimedia semanticweb video}, pages = {592-607}, publisher = {Springer, Berlin--Heidelberg, Germany}, series = {Lecture Notes in Computer Science}, timestamp = {2011-07-29T14:26:44.000+0200}, title = {Semantic Annotation of Images and Videos for Multimedia Analysis}, url = {http://dx.doi.org/10.1007/11431053_40}, volume = 3532, year = 2005 }