Search Results for Tag: CASAM
Annotate multimedia content
CASAM was an annotation project. It aimed to simplify the task of machine and human produced semantic annotation of multimedia content. In contrast to clear text, information in multimedia content such as audio and video cannot be easily processed by machines. The project was motivated by the limitations of efforts to fully automate multimedia content annotation.
The goal of CASAM was to combine human and machine intelligence to maximize the performance and benefits in a semi-manual annotation scheme.
Deutsche Welle was a user partner and contributed to news use case, validation and dissemination.
The project ran from Apr 2008 – Mar 2011
DateThursday, November 1st, 2012