Titlebook: Semantic Multimedia; 5th International Co Thierry Declerck,Michael Granitzer,Michael Sintek Conference proceedings 2011 Springer-Verlag Gmb

角斗士

Conference proceedings 2011 Saarbrücken, Germany, in December 2010. .As a result of a highly selective review procedure, 12 full papers and 4 short papers were accepted for publication. The contributions present novel approaches for managing, distributing and accessing large amounts of multimedia material. The topics covered

遵循的规范

咯咯笑

Query Expansion in Folksonomies data available in folksonomies extremely sparse. Spareness in folksonomies makes searching resources difficult. Many relevant resources against a query might not be retrieved if they are not associated with the queried terms. One possible way to overcome the search problem in folksonomies is query

解开

Ranking of Semantically Annotated Media Resourcesng approaches from the field of information retrieval are not always appropriate to be implemented in search engines based on semantics. Thus this paper proposes a customized ranking approach for multimedia resources based on semantic annotations which is based on the vector space model. An initial

吞下

Enabling Semantic Search in a News Production Environmente. In this process, the efficient retrieval of previously broadcasted news items is important, both for gathering background information and for reuse of footage in new reports. This paper discusses how the quality of descriptive metadata of news items can be optimized, by collecting data generated

无辜

Integration of Existing Multimedia Metadata Formats and Metadata Standards in the M3Oprovenance of multimedia metadata. The goal of the M3O is to integrate existing metadata standards and metadata formats rather than replacing them. To this end, the M3O provides a scaffold needed to represent multimedia metadata. Being an abstract model for multimedia metadata, it is not straightfor

征兵

defenses

序曲

暂时休息

Automated Annotation of Landmark Images Using Community Contributed Datasets and Web Resourcesrns a semantically-rich annotation comprising tags which both identify the landmark in the image, and provide an interesting fact about it, e.g. “A view of the Eiffel Tower, which was built in 1889 for an international exhibition in Paris”. This exploits visual and textual web mining in combination