BOEMIE was an ambitious large-scale research effort that has advanced considerably the state of the art in multimedia content analysis. In order to make multimedia content like videos or images searchable the data must be meaningfully annotated. This is commonly done by humans, but it is a hard and expensive task. Using sophisticated algorithms to extract semantics from multimedia content, BOEMIE annotates content with semantics automatically and provides valuable knowledge for both, content providers and content consumers.
CPF - Invitation to quality submissions focusing on various aspects of event recognition, including analysis of video, audio, text and other sensor data, as well as recognition on fused data sources. While we place emphasis on theoretical contributions, we also welcome papers describing interesting applications.
The CPF for a Special Session on Event-Based Multimedia Indexing (EBMI) organised during the 9th International Workshop on Content-based Multimedia Indexing (CBMI 2011), 13-15 June 2011, Madrid, Spain available here.
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