Publikationen

Hier finden Sie von Know-Center MitarbeiterInnen verfasste wissenschaftliche Publikationen

2009

Lindstaedt Stefanie , Moerzinger R., Sorschag R. , Pammer-Schindler Viktoria, Thallinger G.

Automatic Image Annotation using Visual Conent and Folksonomies

Multimedia Tools and Applications, Springer US, 2009

Journal
Automatic image annotation is an important and challenging task, andbecomes increasingly necessary when managing large image collections. This paperdescribes techniques for automatic image annotation that take advantage of collaborativelyannotated image databases, so called visual folksonomies. Our approachapplies two techniques based on image analysis: First, classification annotates imageswith a controlled vocabulary and second tag propagation along visually similar images.The latter propagates user generated, folksonomic annotations and is thereforecapable of dealing with an unlimited vocabulary. Experiments with a pool of Flickrimages demonstrate the high accuracy and efficiency of the proposed methods in thetask of automatic image annotation. Both techniques were applied in the prototypicaltag recommender “tagr”.
2008

Moerzinger R., Sorschag R., Thallinger G., Lindstaedt Stefanie

Automatic Image Annotation using Visual Content and Folksonomies

Proceedings of the Metadata Mining for Image Understanding Workshop at VISAPP2008 in Funchal, Portugal, 22-25 January 2008, 2008

Konferenz
Automatic image annotation is an important and challengingtask when managing large image collections. This paper describestechniques for automatic image annotation by taking advantage of collaborativelyannotated image databases, so called visual folksonomies.Our approach applies two techniques based on image analysis: Classificationannotates images with a controlled vocabulary while tag propagationuses user generated, folksonomic annotations and is thereforecapable of dealing with an unlimited vocabulary. Experiments with apool of Flickr images demonstrate the high accuracy and efficiency ofthe proposed methods in the task of automatic image annotation.
2005

Mayer Harald, Haas Werner, Thallinger Georg, Lindstaedt Stefanie

APOSDLE-advanced process-oriented self directed learning environment

2nd European Workshop on the Integration of Knowledge, Semantics and Digital Media Technology (EWIMT 2005), IET Digital Library, 2005

Konferenz
The goal of the APOSDLE project is to significantly enhanceknowledge worker productivity by supporting informallearning and teaching activities in the context of knowledgeworkers everyday work processes and within their work environments.It exploits synergies between learning and knowledgemanagement by reusing content not originally intendedfor learning, and not require new content to be created. It willutilize contextualized communication for teaching, and notburden experts with additional tasks; and it will be based onknowledge sources available within an organization.The outcome of APOSDLE will be a methodology, softwareframework and reference architecture for workplace learningenhancing the learning processes for the individual and theorganisation. In order to ensure the general applicability ofthis outcome an application-driven approach is used to coverthe needs of three fundamentally different organizations: anetwork of SMEs, a public organization, and a largecorporation.
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