Andrews K., Kienreich Wolfgang, Sabol Vedran, Granitzer Michael
2004
Ley Tobias, Albert D.
2004
2004
Göstinger G., Puntschart I.
2004
Gissing B.
2004
Granitzer Michael, Kienreich Wolfgang, Sabol Vedran, Andrews K.
2004
Lindstaedt Stefanie , Koller S., Krämer T.
2004
Lux M., Granitzer Michael, Kienreich Wolfgang, Sabol Vedran, Klieber Hans-Werner, Sarka W.
2004
Bailer Werner, Mayer H., Neuschmied H., Haas W., Lux M., Klieber Hans-Werner
2004
Retrieval in current multimedia databases is usually limited to browsing and searching based on low-level visual features and explicit textual descriptors. Semantic aspects of visual information are mainly described in full text attributes or mapped onto specialized, application specific description schemes. Result lists of queries are commonly represented by textual descriptions and single key frames. This approach is valid for text documents and images, but is often insufficient to represent video content in a meaningful way. In this paper we present a multimedia retrieval framework focusing on video objects, which fully relies on the MPEG-7 standard as information base. It provides a content-based retrieval interface which uses hierarchical content-based video summaries to allow for quick viewing and browsing through search results even on bandwidth limited Web applications. Additionally semantic meaning about video content can be annotated based on domain specific ontologies, enabling a more targeted search for content. Our experiences and results with these techniques will be discussed in this paper.
Lux M., Klieber Hans-Werner, Granitzer Michael
2004
Farmer J., Lindstaedt Stefanie , Droschl G., Luttenberger P.
2004
Carrying out today’s knowledge work without information and communicationtechnology (ICT) is unimaginable. ICT makes it possible to process and exchangeinformation quickly and efficiently. However, accomplishing tasks with ICT isoften tedious: Colleagues have to be asked, how best to proceed. Necessaryresources have to be searched for in the intranet and internet. And one has toget familiar with applying the various systems and tools. This way, solving asimple task can become a time consuming process for inexperienced employeesand also for those who are asked for their expertise.Therefore, at the Know-Center Graz, Austria , the AD-HOC methodology hasbeen developed to support knowledge workers in task-oriented learning andteaching situations. This methodology is used to analyse the work processes, toidentify the needed resources, tools, and systems, and finally to design an ADHOCEnvironment. In this environment, systems and tools are arranged forspecific work processes. Users are then guided at their work tasks and areprovided with the necessary resources instantly.This article presents the AD-HOC methodology. It analyses the obstacles thathamper efficient knowledge work and how AD-HOC overcomes them. Finally, thesupport of users at their specific work tasks by deployed AD-HOC Environmentsis shown in two field studies.
Timbrell G., Koller S., Lindstaedt Stefanie
2004